Enumerating Isolated Cliques in Temporal Networks

Hendrik Molter, Rolf Niedermeier, Malte Renken

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Isolation is a concept from the world of clique enumeration that is mostly used to model communities that do not have much contact to the outside world. Herein, a clique is considered isolated if it has few edges connecting it to the rest Motivated by recent work on enumerating cliques in temporal networks, we bring the isolation concept to this setting. We discover that the addition of the time dimension leads to six distinct natural isolation concepts. Our main contribution is the development of fixed-parameter enumeration algorithms for five of these six clique types employing the parameter “degree of isolation”. On the empirical side, we implement and test these algorithms on (temporal) social network data, obtaining encouraging preliminary results.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
EditorsHocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
PublisherSpringer
Pages519-531
Number of pages13
ISBN (Print)9783030366827
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes
Event8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
Duration: 10 Dec 201912 Dec 2019

Publication series

NameStudies in Computational Intelligence
Volume882 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
Country/TerritoryPortugal
CityLisbon
Period10/12/1912/12/19

Keywords

  • Community detection
  • Dense subgraphs
  • Fixed-parameter tractability
  • Social network analysis
  • Time-evolving data

ASJC Scopus subject areas

  • Artificial Intelligence

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