march 31 - april 3, 2020 exeter, uk @complenet #complenet20 … · 2020-03-04 · eugenio valdano,...

March 31 - April 3, 2020 Exeter, UK

@CompleNet #CompleNet20

Conference Program

INTERNATIONAL CONFERENCE ON COMPLEX NETWORKS

Conference Program Twitter Hashtag: #CompleNet20

Sponsors and Supporters We thank all the sponsors and supporters of this year event. Their help has

been fundamental to the success of this year’s conference

Gold Sponsor

Sponsors

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Organising Committee General Chairs

Program Chairs

Ronaldo Menezes University of Exeter

UK @ronaldomenezes

Giuseppe Mangioni University of Catania

Italy @mangionig

Hugo Barbosa University of Exeter

UK @hugo_sbarbosa

Jesús Gómes-Gardeñes University of Zaragoza

Spain @gomezgardenes

Poster Chair Publication ChairMarcos Oliveira, GESIS, Germany Bruno Gonçalves, Data for Science, Inc., USA

Webmaster Local OrganisationAna Maria Jaramillo, University of Exeter, UK Lucy Aldridge, University of Exeter, UK

Zexun Chen, University of Exeter, UK Sima Farokhnejad, University of Exeter, UK

Ana Maria Jaramillo, University of Exeter, UK Mariana Macedo, University of Exeter, UK

Clodomir Santana, University of Exeter, UK

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Steering Committee

Scientific Committee

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Alex Arenas, Universitat Rovira i Virgili, Spain Kate Coronges, Northeastern University, USA

Giuseppe Mangioni, Univ. of Catania, Italy José Mendes, University of Aveiro, Portugal

Ronaldo Menezes, University of Exeter, UK Stephen Uzzo, New York Hall of Science, USA Vinko Zlatić, Rudjer Boskovic Institute, Croatia

Albert Diaz-Guilera, Universitat de Barcelona, Spain Albert Sole, Universitat Rovira i Virgili, Spain

Alberto Antonioni, Universidad Carlos III de Madrid, Spain Aleksandra Aloric, Institute of Physics in Belgrade, Serbia

Alessandro Longheu, Universita Di Catania, Italy Alessio Cardillo, Universitat Rovira i Virgili, Spain

Alex Arenas, Universitat Rovira i Virgili, Spain Alexandre Evsukoff, Univ. Federal do Rio de Janeiro, Brazil

Andrea Tagarelli, Università della Calabria, Italy Aniello Lampo, Universitat Oberta de Catalunya, Spain

Anna Zygmunt, Wrocław Univ. of Science and Technology, Poland Antonio Allard, Université Laval, Canada

Anurag Singh, National Institute of Technology, Delhi, India Attila Szolnoki, Inst. of Tech. Physics & Materials Science, Hungary

Bruno Cunha, University of Limerick, Ireland Carlo Piccardi, Politecnico di Milano, Italy

Carlos Gracia, Universidad de Zaragoza, Spain Carlos Ribeiro, Universidade de Lisboa, Portugal

Carolina Xavier, Universidade Federal do Rio de Janeiro, Brazil Chiara Poletto, Inserm, France

Christian Bick, University of Exeter, UK Christophe Letellier, Université de Rouen, France

Clara Granell, Universitat Rovira i Virgili, Spain Claudio Juan Tessone, University of Zurich, Switzerland

David Soriano, Universidad de Zaragoza, Spain Diego Pinheiro, University of California, USA

Diego Silva, Universidade Federal de São Carlos, Brazil Diogo Pacheco, Indiana University, USA

Elsa Arcaute, University College London, UK Eugenio Valdano, University of California, Los Angeles, USA

Eytan Katzav, The Hebrew University of Jerusalem, Israel Fabrizio De Vico Fallani, INRIA-ICM, France

Federico Battiston, Central European University, Hungary Federico Botta, Warwick Business School, UK

Felipe Montes, Universidad de los Andes, Colombia Frabrizio De Vico, Brain and Spine Institute (ICM), France

Francisco Santos, Universidade de Lisboa, Portugal

Frank Schweitzer, ETH Zurich, Switzerland Frank Takes, Universiteit Leiden, Netherlands

Fuad Aleskerov, HSE University, Russia Gergely Palla, Eötvös Loránd University, Hungary Giacomo Livan, University College London, UK

Ginestra Bianconi, Queen Mary University of London, UK Giulio Cimini, Istituto dei Sistemi Complessi, CNR-ISC, Italy

Giulio Rossetti, Italian National Research Council (ISTI-CNR ), Italy Giuseppe Mangioni, University of Catania, Italy

Goran Muric, University of Southern California, USA Haoxiang Xia, Dalian University of Technology, China

Hiroki Sayama, Binghamton University, USA Hocine Cherifi, University of Burgundy, USA

Huajiao Li, China University of Geosciences, China Hugo Barbosa, University of Exeter, UK Hywel Williams, University of Exeter, UK

Irene Sendina, Universidad Rey Juan Carlos, Spain James Gleeson, University of Limerick, Ireland

Jan Treur, Vrije Universiteit Amsterdam, Netherlands Jari Saramäki, Aalto University, Finland

Javier Galeano, Universidad Politécnica de Madrid, Spain Javier M. Buldu, Universidad Rey Juan Carlos, Spain Jesper Bruun, University of Copenhagen, Denmark

Jesús Gómez-Gardeñes, Universidad de Zaragoza, Spain Joan Matamalas, Harvard Medical School, USA

Joaquín Goñi, Purdue University, USA Johann Martinez, Universidad de los Andes, Colombia

Jordi Duch, Northwestern University, USA Jordi Soriano, Universitat de Barcelona, Spain

Jose Mendez-Bermudez, Ben. Univ. Autonoma de Puebla, Mexico José Javier Ramasco, IFISC, Spain

Jose Mendes, University of Aveiro, Portugal Juan Fernandez-Gracia, IFISC, Spain

Jun Wu, Shanghai Jiao Tong University, China Juyong Park, Advanced Inst. of Science & Technology, S. Korea

Kwang-Il Goh, Korea University, S. Korea Laura Lotero, Universidad Pontificia Bolivariana, Colombia


Scientific Committee

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Leon Danon, University of Exeter, UK Leto Peel, Université Catholique de Louvain, USA

Lucas Lacasa, Queen Mary University of London, UK Luis Rocha, Indiana University,USA

Luiz Alves, Universidade de São Paulo, Brazil Mahdi Jalili, RMIT University, Australia

Malbor Asllani, Universite de Namur, Italy Malvina Marku, University of Tirana, Albania

Manlio De Domenico, Fondazione Bruno Kessler, Italy Marco Javarone, University College London, UK Massimo Stella, University of Southampton, UK

Matteo Cinelli, Università degli Studi di Roma, Italy Matteo Zignani, Università degli Studi di Milano, Italy

Matthias Brust, University of Luxembourg, Luxembourg Maximilian Schich, University of Texas at Dallas, USA Mehmet Gunes, Stevens Institute of Technology, USA

Michael Danziger, Northeastern University, USA Michael Szell, IT University of Copenhagen, Denmark

Michele Coscia, IT University of Copenhagen, Denmark Naoki Masuda, State University of New York Buffalo, USA

Nazim Choudhury, University of South Florida, USA Osamu Sakai, Boston University, USA

Paul Expert, Imperial College London, UK Pedro Ribeiro, Universidade do Porto, Portugal

Peter Pollner, Hungarian Academy of Sciences, Hungary Petra Vertes, University of Cambridge, UK

Philipp Hoevel, University College Cork, Ireland

Philippe Giabbanelli, Furman University, USA Pietro Panzarasa, Queen Mary University of London, UK

Raffaella Burioni, Università di Parma, Italy Ralucca Gera, Naval Postgraduate School, USA

Renaud Lambiotte, University of Oxford, UK Rita Santos, University of York, UK

Roberta Sinatra, University of Copenhagen, Denmark Ronaldo Menezes, University of Exeter, UK

Rosa Benito, Universidad Politecnica de Madrid, Spain Sabrina Gaito, Università degli Studi di Milano, Italy

Sandro Meloni, IFISC, Spain Sean Cornelius, Northeastern University, USA

Sebastian Ahnert, University of Cambridge, UK Sebastian Skardal, Trinity College, USA Sergey Shvydun, HSE University, Russia

Sergio Gomez, Universitat Rovira i Virgili, Spain Stephen Uzzo, New York Institute of Technology, USA

Sudarshan Iyengar, Indian Institute of Technology Ropar, India Sune Lehmann, Technical University of Denmark, Denmark

Taha Yasseri, University of Oxford, UK Thais Uzun, Instituto Tecnológico de Aeronáutica, Brazil

Theresa Migler, Cal Poly, San Luis Obispo, USA Thorsten Strufe, Karlsruhe Institute of Technology, USA

Tim Evans, Imperial College London, UK Timoteo Carletti, Université de Namur, Belgium

Tsuyoshi Murata, Tokyo Institute of Technology, Japan Vincenzo Nicosia, Queen Mary University of London, UK


Statistics General

Submissions by Area

Submission by Country

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Applications of Network Science13%

Dynamics on and of Networks11%

Social Networks9%

Network Metrics6%

Network Topology and Geometry5%

Human Behavior & Social Influence5%

Community Structure5%

Algorithms5%

Multiplex and Multilayer Networks4%

Others36%

Rejected48%

Paper Poster5%

Abstract Poster20%

Paper Lightning Talk2%

Abstract Lightning Talk5%

Paper Oral7%

Abstract Oral13%

Others29%

India2%

Portugal4%

Brazil4%

France5%

Germany6%

Spain7%

Italy10%

United States14%

United Kingdom18%

CompleNet 2020 has received a record number of submissions. There were 237 submissions (papers and abstracts) and 124 were accepted for presentation. The

overall acceptance rate was 52% which is the lowest acceptance rate CompleNet had to date. The acceptance

for published papers was <35%. These works received 496 reviews provided by reviewers from 28 different

countries.

The diversity of the works fits with the intent of the event. Works were

received in 29 different areas, with many works indicating Others as the topic of work. The largest number of submissions were in Applications of Network Science and Dynamics on and of Networks. We are also quite pleased that the 3rd highest area of submission was Social Networks.

CompleNet 2020 attracted scientists from more than 50 countries. There were 790 authors participating in the 237 submissions. An average of 3.3 authors per contribution. The effect of having the event in the UK is significant given that 18% of the authors are from

the UK. Every continent was represented in the collection of submissions (except Antarctica). The USA had the largest number of submissions outside Europe

with 14% of the authors. Other countries worth mentioned and not shown below are Japan,

Colombia, Ireland and China with nearly with at least 10 authors from each.


Conference Visualised Abstracts Word Cloud

Titles Word Cloud

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Invited Speakers

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Topological Data Analysis for Investigating Dynamics on and of Biological NetworksTopological data analysis (TDA) allows one to examine features in data across multiple scales in a robust and mathematically principled manner, and it is being applied to an increasingly diverse set of applications. We investigate the dynamics of biological networks, models and data using topological data analysis with concrete examples from contagions, neuroscience, and cancer. Time permitting, we will present preliminary results using TDA to analyse biological systems indexed by multiple parameters.

Prof Harrington's research focuses on the problem of reconciling models and data by extracting information about the structure of models and the shape of data. To develop these methods, Prof Harrington integrates techniques from a variety of disciplines such as computational algebraic geometry and computational topology, statistics, optimisation, network theory, and systems biology. She is Co-Director of the Centre for Topological Data Analysis and she has been awarded an LMS Whitehead Prize and Adams Prize for her research contributions.

Heather Harrinton

University of Oxford, UK @haharrington


Invited Speakers

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Diversity and Social Evolution: Theoretical and Experimental ApproachesIn this talk, I will provide an overview of our three recent studies on the effects of diversity on complex social processes. Multidisciplinary methodologies are used, combining mathematical/computational modeling and human-subject experiments. The first study investigates primarily through agent-based simulation how diversities of individuals' knowledge and behavior may affect the performance of collective decision-making taking place in a social network. The second study experimentally tests the effects of individuals' background diversity on collaborative design and innovation. The third study elucidates via adaptive network simulation the importance of behavioral diversity of individuals on the maintenance of cultural (informational) diversity and social connectivity. Through these three interrelated studies, we illustrate how different forms of diversity of social constituents can have different, nontrivial implications for collective social dynamics. Hiroki Sayama is a Professor in the Department of Systems Science and Industrial Engineering, and the Director of the Center for Collective Dynamics of Complex Systems (CoCo), at Binghamton University, State University of New York. He received his B.Sc., M.Sc. and D.Sc. in Information Science, all from the University of Tokyo, Japan. He did his postdoctoral work at the New England Complex Systems Institute in Cambridge, Massachusetts. His research interests include complex dynamical networks, human and social dynamics, collective behaviours, artificial life/chemistry, interactive systems, and complex systems education, among others. He is an expert of mathematical/computational modelling and analysis of various complex systems. He has published more than 150 peer-reviewed journal articles and conference proceedings papers and has written or edited 13 books and conference proceedings about complex systems related topics. He currently serves as an elected Council and Executive Committee member of the Complex Systems Society (CSS), the Chief Editor of Complexity (Wiley/Hindawi), an Associate Editor of Artificial Life (MIT Press), and as an editorial board member for several other journals.

Hiroki Sayama

Binghamton University, State University of New York, USA

Waseda University, Japan @hirokisayama


Invited Speakers

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Biodiversity and Structural Stability of Multilayer Ecological NetworksRelations among species in ecosystems can be represented as complex networks where both negative and positive interactions are concurrently present. In the past years, such representation has spurred many advances –but also many debates– especially around mutualistic communities, whose structural features appear to facilitate mutually beneficial interactions and increase biodiversity, under some given population dynamics. However, current approaches neglect the complexity of inter-species competition by adopting a mean-field perspective that does not deal with competitive interactions properly. In this talk, we show that the information encoded in mutualistic networks can be used to build up a multilayer network that naturally accounts for both mutualism and competition. We then propose a new population dynamics that reveal that the structural stability of the system depends on an intricate relation between competition and mutualism. Finally, by performing a stability analysis, we show that May's hypothesis for the complexity of real ecosystems holds for real mutualistic networks.

Prof. Yamir Moreno got his PhD in Physics (Summa Cum Laude, 2000) from the University of Zaragoza. He is the Director of the Institute for Biocomputation and Physics of Complex Systems (BIFI), the head of the Complex Systems and Networks Lab (COSNET) and Professor of Physics at the Department of Theoretical Physics of the Faculty of Sciences, University of Zaragoza. Prof. Moreno is also a Deputy Director of the ISI Foundation in Italy and External Professor of the Complexity Science Hub Vienna, Austria. He received the CSS Senior Scientific Award in 2019 and is an ISI Highly Cited Scientist 2019. Prof. Moreno is the elected President of the Network Science Society and was the President of the Complex Systems Society from 2015 to 2018. His field of research is in the theoretical foundations of complex systems, which he investigates using tools from mathematics, physics and network science. Prof. Moreno is a world expert on disease dynamics, diffusion processes, mathematical biology, nonlinear dynamical processes, and the structure and dynamics of complex systems. He has published more than 200 scientific papers with a total of 18500+ citations and h-index=54 (ISI WoK) or 30500+ and 64 (Google Scholar). At present, Prof. Moreno is a Divisional Associate Editor of Physical Review Letters, Editor of the New Journal of Physics, Chaos, Solitons and Fractals, and Journal of Complex Networks; an Academic Editor of PLoS ONE, and a member of the Editorial Boards of Scientific Reports, Applied Network Science, and Frontiers in Physics.

Yamir Moreno

University of Zaragoza, Spain @cosnet_bifi


Invited Speakers

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The Dynamics of Friendship in the Offline and Online WorldsRobin Dunbar gained his MA from the University of Oxford and a PhD from Bristol University. He is currently Professor of Evolutionary Psychology at the University of Oxford, and an Emeritus Fellow of Magdalen College. He has held Research Fellowships and Professorial Chairs in Psychology, Biology and Anthropology at the University of Cambridge, Stockholm University, University College London, and the University of Liverpool. He is an elected Fellow of the British Academy, and was co-Director of the British Academy’s Centenary Research Project. His principal research interests focus on the evolution of sociality in mammals (with particular reference to ungulates, primates and humans). He is best known for the social brain hypothesis, the gossip theory of language evolution and Dunbar’s Number (the limit on the number of relationships that we can manage). His current project focusses on the mechanisms of social cohesion, and uses a range of approaches from comparative analysis to cognitive experiments to neuroimaging to explore the mechanisms that allow humans to create large scale communities. His popular science books include The Trouble With Science, Grooming, Gossip and the Evolution of Language, The Human Story, How Many Friends Does One Person Need? Dunbar’s Number and Other Evolutionary Quirks, The Science of Love and Betrayal and Human Evolution.

As one of the most intensely social species, friendships are central to our success as individuals and as a species. In the face-to-face offline world where our sociality, and the psychological mechanisms that underpin this, has evolved over many hundreds of thousands of years, time imposes severe constraints on our abilities to interact with many people. Out of sight quickly becomes out of mind. The internet, and especially social media, offers the opportunity to break through these constraints so as to dramatically increase the size of our global village. But has this promissory note been fulfilled? And if not, why not? I shall suggest that the constraint lies as much in our psychology as it does in the constraints of time. Nonetheless, a better understanding of how these constraints work may provide better insights into how social media might be employed to greater advantage.

Robin Dunbar

University of Oxford, UK @robindunbar10


Invited Speakers

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Using Social Network Analyses To Understand the Evolution of Hunter-Gatherers’ Complex Culture

The human capacity for cumulative culture (the type of culture that cannot be recreated by a single individual and accumulates over generations) has evolved over hundreds of thousands of years in our pre-Neolithic ancestors. Hunter-gatherers are vanishing fast, and yet are the best window we have into a lifestyle that has shaped our unique evolutionary traits. Using social network analyses, quantification of hunter-gatherers medicinal plant knowledge and agent-based model simulations, I show how hunter-gatherers multi-level sociality has facilitated the evolution of cumulative culture.

Andrea Bamberg Migliano is a Professor in Evolutionary Anthropology at the University of Zurich. She works on comparative behaviour of hunter-gatherer populations, with ongoing fieldwork in the Philippines and Congo. She uses behavioural ecology, network analyses and experimental psychology to understand how diversity in the hunter-gatherers foraging niche has shaped human-specific adaptations such as complex sociality, cumulative culture and pro-sociality. Prof Migliano received her PhD in Evolutionary Anthropology from the University of Cambridge in 2007. Following her PhD, she has held a Junior Research Fellowship at Clare College, Cambridge, followed by an Associate Professorship at University College London. Since moving to Zurich in 2018, Prof Migliano has started the Hunter-Gatherers Evolutionary Ecology Group expanding the comparative fieldwork approach to Indonesia and the Amazon.

Andrea Migliano

University of Zurich, Switzerland @andrea_migliano


Invited Speakers

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Studying the Interplay Between Epidemic Dynamics and Human Behavior Based on Risk Perception

Human behavioral responses play an important role in the impact of disease outbreaks and yet they are often overlooked in epidemiological models. Understanding to what extent behavioral changes determine the outcome of spreading epidemics is essential to design effective intervention policies. In this talk, we will explore the interplay between the personal decision to protect oneself from infection and the spreading of an epidemic. I will present a model that couples a decision game based on the perceived risk of infection with a Susceptible-Infected-Susceptible model. Interestingly, we see that the simple decision on whether to protect oneself is enough to modify the course of the epidemics, by generating sustained steady oscillations in the prevalence. We deem these oscillations detrimental and propose two intervention policies aimed at modifying behavioral patterns to help alleviate them. Surprisingly, we find that pulsating campaigns, compared to continuous ones, are more effective in diminishing such oscillations.

Clara Granell Martorell is a Juan de la Cierva Postdoctoral Researcher at the Department of Physics of the Condensed Matter at the Universidad de Zaragoza, Spain. She obtained her PhD from Universitat Rovira i Virgili, in Tarragona, Spain. Her past appointments include postdoctoral training at the Department of Mathematics of the University of North Carolina at Chapel Hill and the Universitat de Barcelona Institute of Complex Systems. Her work is devoted to complex systems, with a special focus on problems suited to be represented with networks. She has experience working in Epidemic Spreading, Community Detection, Multiplex Networks as well as applying theoretical methods to real data, such as Neuronal Networks.

Clara Granell

University of Zaragoza, Spain @claragranell


Invited Speakers

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The Pulse of the CityIn this talk, I will sketch the ways in which networks have and are being developed for understanding and forecasting the spatial structure of cities. I will review a little of the history of the way cities have developed, and the way networks are key to the way energy in terms of people, goods, and information provide the lifeblood of the city. I will make an important distinction between the high and low-frequency city, arguing that flows on networks are usually studied either in near real-time or over much longer periods, the former being central to the way we understand traffic on a minute by minute, hour by hour basis, the latter being ways in which cities grow and evolve with respect to different transportation networks. I will relay two examples of such ideas, first explaining how we have used the Oyster card payment data in Greater London to represent and simulate movements on the Tube, and secondly to explore ways in which the entire spatial structure of Great Britain can be explored in terms of the long term impact of new infrastructure projects such as Crossrail 1 and HS2. In this way, I hope to outline ways in which networks are critical constructs in building a science of cities and effective methodologies for their planning.

Michael Batty is Bartlett Professor of Planning at University College London, where he is Chair of the Centre for Advanced Spatial Analysis (CASA). He has worked on computer models of cities and their visualisation since the 1970s and has published several books, such as Cities and Complexity (MIT Press, 2005) and The New Science of Cities (MIT Press, 2013). Both books won the Alonso Prize of the North American Regional Science Association. His most recent book, Inventing Future Cities, was published by MIT Press in late 2018. Prior to his current position, he was Professor of City Planning and Dean of the School of Environmental Design at the University of Wales at Cardiff from 1979 to 1990 and then Director of the National Center for Geographic Information and Analysis at the State University of New York at Buffalo from 1990 to 1995. He is a Fellow of the British Academy (FBA) and the Royal Society (FRS), was awarded the CBE in the Queen’s Birthday Honours in 2004 and the 2013 recipient of the Lauréat Prix International de Géographie Vautrin Lud. In 2015 he received the Gold Medal of the Royal Geographical Society for his work on the science of cities. In 2016, he received the Senior Scholar Award of the Complex Systems Society and the Gold Medal of the Royal Town Planning Institute. In 2018, he was awarded the Waldo Tobler prize for GI Science of the Austrian Academy of Sciences, and in 2019, he was elected as a Fellow of the Regional Science Association.

Michael Batty University College London, UK

https://www.ucl.ac.uk/bartlett/casa/prof-michael-batty

https://www.ucl.ac.uk/bartlett/casa/prof-michael-batty


Invited Speakers

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The Scales of Human MobilityThere is a paradox at the heart of our current understanding of human mobility. On one hand, a highly influential stream of literature driven by analyses of massive empirical data found that human movements show no evidence of characteristic spatial scales, and describe human mobility as scale-free. On the other hand, in geography, the concept of scale, referring to meaningful levels of description from individual buildings through neighborhoods, cities, regions, and countries, is central for the description of various aspects of human behaviour such as socio-economic interactions, political and cultural dynamics. In this talk, I will present how we solved this apparent contradiction and showed that human mobility indeed contains meaningful scales, corresponding to spatial containers restricting mobility behavior. The scale-free results arise from aggregating displacements across containers. I will present a simple model, which given a person’s trajectory, infers their neighborhoods, cities, and so on, as well as the sizes of these geographical containers. I will show that our description dramatically improves on the state-of-the-art in modeling, and allows us to better understand effects due to socio-demographic differences and the built environment.

Laura Alessandretti is a Postdoctoral Researcher at the Copenhagen Centre for Social Data Science at the University of Copenhagen. She studies aspects of human behavior and cognition, with a focus on Human Mobility and Human/Smartphones interactions, through the analysis of longitudinal digital traces, using network science methods, as well as mathematical and computational modelling. Her current research includes the study of exploration-exploitation trade-offs in human mobility (Nature Human Behaviour 2.7 (2018): 485-491.), the interplay between mobility behaviour and smartphone usage, and dynamics of competition and consensus in blockchain-based ecosystems (Royal Society open science 4.11 (2017): 170623.). Laura holds a PhD in Applied Mathematics from City, University of London and a Master's in Physics of Complex Systems from École normale supérieure de Lyon. She previously held a postdoctoral position at the Department of Mathematics and Computer Science at the Technical University of Denmark and is a former elected member of the Young Researchers of the Complex Systems Society advisory board.

Laura Alessandretti Copenhagen Center for Social

Data Science, Denmark @lau_retti


Invited Speakers

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Making the Case for a Perfectly Imperfect WorldThe central goal of my research on collective behavior is to understand how systems can exhibit behavioral homogeneity even though the systems themselves are not homogeneous at all. Think of heart cells beating together, a power grid operating in sync, agents trying to reach consensus, and so on. It is widely held that individual entities in such systems are more likely to exhibit the same behavior if they are equal or similar. Our recent research shows that this assumption is generally false when the entities interact with each other. In this talk, I will discuss scenarios in which interacting entities can keep pace with each other only when they are suitably different, and thus the observed behavior is homogeneous only when the system itself is not. This exposes situations in physical and biological systems in which consensus, coherence, or synchronization is observed because of – not despite – differences. Since individual differences are ubiquitous and often unavoidable in real systems, such “imperfections” can be an unexpected source of behavioral homogeneity, epitomizing the notion that imperfections can make things perfect.

Adilson E. Motter is a Chair Professor of Physics at Northwestern University. Prior to joining the Northwestern faculty in March 2006, he held positions as Guest Scientist at the Max Planck Institute for the Physics of Complex Systems and as Director's Funded Postdoctoral Fellow at the Center for Nonlinear Studies at Los Alamos National Laboratory. Awards received by Prof. Motter include the Sloan Research Fellowship, the NSF CAREER Award, the Erdős-Rényi Prize in Network Science, and the Simons Foundation Fellowship in Theoretical Physics. He is a Fellow of the American Physical Society (APS) and of the American Association for the Advancement of Science (AAAS). He is also a member of the Science Board of the Santa Fe Institute and serves in the Editorial Board of Physical Review X, among other journals. He is a former Chair of the APS Topical Group on Statistical & Nonlinear Physics (GSNP) and is the current Vice President and Secretary of the Network Science Society. Prof. Motter's research is focused on the dynamical behavior of complex systems and networks and is inherently interdisciplinary, cutting across physics, mathematics, engineering, and life sciences.

Adilson Motter Northwestern University, USA

@adilson_motter


Invited Speakers

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High-Resolution Social NetworksDigital technologies provide the opportunity to quantify human behaviors with unprecedented levels of detail and coverage. Personal electronic devices, wearable sensors and instrumented environments will be increasingly used to study the network structure of human mobility and interactions in environments relevant for computational social science, public health and infectious disease dynamics. In this talk, I will review the experience of the SocioPatterns collaboration, an ongoing, decade-long international effort on studying high-resolution human and animal social networks using wearable proximity sensors. I will cover recent advances in data collection, focusing on important settings such as schools and households in low-resource, rural environments, and on recent work on animal social networks. I will discuss the network structures observed in empirical temporal network data, reflect on challenges such as generalization and data incompleteness, and review modeling approaches based on ideas from network science and machine learning.

Dr Ciro Cattuto is an Associate Professor in the Computer Science Department of the University of Torino and a Research co-Director of ISI Foundation. His research interests include data science, network science, computational social science, public health. He holds a PhD in Physics from the University of Perugia, Italy and has carried out interdisciplinary work at the University of Michigan, USA, at the Enrico Fermi Center and Sapienza University in Rome, and at the Frontier Research System of RIKEN, Japan. He is a founder and principal investigator of the SocioPatterns project, a decade-long international collaboration on studying human and animal social networks with wearable sensors. He is an editorial board member of Nature Scientific Data, EPJ Data Science, PeerJ CS, Journal of Computational Social Science, Data & Policy journals. He was organizer and chair of leading conferences in Computer Science, Data Science and Complex Systems. He is a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS). He is deeply interested in the social impact of data science and artificial intelligence, and he was designated by the European Foundation Centre to join the Strategic Planning Committee of CRT Foundation, a leading European philanthropy.

Ciro Catuto

ISI Foundation, Italy @ciro


Invited Speakers

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Network Reconstruction From Indirect ObservationsThe observed functional behavior of a wide variety of large-scale systems is often the result of a network of pairwise interactions. However, in many cases, these interactions are hidden from us, either because they are impossible or very costly to be measured directly, or, in the best case, are measured with some degree of uncertainty. In such situations, we are required to infer the network of interactions from indirect information. In this talk, I present a scalable Bayesian method to perform network reconstruction from indirect data, including noisy measurements and observed network dynamics. This kind of approach allows us to convey in a principled manner the uncertainty present in the measurement, and combined with versatile modelling assumptions can yield good results even when data are scarce. In particular, I describe how the reconstruction approach can be combined with community detection, allowing us to tap into multiple sources of evidence available for the task. We show how this combined approach provides a twofold improvement, by increasing not only the reconstruction accuracy but also the identification of communities in networks. The latter improvement is possible even in situations where at first we might imagine that reconstruction is superfluous, for example when direct network data are available and measurement errors can be neglected.

Tiago P. Peixoto is Associate Professor at the Department of Network and Data Science at the Central European University in Budapest, and researcher at the ISI Foundation, Turin. He obtained his PhD in Physics at the University of São Paulo, and his Habilitation in Theoretical Physics at the University of Bremen. He was a Humboldt Foundation Fellow, and the recipient of the Erdős-Rényi Prize in Network Science. His research focuses on characterizing, identifying and explaining large-scale patterns found in the structure and function of complex network systems — representing diverse phenomena with physical, biological, technological, or social origins — using principled approaches from statistical physics, nonlinear dynamics and Bayesian inference.

Tiago Peixoto

Central European University, Hungary

@tiagopeixoto


Invited Speakers

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What Network Science Can Say About the Imminent COVID-19 PandemicThe novel coronavirus SARS-CoV-2 is currently developing from a national epidemic into an event of international and global scale. During the early phase of the epidemic, when case counts were high in Hubei province in China and low elsewhere, one of the key epidemiological questions was to what extent other parts of the world were at risk of importing cases and when first case counts are expected to occur. Especially during the onset of an epidemic, little is known about epidemiological parameters of the emergent virus and the initial situation is difficult to assess. Therefore dynamical models are often unreliable because essential ingredients, initial conditions and parameter values, are missing. I will discuss how general network scientific principles and properties of the worldwide air-transportation network can be used to compute relative import risks at various locations and multiple scales. Predictions made by this approach are consistent with arrival time statistics and case counts in currently more than 20 affected countries. Furthermore, I will explain why the dynamics of the epidemic in China unfolded in an unusual way and will provide an explanation for it.

Dirk Brockmann is a Professor at the Institute for Biology at Humboldt University of Berlin and the Robert Koch Institute, Berlin. He is known for his work in complex systems, complex networks, computational epidemiology, human mobility and anomalous diffusion. He studied physics and mathematics at Duke University and the University of Göttingen where he received his degree in theoretical physics in 1995 and his PhD in 2003. After postdoctoral positions at the Max Planck Institute for Dynamics and Self-Organization, Göttingen, he became Associate Professor in the Department of Engineering Sciences and Applied Mathematics at Northwestern University in 2008. In 2013, he became Professor at the Institute for Biology at Humboldt University of Berlin. Brockmann worked on a variety of topics ranging from computational neuroscience, anomalous diffusion, Levy flights, human mobility, computational epidemiology, and complex networks.

Dirk Brockmann

Humboldt University, Germany @dirkbrockmann


Schedule March 31

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09:00 Conference Opening

09:20 INVITED TALK Topological Data Analysis for Investigating Dynamics on and of Biological Networks Heather Harrington Chair: TBD

Session: Biology & Medical Applications Chair: Diego Pinheiro

10:10 Geometric Renormalization Unravels Self-Similarity of the Multiscale Human Connectome Muhua Zheng, Antoine Allard, Patric Hagmann, Yasser Alemán-Gómez, and M. Ángeles Serrano

10:30 The Role of Modularity in the Formation of Macroscopic Patterns on Functional Biological Networks Bram Siebert, Malbor Asllani, Cameron Hall and James Gleeson

10:50 The Entropic Origin of Nestedness in Mutualistic Ecosystems Clàudia Payrató-Borràs, Laura Hernandez and Yamir Moreno

11:10 Coffee Break

Session: Biology & Medical Applications Chair: Yamir Moreno

11:40 Network-Based Approach for Modeling and Analyzing Coronary Angiography Babak Ravandi and Arash Ravandi

12:00 Network-Based Delineation of Health Service Areas: a Comparative Analysis of Community Detection Algorithms Diego Pinheiro, Ryan Hartman, Erick Romero, Ronaldo Menezes and Martin Cadeiras

12:30 Lunch

13:50 INVITED TALK Diversity and Social Evolution: Theoretical and Experimental Approaches Hiroki Sayama Chair: Giuseppe Mangioni


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Session: Dynamics on and of Networks Chair: Christian Bick

14:40 A Motif-Based Approach to Processes on Networks: Process Motifs for the Differential Entropy of the Ornstein--Uhlenbeck Process Alice C. Schwarze, Jonny Wray and Mason A. Porter

15:00 Structural Invertibility and Optimal Sensor Node Placement for Error and Input Reconstruction in Dynamic Systems Dominik Kahl, Philipp Wendland, Andreas Weber and Maik Kschischo

15:20 Causation in Network Dynamics: a Closed Form for the Reconstruction of the Jacobian Matrix From Timeseries Thilo Gross

15:40 Contact-Based Model for Epidemic Spreading on Temporal Networks Philipp Hoevel, Andreas Koher, Hartmut Lentz and James Gleeson

16:00 Towards a Data-Driven Characterization of Behavioral Changes Induced by the Seasonal Flu Nicolò Gozzi, Daniela Paolotti, Daniela Perrotta and Nicola Perra

16:20 Coffee Break

16:50 INVITED TALK Biodiversity and Structural Stability of Multilayer Ecological Networks Yamir Moreno Chair: Clara Granell

Session: Structure and Dynamics Chair: Thilo Gross

17:40 DyANE: Dynamics-Aware Node Embedding For Temporal Networks Alain Barrat, Ciro Cattuto, Mizuki Oka And Koya Sato

18:00 Finding Influential Nodes in Modular Networks Zakariya Ghalmane, Stephany Rajeh, Chantal Cherifi, Hocine Cherifi and Mohammed El Hassouni

18:20 Utilizing Complex Networks With Error Bars Istvan Kovacs

18:40 Unsupervised Strategies to Network Topology Reconfiguration Optimization With Limited Link Addition William Paiva, Paulo Martins and Andre Franceschi De Angelis

19:00 Welcome Cocktail


Schedule April 1

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08:50 Day Opening

09:00 INVITED TALK The Dynamics of Friendship in the Offline and Online Worlds Robin Dunbar Chair: Ronaldo Menezes

Session: Social Sciences - Theory and Applications Chair: Marcos Oliveira

09:50 Modelling Social-Networks Evolution Via The Adjacent-Possible Exploration Enrico Ubaldi, Raffaella Burioni, Francesca Tria And Vittorio Loreto

10:10 Efficient Team Structures in an Open-Ended Cooperative Creativity Experiment Bernardo Monechi, Giulia Pullano and Vittorio Loreto

10:30 Animal Social Networks – an Introduction for Complex Systems Scientists Josefine Bohr Brask and Darren Croft

10:50 Characterizing the Dynamics of Academic Affiliations: a Network Science Approach Josemar Faustino, Nandini Iyer, Juan Mendoza and Ronaldo Menezes

11:10 Coffee Break

11:40 INVITED TALK Using Social Network Analyses To Understand the Evolution of Hunter-Gatherers’ Complex Andrea Miggliano Chair: Stephen Uzzo

12:30 Lunch

13:50 INVITED TALK Studying the Interplay Between Epidemic Dynamics and Human Behavior Based on Risk Perception Clara Granell Chair: Alain Barrat


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Session: Social Sciences - Theory and Applications Chair: Diogo Pacheco

14:40 Mixing Dynamics and Group Imbalance Lead to Degree Inequality in Face-To-Face Interaction Marcos Oliveira, Fariba Karimi, Maria Zens, Johann Schaible, Mathieu Genois and Markus Strohmaier

15:00 Diversity Analysis Exposes Unexpected Key Roles in Multiplex Crime Networks Alex Sander De Oliveira Toledo, Laura C Carpi and Allbens Atman Picard Farias

15:20 Demographic Analysis of Music Preferences in Streaming Service Networks Lidija Jovanovska, Bojan Evkoski, Miroslav Mirchev and Igor Mishkovski

15:40 Policy-Relevant Science: the Depth and Breadth of Support Networks Bruce Desmarais and John Hird

16:00 Benchmarking Seeding Strategies for Spreading Processes in Social Networks: an Interplay Between Influencers, Topologies and Sizes Felipe Montes, Ana Maria Jaramillo, Jose Meisel, Albert Diaz-Guilera, Juan Valdivia, Olga L. Sarmiento and Roberto Zarama

16:20 Coffee Break

16:50 Session: Lightning Talks 1 Chair: TBD

18:30 Poster (With Cocktail - Sponsored by Adarga)


Schedule April 2

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08:50 Day Opening

09:00 INVITED TALK The Pulse of the City Michael Batty Chair: Hugo Barbosa

Session: Mobility and Urban Systems Chair: Laura Alessandretti

09:50 The Role of Geography in the Complex Diffusion of Innovations Balazs Lengyel, Riccardo Di Clemente, Janos Kertesz and Marta C. Gonzalez

10:10 Optimisation of Signal Timings in a Road Network Samadhi Nallaperuma, Shahin Jalili, Edward Keedwell, Alex Dawn and Laurence Oakes-Ash

10:30 Field Theory for Recurrent Mobility Mattia Mazzoli, Alex Molas, Aleix Bassolas, Maxime Lenormand, Pere Colet and Jose Javier Ramasco

10:50 Coffee Break

Session: Mobility And Urban Systems Chair: Riccardo Di Clemente

11:20 Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein’s Laws of Migration Mariana Macedo, Laura Lotero, Alessio Cardillo, Hugo Barbosa and Ronaldo Menezes

11:40 Comparative Analysis of Store Opening Strategy Based on Movement Behavior Model Over Urban Street Networks Takayasu Fushimi and Masaya Yazaki

12:00 Hierarchical Organization of Urban Mobility and its Connection With City Livability Aleix Bassolas, Riccardo Gallotti and Jose J. Ramasco

12:20 Lunch

13:40 INVITED TALK the Scales of Human Mobility Laura Alessandretti Chair: Nicola Perra


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14:30 Session: Lightning Talks 2 Chair: TBD

16:10 Coffee Break

16:40 INVITED TALK Making the Case for a Perfectly Imperfect World Adilson Motter Chair: Jose Mendes

Session: Multilayer Networks Chair: Alessio Cardillo

17:30 Targetted Damage to Interdependent Networks Gareth Baxter, Gabor Timar and Jose Fernando Mendes

17:50 Similarity Analysis in Multilayer Temporal Food Trade Network Natalia Meshcheryakova

18:10 Fragility and Anomalous Susceptibility of Weakly Interacting Networks Giacomo Rapisardi, Alex Arenas, Guido Caldarelli and Giulio Cimini

19:00 Conference Dinner at Reed Hall Awards Ceremony


Schedule April 3

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08:50 Day Opening

09:00 INVITED TALK High-Resolution Social Networks Ciro Catuto Chair: TBD

Session: Structure Chair: Tiago Peixoto

09:50 Exact Rank--Reduction of Network Models Alex Arenas and Eugenio Valdano

10:10 Nestedness or Nested Mess? Revising Different Nestedness Measuresand the Role of the Degree Sequence Matteo Bruno, Fabio Saracco, Diego Garlaschelli, Claudio Tessone and Guido Caldarelli

10:30 The Pólya Filter: a Parametric Approach to Backbone Extraction in Complex Weighted Networks Riccardo Marcaccioli and Giacomo Livan

10:50 Coffee Break

Session: Structure From Dynamics Chair: Alex Arenas

11:20 Learning on Graphs With Diffusion Also Structure Alexis Arnaudon, Robert Peach and Mauricio Barahona

11:40 Embedding Multilayer Networks Using SIR Dynamics Lucas G. S. Jeub, Laetitia Gauvin and Yamir Moreno

12:00 Reconstructing the History of Growing Trees Gábor Timár, Rui Costa, Sergey Dorogovtsev and José Mendes

12:20 Lunch

13:40 INVITED TALK Network Reconstruction From Indirect Observations Tiago Peixoto Chair: TBD


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Session: Economy and Industrial Applications Chair: Ed Keedwell

14:30 A Network Analysis Of Bitcoin Transactions Nicolò Vallarano, Alexandre Bovet, Carlo Campajola, Francesco Mottes, Valerio Restocchi, Tiziano Squartini And Claudio J. Tessone

14:50 Transactional Compatible Representations for High Value Clients Irene Unceta, Jordi Nin and Oriol Pujol

15:10 Systemic Risk in Financial Networks - Approximation From Node Properties and Optimization by Network Structure Hrvoje Stefancic, Sebastian M. Krause, Vinko Zlatic and Guido Caldarelli

15:30 Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends Niklas Stoehr, Fabian Braesemann and Shi Zhou

15:50 Technological Interdependencies Predict Innovation Dynamics Anton Pichler, Francois Lafond and Doyne Farmer

16:10 Coffee Break

16:40 INVITED TALK What Network Science Can Say About the Imminent COVID-19 Pandemic Dirk Brockmann Chair: TBD

Session: Structure Chair: TBD

17:30 The Microstructure of the Giant Component in Configuration Model Networks and its Applications Eytan Katzav, Ofer Biham and Reimer Kuehn

17:50 Asymmetric Node Similarity Embedding for Directed Graphs Stefan Dernbach and Don Towsley

18:10 Condensed Graphs: a Generic Framework for Accelerating Subgraph Census Computation Miguel Martins and Pedro Ribeiro

18:30 Conference Closing


Lightning Talks Session 1: April 1

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16:50 Analyzing the European Research Collaboration Network After BREXIT Francisco Bauza, David Iñiguez, Alfonso Tarancon and Jesus Gomez-Gardenes

17:00 The Lightning Network: Another Path to Centralisation in Bitcoin Jianhong Lin, Kevin Primicerio, Tiziano Squartini, Christian Decker and Claudio J. Tessone

17:10 Data-Driven Strategies for Optimal Bicycle Network Growth Luis Natera Orozco, Federico Battiston, Gerardo Iniguez and Michael Szell

17:20 Dynamic Network of United States Air Transportation at Multiple Levels Batyr Charyyev, Mustafa Solmaz and Mehmet Gunes

17:30 Diverging Spatiotemporal Disease Propagation due to Difference in the Incubation Period: Case Study of Cholera and Ebola Outbreaks in Sierra Leone Rebecca Kahn, Corey Peak, Juan Fernandez-Gracia, Marcia C Castro and Caroline Buckee

17:40 Graph Expansions To Capture Relevant Context For Fraud Detection Maria Silva, David Aparício, João Ascensão And Pedro Bizarro

17:50 Mobility Definition and Resolution Needed To Inform Predictive Epidemic Models for Spatial Transmission From Mobile Phone Data Giulia Pullano, Stefania Rubrichi and Vittoria Colizza

18:00 Tipping Point in Evolutionary Games on Networks Triggered by Zealots Alessio Cardillo and Naoki Masuda


Lightning Talks Session 2: April 2

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14:30 Boolean Threshold Networks as Models of Genotype-Phenotype Maps Chico Camargo and Ard Louis

14:40 The Spreading of Computer Viruses on Time-Varying Networks Nicola Perra

14:50 Node Classification With Bounded Error Rates Pivithuru Wijegunawardana, Ralucca Gera and Sucheta Soundarajan

15:00 Power of Nodes Based on Their Interdependence Sergey Shvydun

15:10 Identifying Strategic Molecules in Large Chemical Reaction Networks Jana Marie Weber, Pietro Liò and Alexei A. Lapkin

15:20 Observability, Controllability, and Observer Design for Nonlinear Networks Christophe Letellier and Irene Sendiña-Nadal

15:30 Connecting Neural Reconstruction Integrity (NRI) to Graph Metrics and Biological Priors Elizabeth Reilly, Erik Johnson, Marisa Hughes, Devin Ramsden, Laurent Park, Brock Wester and William Gray Roncal

15:40 Marine Prokaryote-Eukaryote Interactions: a Multilayer Network Approach Somaye Sheykhali, Juan Fernández-Gracia, Carlos M. Duarte and Víctor M. Eguíluz


Posters April 1

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1 Consistent Recovery of Communities From Sparse Multi-Relational Networks: a Scalable Algorithm With Optimal Recovery Conditions Sharmodeep Bhattacharyya and Shirshendu Chatterjee

2 Collective Decision-Making On Triadic Graphs Ilja Rausch, Yara Khaluf And Pieter Simoens

3 Finding the Worldwide Industrial Transfer Pattern Under the Perspective of Econophysics Lizhi Xing and Yujie Li

4 A Complex Network Approach to Structural Inequality of Educational Deprivation in a Latin American country Harvey Sanchez-Restrepo

5 Reconstruction Of Demand Shocks in Input-Output Networks Chengyuan Han, Johannes Többen, Wilhelm Kuckshinrichs, Malte Schröder And Dirk Witthaut

6 Group Cohesion Assessment in Networks Vincenza Carchiolo, Marco Grassia, Giuseppe Mangioni, Alessandro Longheu And Michele Malgeri

7 Twitter Watch: Leveraging Social Media To Monitor and Predict Collective-Efficacy of Neighborhoods Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher Browning, Catherine Calder and Srinivasan Parthasarathy

8 Subsystem Organization and Processes on Complex Networks - Case Brain Network Vesa Kuikka

9 Assessment of the Effectiveness of Random and Real-Networks Based on the Asymptotic Entropy Raihana Mokhlissi, Dounia Lotfi, Joyati Debnath and Mohamed El Marraki

10 Zealotry and Influence Maximization in the Voter Model: When to Target Zealots? Guillermo Romero Moreno, Long Tran-Thanh and Markus Brede

11 Communities of Human Migration in Social Media: an Experiment in Social Sensing Firas Aswad, Harith Hamoodat, Eraldo Ribeiro and Ronaldo Menezes

12 A Longitudinal Analysis of Vocabulary Changes in Social Media Harith Hamoodat, Firas Aswad, Eraldo Ribeiro and Ronaldo Menezes

13 Relationship Between Ideology and Language in the Catalan Independence Context Julia Atienza-Barthelemy, Samuel Martin-Gutierrez, Juan Carlos Losada and Rosa M. Benito

14 Learning From Emergent Behaviour in Networks To Design Non-Peaky Low-Voltage Electricity Networks Anush Poghosyan, Nick McCullen and Sukumar Natarajan

15 The Topology of International Trade: Comparing Network-Based and Econometric Approaches Marzio Di Vece, Tiziano Squartini and Diego Garlaschelli

16 A Novel Theoretical Framework to Account for Heterogeneous Infectious Periods in an SIS Epidemic Model Laura Di Domenico, Eugenio Valdano and Vittoria Colizza

17 Voter Model on Networks Segregated Into Two Cliques Michael Gastner and Kota Ishida

18 Maximum-Entropy Temporal Networks: Disentangling the Role of Static and Dynamic Node Heterogeneity Giulio Virginio Clemente, Claudio J. Tessone, Guido Caldarelli and Diego Garlaschelli

19 Competing Local and Global Interactions in Social Dynamics: How Important Is the Friendship Network? Arkadiusz Jędrzejewski, Bartłomiej Nowak, Angelika Abriamiuk and Katarzyna Sznajd-Weron

20 A Scale-Invariant Random Graph Model For Network Renormalization Margherita Lalli, Elena Garuccio And Diego Garlaschelli

21 Topological Features of a Thread-Viewing Network in the Dark Web Bruno Requião da Cunha, Pádraig MacCarron, Jean Fernando Passold, Luiz Walmocyr Dos Santos Júnior, Kleber Andrade Oliveira and James Gleeson

22 Modelling Leadership Dynamics With Coevolutionary Networks John Bryden, Eric Silverman and Simon T. Powers

23 Graph Classification: Deep Learning or Feature Extraction? Robert Peach, Alexis Arnaudon, Henry Palasciano, Hossein Abbas and Mauricio Barahona

24 Shock Propagation Along The International Macronutrient Network Marco Grassia, Giuseppe Mangioni, Stefano Schiavo And Silvio Traverso

25 Maxmin-Ω: a New Threshold Model Based on Tropical Mathematics Ebrahim Patel

26 What Is Going on Brazil? A Political Tale From Tweets Diogo Pacheco, Alessandro Flammini and Filippo Menczer

27 Non-Linear Network Dynamics With Consensus-Dissensus Bifurcations Karel Devriendt and Renaud Lambiotte

28 Inferring the Network Degree Distribution From Complexity Measures Alejandro Tlaie, Luis Ballesteros-Esteban, Inmaculada Leyva, Ricardo Sevilla-Escoboza, Victor Vera-Avila and Irene Sendiña-Nadal


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29 Anomalous Events in the Scientific Migration Network Robert Eyre and Filippo Simini

30 The Emergence of Segregation Driven by Mobility and Homophily Sandro Sousa and Vincenzo Nicosia

31 Developing the Knowledge Economy: an Investigation Into the Formation and Evolution of Research Hubs John Fitzgerald, Peter Grindrod, Rachel Herbert and Neave O'Clery

32 Deep Learning of Dynamics on Complex Networks Charles Murphy, Edward Laurence and Antoine Allard

33 Multivariate Information in Random Boolean Networks Sebastián Orellana And Andrés Moreira

34 Resilience of Networks to Cascades as a Function of Node Behaviour Oliver Smith, Reuben O'Dea, Etienne Farcot, John Crowe and Keith Hopcraft

35 Systemic Stress Test Model for Networks of Financial Institutions Irena Vodenska, Nima Dehmamy, Alexander Becker, Sergey Buldyrev, Shlomo Havlin and Gene Stanley

36 Generative Models of Spatial Networks With Block Structure Rodrigo Leal-Cervantes, Renaud Lambiotte and Takaaki Aoki

37 Studying the Spatial and Topological Distribution of Graffiti Types in a City Eric K. Tokuda, Henrique F. De Arruda, Cesar H. Comin, Roberto M. Cesar-Jr., Claudio T. Silva and Luciano Da F. Costa

38 Collaboration and Innovation in an International Science and Engineering Competition Marc Santolini, Leo Blondel, Abhijeet Krishna, Emma Barme, Megan Palmer and Albert-Laszlo Barabasi

39 The Distribution of Shortest Path Lengths in Configuration Model Networks and Other Random Networks Ofer Biham, Eytan Katzav and Reimer Kuhn

40 Impacts of Graphs Perturbations on the Synchronizability of Directed Networks: Structural Genericity Results Camille Poignard, Jan Philipp Pade and Tiago Pereira

41 Nonlinear Symbolic Observability of Dynamical Networks: the DyNetObs Code Irene Sendiña-Nadal and Christophe Letellier

42 Investigating the Temporal Evolution of Lagrangian Structures in Turbulent Flows Christiane Schneide, Kathrin Padberg-Gehle and Jörg Schumacher

43 Bridging the Floating Gap: How News Events Build Networks of Collective Memory on Wikipedia Patrick Gildersleve, Taha Yasseri and Renaud Lambiotte


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44 Socio-Political Network Dynamics Underlying Political Shifts: a Study of the 2016 US Election John Bryden and Eric Silverman

45 Self Organized Emergence of Modular Structures in Adaptive Dynamical Networks Serhiy Yanchuk

46 What Window Works? The Effect of Varying Temporal Depth When Analysing Social Network User Interactions Naomi A. Arnold, Benjamin Steer, Hugo A. Parada G., Javier Andion, Felix Cuadrado, Raul J. Mondragon and Richard G. Clegg

47 Inferring Default Cascades In Financial Systems Irena Barjašić, Hrvoje Stefancic And Vinko Zlatic

48 Inside the Echo Chamber: Disentangling Network Dynamics From Polarization Duilio Balsamo, Valeria Gelardi, Chengyuan Han, Daniele Rama, Abhishek Samantray, Claudia Zucca and Michele Starnini

49 Long Memory Motifs Persistence in Market Structure Dynamics Jeremy Turiel and Tomaso Aste

50 Learning (Sub-)Optimal Percolation With Network Dismantling Marco Grassia, Manlio De Domenico and Giuseppe Mangioni

51 The Role of Network Topology and Time Scale in Asymmetrically Interacting Diseases Paulo Cesar Ventura, Yamir Moreno and Francisco A. Rodrigues

52 Kinship Networks and Social Care Provision: an Agent-Based Model Umberto Gostoli and Eric Silverman

53 Temporal Dynamics of Information Spread in the Context of Refugee Migration Zahra Jafari and Toby Davies

54 The Impact of Technology Intervention on the Sustainable Development Goals Magdalena Klemun, Sanna Ojanperä and Amy Schweikert

55 Changing the Tune: Mixtures of Network Models That Vary in Time Naomi Arnold, Raul Mondragon and Richard Clegg

56 Exponential Random Graph Models and the Structure of Social Networks Diego Escribano Gómez, Ignacio Tamarit Ramírez and Jose Antonio Cuesta Ruiz

57 Multi-Layer Network Dynamics in Railway Systems Mark Dekker and Deb Panja

58 Wealth Distribution for Agents With Spending Propensity, Interacting Over a Network Víctor Muñoz


General Information WiFi

Our campus is part of the World Wide Education Roaming for Research and Education (eduroam). This means that you should be able to connect to this network if your home institution is also part of the same network; just choose eduroam and you should connect automatically. eduroam is a wireless network service which enables users at participating organisations to access the wireless at other institutions using their home institution's credentials. More information on the eduroam service can be found at eduroam.org

For those not part of eduroam, we suggest you connect to the university guest network (UoE_Guest). The UoE_Guest network provides a convenient way for University guests to access WiFi. You will need to provide a name and e-mail address, you will then be sent an e-mail to confirm your guest registration, once confirmed you will have access for 24 hours. To connect:

• Select UoE_Guest from the list of available networks and connect. • Once you have connected to UoE_Guest, depending on your device, you may be automatically

redirected to the login page. If you are not automatically redirected, open a web browser and navigate to any external web page. You should now be directed to the UoE_Guest login page.

• Fill in your name and email address. You must also read the terms of use, and then tick the box to confirm you have read and accepted them. Alternatively, if you have a Facebook or Google+ account, you can login using your social network details by clicking the appropriate button below the registration form.

• Once you have completed the registration form and clicked “Register” you will be directed to a confirmation page which confirms the details you have supplied and your account activation and expiry time. If all the details are correct, click “Log In”. You will now be given a 10 minute grace period in which to complete the rest of the registration process.

• Once you have clicked “Log In” in the previous step, an email will be sent to the email address you supplied. The 10 minute grace period will allow you access to the internet in order to access your emails. The email includes a link which you will need to click in order to confirm your registration.

• Clicking the link will direct you to a web page where you can confirm or reject the registration. Click “Confirm”.

• Once you have clicked “Confirm” you will see the confirmation page, you are now registered and have access for 24 hours.

• You’ll have to do this process every 24 hours.

Emergencies In cases of serious or imminent danger, contact the police on (9)999 and also rig the Estate Patrol security team on their emergency number using extension 2222, or +44 1392 722222. For non-emergency security matters contact the Estate Patrol using the extension 3999 or +44 1392 723999.

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http://eduroam.org


For more information regarding emergency information in the University of Exeter, please visit the Emergency Information page at: https://www.exeter.ac.uk/staff/wellbeing/safety/emergencyinformationforstaff/

For information regarding first aid please visit the page below: https://www.exeter.ac.uk/staff/wellbeing/safety/safetyguidance/firstaid/

Campus Map The University map is updated regularly. You can find the main map using the link: https://www.exeter.ac.uk/visit/directions/streathammap/

More specifically we are located on Area A whose map is located here: https://www.exeter.ac.uk/visit/directions/streathammap/areaamap/

The Xfi Building is number 30 on the map. All the activities will take place in this building with the exception of the banquet which will take place at Reed Hall (building 14) in the maps above.

Eat and Shop Your registration includes all the coffee breaks and lunches for the 4 days of the event as well as 2 cocktail receptions (March 31 and April 1). All registration types with the exception of student registrations, also include access to the banquet (April 2). Your badge is your ticket to all events so please wear your badge at all times. Extra tickets for the banquet can be bought from the registration desk. If you already purchased extra tickets you will be given a banquet ticket as part of the registration process, if you did not receive this ticket please see the registration desk.

Although we will provide all lunches, if you prefer to go to another location, there are restaurants and cafes in many locations on Campus. In particular, you should visit the Forum (building 3) on the map where you have a variety of options. Reed hall (building 14) also has a restaurant and cafe that is open during the day. The Building One (adjacent to Xfi) includes the La Touche Cafe. For more complete information about places to eat and shop on campus, please visit the page below: http://www.exeter.ac.uk/campusservices/eatandshop/

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https://www.exeter.ac.uk/staff/wellbeing/safety/emergencyinformationforstaff/

https://www.exeter.ac.uk/staff/wellbeing/safety/safetyguidance/firstaid/

https://www.exeter.ac.uk/visit/directions/streathammap/

https://www.exeter.ac.uk/visit/directions/streathammap/areaamap/

https://www.exeter.ac.uk/visit/directions/streathammap/areaamap/

http://www.exeter.ac.uk/campusservices/eatandshop/

march 31 - april 3, 2020 exeter, uk @complenet #complenet20 … · 2020-03-04 · eugenio valdano,...

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