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Link Prediction in Social Networks

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

Link prediction deals with predicting new links which are likely to emerge in network in the future, given the network at the current time. It has a wide range of applications including recommender systems, spam mail classification, identifying domain experts in various research areas, etc. In this chapter, we discuss the prior art in link prediction literature.

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Notes

  1. 1.

    Even though we use the term similarity measure, it is a similarity function and need not be a measure.

  2. 2.

    Owing to high computational overhead.

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Authors and Affiliations

  1. Department of Computer Science, University of Maryland, College Park, MD, USA

    Virinchi Srinivas

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

    Pabitra Mitra

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  1. Virinchi Srinivas
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  2. Pabitra Mitra
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Srinivas, V., Mitra, P. (2016). Introduction. In: Link Prediction in Social Networks. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-28922-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-28922-9_1

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