ArticleNature communications2016
The H-index of a network node and its relation to degree and coreness.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.
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Who cites it
70 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global Research on Neuropathic Pain Rehabilitation over the Last 20 Years.Neural plasticity · 2021Pooled it
- Targeted spreader identification via lexicographic core decomposition.Scientific reports · 2026Article
- Unified influence estimation through multi-hop reinforcement and diversity-weighted fusion in weighted complex networks.Scientific reports · 2026Article
- Surveillance of infectious diseases spreading on time-varying multiplex networks.Infectious Disease Modelling · 2026Article
- Identifying influential nodes through hierarchical k-shell and extended neighborhood integration.Scientific reports · 2026Article
- The recipe similarity network: a new algorithm to extract relevant information from cookbooks.Scientific reports · 2025Article
- Prestige bias drives the viral spread of content reposted by influencers in online communities.Scientific reports · 2025Article
- Identifying Influential Nodes Based on Evidence Theory in Complex Network.Entropy (Basel, Switzerland) · 2025Article
- A novel voting measure for identifying influential nodes in complex networks based on local structure.Scientific reports · 2025Article
- Electrophysiology in neuropathic pain: a bibliometric analysis and literature review.Frontiers in neuroscience · 2025Review
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- Mapping the therapeutic landscape of CRISPR-Cas9 for combating age-related diseases.Frontiers in genome editing · 2025Article
- A Multi-Attribute Decision-Making Approach for Critical Node Identification in Complex Networks.Entropy (Basel, Switzerland) · 2024Article
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- Advancements and prospects of Raman spectroscopy in urological tumors: a bibliometric analysis.Lasers in medical science · 2023Review
- Identifying influential nodes in complex networks using a gravity model based on the H-index method.Scientific reports · 2023Article
- STARGATE-X: a Python package for statistical analysis on the REACTOME network.Journal of integrative bioinformatics · 2023Article
- Integrating local and global information to identify influential nodes in complex networks.Scientific reports · 2023Article
- Influential nodes identification method based on adaptive adjustment of voting ability.Heliyon · 2023Article
10 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.