ENTROPY-GROWTH-BASED MODEL OF EMOTIONALLY CHARGED ONLINE DIALOGUES

Author:

SIENKIEWICZ JULIAN1,SKOWRON MARCIN2,PALTOGLOU GEORGIOS3,HOŁYST JANUSZ A.1

Affiliation:

1. Faculty of Physics, Centre of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, 00-662 Warszawa, Poland

2. Interaction Technologies Group, Austrian Research Institute for Artificial Intelligence, Freyung 6/3/1a, A-1010 Vienna, Austria

3. School of Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, United Kingdom

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Control and Systems Engineering

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