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Information Diffusion and Dissipative Effect on Social Networks

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Abstract

It is quite important in ITeS to consider phenomena and behavior of people on social networks. In this chapter, we discuss information diffusion and dissipative effect using analytical and computational methods in order to investigate the phenomena and behavior. In general, network structure plays an essential role in the process of information diffusion so that we are faced by the difficulties in control our personal and confidential information. The computer simulation in this chapter assumes a scale-free network as often seen in online social networks. We find out that the process of information diffusion obeys a certain curve and that there may be quantum leaps which are caused by the hubs of social networks. Adding to this, we have obtained the results of dissipative effect using two operations. One eliminates the main hub from the networks, the other reconstructs the network as a stochastic network based on a constant diffusion probability. Moreover, we obtain the suggestion of information diffusion and dissipative effect for the further investigation in information management and malware infection in information security.

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Notes

  1. 1.

    http://www.facebook.com/

  2. 2.

    http://plus.google.com/

  3. 3.

    http://gree.jp/

  4. 4.

    http://mixi.jp/

  5. 5.

    http://www.linkedin.com/

  6. 6.

    http://mbga.jp/

  7. 7.

    http://www.myspace.com/

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Correspondence to Yuya Dan .

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Dan, Y. (2013). Information Diffusion and Dissipative Effect on Social Networks. In: Uesugi, S. (eds) IT Enabled Services. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1425-4_3

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  • DOI: https://doi.org/10.1007/978-3-7091-1425-4_3

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1424-7

  • Online ISBN: 978-3-7091-1425-4

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