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

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.

[1]  Sergey N. Dorogovtsev,et al.  Critical phenomena in complex networks , 2007, ArXiv.

[2]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[3]  Marija Mitrovic,et al.  Quantitative analysis of bloggers’ collective behavior powered by emotions , 2010, ArXiv.

[4]  Ulrik Brandes,et al.  Social Networks , 2013, Handbook of Graph Drawing and Visualization.

[5]  M. Serrano,et al.  Generalized percolation in random directed networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Kathy P. Wheeler,et al.  Reviews of Modern Physics , 2013 .

[7]  Marija Mitrovic,et al.  How the online social networks are used: dialogues-based structure of MySpace , 2012, Journal of The Royal Society Interface.

[8]  Mike Thelwall,et al.  Negative emotions boost user activity at BBC forum , 2010, 1011.5459.

[9]  M. Bradley,et al.  Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings , 1999 .

[10]  Michael Szell,et al.  Multirelational organization of large-scale social networks in an online world , 2010, Proceedings of the National Academy of Sciences.

[11]  Bosiljka Tadic,et al.  Hierarchical sequencing of online social graphs , 2014, ArXiv.

[12]  Marija Mitrović,et al.  Emergence and Structure of Cybercommunities , 2012 .

[13]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[14]  S. Fortunato,et al.  Statistical physics of social dynamics , 2007, 0710.3256.

[15]  Sergio Gómez,et al.  Size reduction of complex networks preserving modularity , 2007, ArXiv.

[16]  Marija Mitrović,et al.  structure of MySpace How the online social networks are used: dialogues-based , 2012 .

[17]  A. Barabasi,et al.  Percolation in directed scale-free networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Michael Szell,et al.  Measuring social dynamics in a massive multiplayer online game , 2009, Soc. Networks.

[19]  J. Herskowitz,et al.  Proceedings of the National Academy of Sciences, USA , 1996, Current Biology.

[20]  Neelima Gupte,et al.  Transmission of packets on a hierarchical network: Statistics and explosive percolation , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.