Regensburg 2013 – scientific programme
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 19: Social Systems and Group Dynamics
SOE 19.3: Talk
Wednesday, March 13, 2013, 17:30–17:45, H37
Entropy-growth-based model of emotionally charged online dialogues — Julian Sienkiewicz1, Marcin Skowron2, Georgios Paltoglou3, and •Janusz Hołyst1 — 1Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Poland — 2Interaction Technologies Group, Austrian Research Institute for Artificial Intelligence, Austria — 3School of Technology, University of Wolverhampton, United Kingdom
We analyze emotionally annotated massive data from IRC (Internet Relay Chat) and model the dialogues between its 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.