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  • 标题:Computation of Graphlet Orbits for Nodes and Edges in Sparse Graphs
  • 本地全文:下载
  • 作者:Tomaž Hočevar ; Janez Demšar
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2016
  • 卷号:71
  • 期号:1
  • 页码:1-24
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:Graphlet analysis is a useful tool for describing local network topology around individual nodes or edges. A node or an edge can be described by a vector containing the counts of different kinds of graphlets (small induced subgraphs) in which it appears, or the "roles" (orbits) it has within these graphlets. We implemented an R package with functions for fast computation of such counts on sparse graphs. Instead of enumerating all induced graphlets, our algorithm is based on the derived relations between the counts, which decreases the time complexity by an order of magnitude in comparison with past approaches.
  • 关键词:network analysis;graphlets;data mining;bioinformatics
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