NDLI: The H-index of a network node and its relation to degree and coreness

Content Provider	PubMed Central
Author	Lü, Linyuan Zhou, Tao Zhang, Qian-ming Stanley, H. Eugene
Copyright Year	2016
Abstract	Identifying influential nodes in dynamical processes is crucial in understanding network structure and function. Degree, H-index and coreness are widely used metrics, but previously treated as unrelated. Here we show their relation by constructing an operator , in terms of which degree, H-index and coreness are the initial, intermediate and steady states of the sequences, respectively. We obtain a family of H-indices that can be used to measure a node's importance. We also prove that the convergence to coreness can be guaranteed even under an asynchronous updating process, allowing a decentralized local method of calculating a node's coreness in large-scale evolving networks. Numerical analyses of the susceptible-infected-removed spreading dynamics on disparate real networks suggest that the H-index is a good tradeoff that in many cases can better quantify node influence than either degree or coreness.
Related Links	http://dx.doi.org/10.1038/ncomms10168
Starting Page	10168
File Format	PDF
ISSN	20411723
e-ISSN	20411723
Journal	Nature Communications
Volume Number	7
Language	English
Publisher	Nature Publishing Group
Publisher Date	2016-01-01
Access Restriction	Open
Rights Holder	Nature Publishing Group
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Physics and Astronomy(all) Chemistry(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Chemistry Physics and Astronomy Biochemistry, Genetics and Molecular Biology

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