首页    期刊浏览 2024年09月07日 星期六
登录注册

文章基本信息

  • 标题:Sublinear-Space Bounded-Delay Enumeration for Massive Network Analytics: Maximal Cliques
  • 本地全文:下载
  • 作者:Alessio Conte ; Roberto Grossi ; Andrea Marino
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2016
  • 卷号:55
  • 页码:148:1-148:15
  • DOI:10.4230/LIPIcs.ICALP.2016.148
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Due to the sheer size of real-world networks, delay and space become quite relevant measures for the cost of enumeration in network analytics. This paper presents efficient algorithms for listing maximum cliques in networks, providing the first sublinear-space bounds with guaranteed delay per enumerated clique, thus comparing favorably with the known literature.
  • 关键词:Enumeration algorithms; maximal cliques; network mining and analytics; reverse search; space efficiency
国家哲学社会科学文献中心版权所有