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Patterns Of Information Diffusion In Online Social Networks: What Sna Metrics Can Reveal

In: The UCLA Anderson Business and Information Technologies (BIT) Project A Global Study of Technology and Business Practice (2016)

Author

Listed:
  • MINGHAN WU
  • ANANTH SRINIVASAN

Abstract

In this chapter, we report on a study of patterns of information diffusion across a variety of online social networks (OSNs). Specifically, we are interested in how diffusion patterns vary based on the choice of social networking media (text versus pictures) and context (international versus national, information consumption versus resulting action by network participants). We collected data from three different examples of network sites using both media over a three week period. By examining traditional network metrics, we outline some preliminary results from our study.

Suggested Citation

  • Minghan Wu & Ananth Srinivasan, 2016. "Patterns Of Information Diffusion In Online Social Networks: What Sna Metrics Can Reveal," World Scientific Book Chapters, in: Vandana Mangal & Andreina Mandelli & Uday Karmarkar & Antonella La Rocca (ed.), The UCLA Anderson Business and Information Technologies (BIT) Project A Global Study of Technology and Business Practice (2016), chapter 2, pages 19-33, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789814733564_0002
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    Keywords

    Technology; Business; Global;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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