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dc.contributor.authorHuang, Chung-Yuanen_US
dc.contributor.authorChin, Wei-Chien-Bennyen_US
dc.contributor.authorFu, Yu-Hsiangen_US
dc.contributor.authorTsai, Yu-Shiuanen_US
dc.date.accessioned2020-01-02T00:04:24Z-
dc.date.available2020-01-02T00:04:24Z-
dc.date.issued2019-12-15en_US
dc.identifier.issn0378-4371en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.physa.2019.04.263en_US
dc.identifier.urihttp://hdl.handle.net/11536/153440-
dc.description.abstractMany network researchers use intuitive or basic definitions when discussing the importance of strong and weak links and their roles. Others use an approach best described as "if not strong, then weak" to determine the strengths and weaknesses of individual links, thus deemphasizing hierarchical network structures that allow links to express different strength levels. Here we describe our proposal for a hierarchical edge type analysis (HETA) algorithm for determining link types at multiple network hierarchy levels based on the common neighbor concept plus statistical factors such as bond links, kth-layer local bridges, global bridges, and silk links-all generated during long-term network development and evolution processes. Two sets of networks were used to validate our proposed algorithm, one consisting of 16 networks employed in multiple past studies, and one consisting of two types of one-dimensional small-world networks expressing different random rewiring or shortcut addition probabilities. Two applications with potential for developmental contributions are demonstrated: a network fingerprint analysis framework, and a hierarchical network community partition method. (C) 2019 The Authors. Published by Elsevier B.V.en_US
dc.language.isoen_USen_US
dc.subjectNetwork topologyen_US
dc.subjectHierarchy of linksen_US
dc.subjectCommon neighbor concepten_US
dc.subjectFingerprint analysisen_US
dc.subjectHierarchical community partitionen_US
dc.subjectEdge type analysisen_US
dc.titleBeyond bond links in complex networks:Local bridges, global bridges and silk linksen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.physa.2019.04.263en_US
dc.identifier.journalPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONSen_US
dc.citation.volume536en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000500034900063en_US
dc.citation.woscount0en_US
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