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The link prediction problem for social networks

, and . Proceedings of the 12th International Conference on Information and Knowledge Management (CIKM 2003), page 556--559. New Orleans, LA, USA, ACM, (2003)
DOI: 10.1145/956863.956972

Abstract

Given a snapshot of a social network, can we infer which new interactions among its members are likely to occur in the near future? We formalize this question as the <i>link prediction problem</i>, and develop approaches to link prediction based on measures the "proximity" of nodes in a network. Experiments on large co-authorship networks suggest that information about future interactions can be extracted from network topology alone, and that fairly subtle measures for detecting node proximity can outperform more direct measures.

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The link prediction problem for social networks

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