There is Something Beyond the Twitter Network

Pacuk, Andrzej; Sankowski, Piotr; Karol, W; Wygocki, Piotr
How information spreads through a social network? Can we assume, that the information is spread only through a given social network graph? What is the correct way to compare the models of information flow? These are the basic questions we address in this work. We focus on meticulous comparison of various, well-known models of rumor propagation in the social network. We introduce the model incorporating mass media and effects of absent nodes. In this model the information appears spontaneously in the graph. Using the most conservative metric, we showed that the distribution of cascades sizes generated by this model fits the real data much better than the previously considered models.
Research areas:
Year:
2016
Type of Publication:
In Proceedings
Keywords:
cascades size distribution; social network analysis; social networks; twitter
Book title:
HT'16
Pages:
279-284
ISBN:
9781450342476
DOI:
10.1145/2914586.2914623
Hits: 1514

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