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

Authors Alessio Conte, Roberto Grossi, Andrea Marino, Luca Versari

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Keywords
  • Enumeration algorithms
  • maximal cliques
  • network mining and analytics
  • reverse search
  • space efficiency

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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.

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Alessio Conte, Roberto Grossi, Andrea Marino, and Luca Versari. Sublinear-Space Bounded-Delay Enumeration for Massive Network Analytics: Maximal Cliques. In 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 55, pp. 148:1-148:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016) https://doi.org/10.4230/LIPIcs.ICALP.2016.148

Author Details

Alessio Conte
Roberto Grossi
Andrea Marino
Luca Versari

References

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