Social Phenomena pp 99-116

Part of the Computational Social Sciences book series (CSS) | Cite as

Online Interactions

  • Lilian Weng
  • Filippo Menczer
  • Alessandro Flammini

Abstract

The ubiquitous use of the Internet has led to the emergence of countless social media and social networking platforms, which generate large-scale digital data records of human behaviors online. Here we review the literature on online interactions, focusing on two main themes: social link formation and online communication. The former is often studied in the context of network evolution models and link prediction or recommendation tasks; the latter combines classic social science theories on collective human behaviors with analysis of big data enabled by advanced computation techniques. But the structure of the network, and the flow of information through the network influence each other. We present a case study to illustrate the connections between social link formation and online communication. Analysis of longitudinal micro-blogging data reveals that people tend to follow others after seeing many messages by them. We believe that research on online interactions will benefit from a deeper understanding of the mutual interactions between the dynamics on the network (communication) and the dynamics of the network (evolution).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Lilian Weng
    • 1
  • Filippo Menczer
    • 1
  • Alessandro Flammini
    • 1
  1. 1.Center for Complex Networks and Systems Research, School of Informatics and ComputingIndiana University BloomingtonBloomingtonUSA

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