Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks - Computer Science > Computers and SocietyReportar como inadecuado




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Abstract: Social networks have emerged as a critical factor in informationdissemination, search, marketing, expertise and influence discovery, andpotentially an important tool for mobilizing people. Social media has madesocial networks ubiquitous, and also given researchers access to massivequantities of data for empirical analysis. These data sets offer a rich sourceof evidence for studying dynamics of individual and group behavior, thestructure of networks and global patterns of the flow of information on them.However, in most previous studies, the structure of the underlying networks wasnot directly visible but had to be inferred from the flow of information fromone individual to another. As a result, we do not yet understand dynamics ofinformation spread on networks or how the structure of the network affects it.We address this gap by analyzing data from two popular social news sites.Specifically, we extract social networks of active users on Digg and Twitter,and track how interest in news stories spreads among them. We show that socialnetworks play a crucial role in the spread of information on these sites, andthat network structure affects dynamics of information flow.



Autor: Kristina Lerman, Rumi Ghosh

Fuente: https://arxiv.org/







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