Link Prediction in Social Networks Role of Power Law Distribution /

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 node...

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Bibliographic Details
Main Author: Srinivas, Virinchi
Corporate Author: SpringerLink (Online service)
Other Authors: Mitra, Pabitra
Format: Electronic Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016
Edition:1st ed. 2016
Series:SpringerBriefs in computer science
Subjects:

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