Link Prediction in Social Networks: Role of Power Law Distribution

by Pabitra Mitra, Virinchi Srinivas, Srinivas Virinchi

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This work presents link prediction similarity measures for social networks that exploit the degree distribution of the networks. In the context of link prediction in dense networks, the text proposes similarity measures based on Markov inequality degree thresholding (MIDTs), which only consider nodes whose degree is above a threshold for a possible link. Also presented are similarity measures based on cliques (CNC, AAC, RAC), which assign extra...

Format:Paperback

Language:English

ISBN:3319289217

ISBN13:9783319289212

Release Date:January 2016

Publisher:Springer

Length:67 Pages

Weight:0.27 lbs.

Dimensions:0.2" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology Math Mathematics Science & Math

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Link Prediction in Social Networks: Role of Power Law Distribution

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