University Of Tehran Networked Systems Engineering

University Of Tehran Networked Systems Engineering

University Of Tehran Networked Systems Engineering

Our focus is on revealing the types of communities

generated with respect to certain events by analyzing

them in the dimensions of size, topic diversity and time

span.

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Real-World Networks

For experimentation we have generated a network

based on Twitter user interactions, (i.e. mentions,

replies, retweets), extracted from data collected via

the Twitter Streaming API with topic-related

keywords.

Our selected topic refers to the official Euro group meetings (of Euro zone's finance ministers)

Real-World Networks

Our EUROGROUP dataset

(covering 8 meetings from 13/06/12 to 30/11/12) acts

as an exemplary case study of a series of events held

at different time instances, having the same

participants with a common generic context (i.e. the

Euro zone's monetary issues), but different focus

(depending on the agenda). The dataset spans 227

days and comprises: 29529 tweets, 10305 interactions

and 3015 different users.

EUROGROUP meetings, tweets, and communities

Classification of the most significant topics based on interest intensity and diffusion