ENTROPY-GROWTH-BASED MODEL OF EMOTIONALLY CHARGED ONLINE DIALOGUES

Julian Sienkiewicz (), Marcin Skowron (), Georgios Paltoglou () and Janusz A. Hołyst ()
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Julian Sienkiewicz: Faculty of Physics, Centre of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, 00-662 Warszawa, Poland
Marcin Skowron: Interaction Technologies Group, Austrian Research Institute for Artificial Intelligence, Freyung 6/3/1a, A-1010 Vienna, Austria
Georgios Paltoglou: School of Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, United Kingdom
Janusz A. Hołyst: Faculty of Physics, Centre of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, 00-662 Warszawa, Poland

Advances in Complex Systems (ACS), 2013, vol. 16, issue 04n05, 1-25

Abstract: We analyze emotionally annotated massive data from Internet relay chat (IRC) as well as from BBC forum website and model the dialogues between chat participants by assuming that the driving force for the discussion is the entropy growth of emotional probability distribution. This process is claimed to be responsible for a power-law distribution of the discussion lengths observed in the dialogues. We perform numerical simulations based on the noticed phenomenon obtaining a good agreement with the real data. Finally, we propose a method to artificially prolong the duration of the discussion that relies on the entropy of emotional probability distribution.

Keywords: Correlations; collective phenomena; sociophysics (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219525913500264

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