License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2016.148
URN: urn:nbn:de:0030-drops-62927
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6292/
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Conte, Alessio ; Grossi, Roberto ; Marino, Andrea ; Versari, Luca

Sublinear-Space Bounded-Delay Enumeration for Massive Network Analytics: Maximal Cliques

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LIPIcs-ICALP-2016-148.pdf (0.6 MB)

Abstract

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.

BibTeX - Entry

@InProceedings{conte_et_al:LIPIcs:2016:6292,
  author =	{Alessio Conte and Roberto Grossi and Andrea Marino and Luca Versari},
  title =	{{Sublinear-Space Bounded-Delay Enumeration for Massive Network Analytics: Maximal Cliques}},
  booktitle =	{43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)},
  pages =	{148:1--148:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-013-2},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{55},
  editor =	{Ioannis Chatzigiannakis and Michael Mitzenmacher and Yuval Rabani and Davide Sangiorgi},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6292},
  URN =		{urn:nbn:de:0030-drops-62927},
  doi =		{10.4230/LIPIcs.ICALP.2016.148},
  annote =	{Keywords: Enumeration algorithms, maximal cliques, network mining and analytics, reverse search, space efficiency}
}

Keywords: Enumeration algorithms, maximal cliques, network mining and analytics, reverse search, space efficiency
Collection: 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)
Issue Date: 2016
Date of publication: 23.08.2016

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