Detecting Large Reshare Cascades in Social Networks Karthik Subbian† , B. Aditya Prakash∗ , Lada Adamic† † Facebook Inc. ∗ Department of Computer Science, Virginia Tech. Email: {ksubbian, ladamic}@fb.com; badityap@cs.vt.edu ABSTRACT valuable and there are...
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Detecting Large Reshare Cascades in Social Networks Karthik Subbian† , B. Aditya Prakash∗ , Lada Adamic† † Facebook Inc. ∗ Department of Computer Science, Virginia Tech. Email: {ksubbian, ladamic}@fb.com; badityap@cs.vt.edu ABSTRACT valuable and there are several recent related work that deal Detecting large reshare cascades is an important problem in with controlling or accelerating such cascades in various sce- online social networks. There are a variety of attempts to narios [23, 31]. model this problem, from using time series analysis methods Understanding viral cascades has several challenges. Fore- to stochastic processes. Most of these approaches heavily most, there is lack of knowledge of complete network struc- depend on the underlying network features and use network ture, through which the information propagates [10]. This information to detect the virality of cascades. In most cases, may be due to a variety of reasons. Population networks however, getting such detailed netw
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