[Mobile book] Link Prediction in Social Networks: Role of Power Law Distribution (SpringerBriefs in Computer Science)
▲ Srinivas Virinchi, Pabitra Mitra ▲
| #2204903 in Books | 2016-01-23 | 2016-02-23 | Original language:English | PDF # 1 | 9.25 x.19 x6.10l,.0 | File Name: 3319289217 | 67 pages
||About the Author||Dr. Virinchi Srinivas is a Graduate Research Assistant in the Department of Computer Science at the University of Maryland, College Park, MD, USA. |Dr. Pabitra Mitra is an Associate Professor in the Depar
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 weight between nodes s...
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