 Extracting a core structure from heterogeneous information network using h-subnet and meta-path strengthRuby W. Wang, Shelia X. Wei and Fred Y. Ye Journal of Informetrics, 2021, vol. 15, issue 3 Abstract: Based on the analytical methodology of homogeneous networks, we present a novel method to extract a core structure from a heterogeneous network. By extending two forms of meta-paths to represent the relationships between attribute edges, we propose the meta-path strength as a measure of the link strength of attribute edges in a heterogeneous information network. Inspired by the h-subnet method for weighted complex networks, we identify important attribute edges based on the h-cutoff of meta-path strengths. Additionally, important base edges can be filtered according to the base nodes on the retained attribute edges. Therefore, a heterogeneous h-subnet can be obtained by combining important attribute edges and base edges. Two bibliographic information networks are used to evaluate the proposed method empirically, and the results indicate that the extracted heterogeneous h-subnets contain less than 1% of the nodes and edges of the original networks and can cover different features of at least one of several other core structures. Keywords: Heterogeneous information network; Link strength; h-Subnet; h-Structure; h-Core; k-Core; Meta-path (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:15:y:2021:i:3:s1751157721000444 DOI: 10.1016/j.joi.2021.101173 Access Statistics for this article Journal of Informetrics is currently edited by Leo Egghe More articles in Journal of Informetrics from Elsevier |
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