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Structure and Evolution of Online Social Networks

  • Chapter
Social Networking

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 65))

Abstract

Social networks are complex systems which evolve through interactions among a growing set of actors or users. A popular methodology of studying such systems is to use tools of complex network theory to analyze the evolution of the networks, and the topological properties that emerge through the process of evolution. With the exponential rise in popularity of Online Social Networks (OSNs) in recent years, there have been a number of studies which measure the topological properties of such networks. Several network evolution models have also been proposed to explain the emergence of these properties, such as those based on preferential attachment, heterogeneity of nodes, and triadic closure. We survey some of these studies in this chapter. We also describe in detail a preferential attachment based model to analyze the evolution of OSNs in the presence of restrictions on node-degree that are presently being imposed in all popular OSNs.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Bengal Engineering and Science University Shibpur, Howrah, 711103, India

    Saptarshi Ghosh

  2. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, Kharagpur, 721302, India

    Niloy Ganguly

Authors
  1. Saptarshi Ghosh
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  2. Niloy Ganguly
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Correspondence to Saptarshi Ghosh .

Editor information

Editors and Affiliations

  1. Gandhi Institute for Technological Advancement, Bhubaneswar, Orissa, India

    Mrutyunjaya Panda

  2. Department of Systems Engineering, Ajou University, Yeongtong-gu, Korea, Republic of (South Korea)

    Satchidananda Dehuri

  3. Department of Industrial Engineering, Ajou University, Yeongtong-gu, Korea, Republic of (South Korea)

    Gi-Nam Wang

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Ghosh, S., Ganguly, N. (2014). Structure and Evolution of Online Social Networks. In: Panda, M., Dehuri, S., Wang, GN. (eds) Social Networking. Intelligent Systems Reference Library, vol 65. Springer, Cham. https://doi.org/10.1007/978-3-319-05164-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-05164-2_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05163-5

  • Online ISBN: 978-3-319-05164-2

  • eBook Packages: EngineeringEngineering (R0)

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