Individual popularity and activity in online social systems

Details Individual popularity and activity in online social systems Individual popularity and activity in online social systems

2009-11-11

arxiv.org/abs/0911.2176v2

Physics

Physics and Society

7 pages, 7 figures, 1 table, accepted for publication in Physica A

Scientific paper

10.1016/j.physa.2009.11.007

We propose a stochastic model of web user behaviors in online social systems, and study the influence of attraction kernel on statistical property of user or item occurrence. Combining the different growth patterns of new entities and attraction patterns of old ones, different heavy-tailed distributions for popularity and activity which have been observed in real life, can be obtained. From a broader perspective, we explore the underlying principle governing the statistical feature of individual popularity and activity in online social systems and point out the potential simple mechanism underlying the complex dynamics of the systems.

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