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International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction

SBP 2013: Social Computing, Behavioral-Cultural Modeling and Prediction pp 359–367Cite as

Which Targets to Contact First to Maximize Influence over Social Network

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7812))

Abstract

We address a new type of influence maximization problem which we call “target selection problem”. This is different from the traditionally thought influence maximization problem, which can be called “source selection problem”, where the problem is to find a set of K nodes that together maximizes their influence over a social network. The very basic assumption there is that all these K nodes can be the source nodes, i.e. can be activated. In “target selection problem” we maximize the influence of a new user as a source node by selecting K nodes in the network and adding a link to each of them. We show that this is the generalization of “source selection problem” and also satisfies the submodularity. The selected nodes are substantially different from those of “source selection problem” and use of the solution of “source selection problem” results in a very poor performance.

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Author information

Authors and Affiliations

  1. School of Administration and Informatics, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan

    Kazumi Saito

  2. Department of Electronics and Informatics, Ryukoku University, Otsu, 520-2194, Japan

    Masahiro Kimura

  3. Department of Integrated Information Technology, Aoyama Gakuin University, Kanagawa, 229-8558, Japan

    Kouzou Ohara

  4. Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Hiroshi Motoda

Authors
  1. Kazumi Saito
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  2. Masahiro Kimura
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  3. Kouzou Ohara
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  4. Hiroshi Motoda
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Editor information

Editors and Affiliations

  1. Applied Physics Laboratory, Research and Exploratory Development Department, Johns Hopkins University, 11100 Johns Hopkins Road, 20723, Laurel, MD, USA

    Ariel M. Greenberg  & Nathan D. Bos  & 

  2. Center for Social Complexity, Department of Computational Social Science, Krasnow Institute for Advanced Study, George Mason University, 4400 University Drive, 22030, Fairfax, VA, USA

    William G. Kennedy

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Saito, K., Kimura, M., Ohara, K., Motoda, H. (2013). Which Targets to Contact First to Maximize Influence over Social Network. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science, vol 7812. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37210-0_39

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  • DOI: https://doi.org/10.1007/978-3-642-37210-0_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37209-4

  • Online ISBN: 978-3-642-37210-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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