21:36, 3 февраля 2014
Физики объяснили лавинообразную популярность мемов в социальных сетях
Heavy-tailed distributions of meme popularity occur naturally in a model of meme diffusion on social networks. Competition between multiple memes for the limited resource of user attention is identified as the mechanism that poises the system at criticality. The popularity growth of each meme is described by a critical branching process, and asymptotic analysis predicts power-law distributions of popularity with very heavy tails (exponent α<2, unlike preferential-attachment models), similar to those seen in empirical data.
Схема распространения голубого и красного мема в модели
Schematic of the model. Time runs horizontally and nodes of the network are listed vertically; the screen color of each node indicates the meme it currently holds. At time t1, node 1 retweets (RT) the blue meme to its followers (nodes 2 and 3). At time t2, node 1’s screen is overwritten by the red meme, which was tweeted by one of the nodes followed by node 1.
Изображение:James P. Gleeson et al., Phys. Rev. Lett., 2014