{"title":"Motifs in weighted networks and their Hirsch subgraphs","authors":"Simon S. Li, R. Rousseau, F. Y. Ye","doi":"10.22452/MJLIS.VOL21NO3.2","DOIUrl":null,"url":null,"abstract":"Motifs are patterns of interactions occurring in complex networks and characterized by the fact that they occur significantly more than expected. Network indicators derived from motifs are introduced in this contribution. They provide yet another numerical view on network structures. Based on the notion of a motif’s h-index the motif’s Hirsch subgraph is constructed. This subgraph is a new characteristic structure in weighted networks. Use of these notions has been illustrated in two case studies: one involving a co-authorship and one involving a co-keyword network.","PeriodicalId":45072,"journal":{"name":"Malaysian Journal of Library & Information Science","volume":"21 1","pages":"21-34"},"PeriodicalIF":0.5000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaysian Journal of Library & Information Science","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.22452/MJLIS.VOL21NO3.2","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 4
Abstract
Motifs are patterns of interactions occurring in complex networks and characterized by the fact that they occur significantly more than expected. Network indicators derived from motifs are introduced in this contribution. They provide yet another numerical view on network structures. Based on the notion of a motif’s h-index the motif’s Hirsch subgraph is constructed. This subgraph is a new characteristic structure in weighted networks. Use of these notions has been illustrated in two case studies: one involving a co-authorship and one involving a co-keyword network.