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Online social networks have become increasingly ubiquitous and understanding their structural, dynamical, and scaling properties not only is of fundamental interest but also has a broad range of applications. Such

Online social networks have become increasingly ubiquitous and understanding their structural, dynamical, and scaling properties not only is of fundamental interest but also has a broad range of applications. Such networks can be extremely dynamic, generated almost instantaneously by, for example, breaking-news items. We investigate a common class of online social networks, the user-user retweeting networks, by analyzing the empirical data collected from Sina Weibo (a massive twitter-like microblogging social network in China) with respect to the topic of the 2011 Japan earthquake.

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    Date Created
    • 2014-11-07
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1371/journal.pone.0111013
    • Identifier Type
      International standard serial number
      Identifier Value
      1045-3830
    • Identifier Type
      International standard serial number
      Identifier Value
      1939-1560

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    Wang L-Z, Huang Z-G, Rong Z-H, Wang X-F, Lai Y-C (2014) Emergence, Evolution and Scaling of Online Social Networks. PLoS ONE 9(11): e111013. http://dx.doi.org/10.1371/journal.pone.0111013

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