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- Title
Roles of degree, H-index and coreness in link prediction of complex networks.
- Authors
Zhu, Xuzhen; Yang, Yujie; Li, Lanxi; Cai, Shimin
- Abstract
Link prediction based on topological similarity attracts more and more interests. Traditionally, researchers almost focus on utility of the paths between two unlinked endpoints, but pay little attention to the influence of the endpoints with only degree considered. Through profound investigations, we find, besides of degree, H-index and coreness also can play important roles in link prediction as the influence of endpoint especially in models based on representative SRW which is for the first time introduce influence into link prediction. In this paper, we mainly research degree, H-index and coreness in SRW-based models to explore their roles in accurate link prediction. Extensive experiments on twelve real benchmark datasets suggest that in most cases H-index serves as a better tradeoff in accurate link prediction than either degree or coreness.
- Subjects
RANDOM walks; COMPUTER networks; ELECTRONIC data processing; MATHEMATICAL physics; H-index (Citation analysis)
- Publication
International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics, 2018, Vol 32, Issue 16, pN.PAG
- ISSN
0217-9792
- Publication type
Article
- DOI
10.1142/S0217979218501977