Structure and stability of online chat networks built on emotion-carrying links

Vladimir Gligorijević, Marcin Skowron and Bosiljka Tadić

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 3, 538-543

Abstract: High-resolution data of online chats are studied as a physical system in the laboratory in order to quantify collective behavior of users. Our analysis reveals strong regularities characteristic of natural systems with additional features. In particular, we find self-organized dynamics with long-range correlations in user actions and persistent associations among users that have the properties of a social network. Furthermore, the evolution of the graph and its architecture with specific k-core structure are shown to be related with the type and the emotion arousal of exchanged messages. Partitioning of the graph by deletion of the links which carry high arousal messages exhibits critical fluctuations at the percolation threshold.

Keywords: Online social networks; Self-organized dynamics; Percolation on graphs (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:3:p:538-543

DOI: 10.1016/j.physa.2012.10.003

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