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OFAI-TR-2012-14 ( 14136kB PDF file)

Evolving Topology on the Network of Online Chats

Vladimir Gligorijevic, Marcin Skowron, Bosiljka Tadic

Large amount of data collected at Web portals contain valuable information to study human behavior in the on-line communications. Recently a powerful methodology was developed to study the emergence of the collective emotional behaviors of Blog users, by combining the methods of statistical physics of complex systems with the machine-learning techniques for text analysis. Mapping the high-resolution data onto a suitable network structure makes a starting point in this approach, on which the quantitative analysis within the graph theory is based. In this work we use network mapping approach to analyse the users collective behaviors in the online chats. Specifically, having in mind character of the dynamics in IRC channels, here we analyse the evolution of the network that emerges via user contacts and in particular, evolving specific topology features on such network over successive time windows.

Keywords: Publications List Interact, Social and Information Networks, Data Analysis, Text Analysis, Online Communication Affective Computing

Citation: Gligorijevic V., Skowron M., Tadic B.: Evolving Topology on the Network of Online Chats. Technical Report, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, TR-2012-14,