complex networks proposal

13
MY COMPLEX NETWORKS PROJECT

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Page 1: Complex Networks proposal

MY COMPLEX NETWORKS PROJECT

Page 2: Complex Networks proposal

Observation of my friend’s behavior related to food choices

Observation of the summer camp obese teenagers

Why people become fat?

• Genetics

• Money

• Friends

Is it a choice?

What makes people eat what they eat?

Why some people say that they want to lose fat but still having the same habits related to food even knowing about nutrition and knowing that they shouldn’t eat what they are eating?

HOW EVERYTHING STARTED?

Page 3: Complex Networks proposal

NICHOLAS A. CHRISTAKISThe Spread of Obesity in a Large Social Network over 32 Years

Page 4: Complex Networks proposal

If the obesity spreads through network, the same thing can be observed with #fitness and #eatclean behaviors?

Page 5: Complex Networks proposal

• A special attention must be given to the word behavior because the fact of people posting something doesn’t mean that he is doing what he is saying that he is doing.

• I don’t have the body mass measurements of the users of twitter.

Page 6: Complex Networks proposal

WHAT DO I HAVE?

• Tweets with the hashtags #eatclean and #fitness

• Users and followers of the users

• Followers that also posted a tweet with the hashtags #eatclean and #fitness

Page 7: Complex Networks proposal

HOW MUCH DATA DO I HAVE?

Tweets:

522188

!

Users:

79719

Page 8: Complex Networks proposal

DEFINITION OF THE NETWORK: NODES AND RELATIONSHIP(S)

Page 9: Complex Networks proposal

HOW AM I STORING THE DATA?

Page 10: Complex Networks proposal

WHAT ELSE AM I USING?

• Python

• Pymongo

• Tweepy

• Networkx

Page 11: Complex Networks proposal

HOW IT LOOKS LIKE(Sample data)

Page 12: Complex Networks proposal

WHAT CAN I DO?

• Sentiment analysis

• Homophily measurement using sentiment analysis

• Government data about obesity (Geolocalization)

• Geolocalization of the users

Page 13: Complex Networks proposal

RELATED WORKS• Theodore A. Vickey,1 Kathleen Martin Ginis, Maciej Dabrowski. Twitter classification model: the ABC of two million

fitness tweets.

• Morgan R. Frank, Lewis Mitchell, Peter Sheridan Dodds & Christopher M. Danforth. Happiness and the Patterns of Life: A Study of Geolocated Tweets. Scientific Reports. 3: 2625. 2013

• Johan Bollen, Bruno Goncalves, Guangchen Ruan, Huina Mao. Happiness is assortative in online social networks. Artificial Life. Vol. 17, No. 3, Pages 237-251.

• Nicholas A. Christakis, James H. Fowler. The Spread of Obesity in a Large Social Network over 32 Years

• Anna Chmiel, Julian Sienkiewicz, Mike Thelwall, Georgios Paltoglou, Kevan Buckley, Arvid Kappas, Janusz A. Hołyst. Collective Emotions Online and Their Influence on Community Life.

• Bagozzi, Richard P;Dholakia, Utpal M. Intentional social action in virtual communities. Journal of Interactive Marketing; Spring 2002; 16, 2; ABI/INFORM Complete pg. 2

• Yuriy Hulovatyy, Sidney D’Mello, Rafael A. Calvo, and Tijana Milenković. Network analysis improves interpretation of affective physiological data. jcomplexnetw 2014 : cnu032v1-cnu032.

• Apoorv Agarwal Boyi Xie Ilia Vovsha Owen Rambow Rebecca Passonneau. Sentiment Analysis of Twitter Data .Department of Computer Science Columbia University. New York, NY 10027 USA.