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Selected Works of Hakim Hacid
Article
Communication overload management through social interactions clustering
Proceedings of the ACM Symposium on Applied Computing
  • Juan Antonio Lossio-Ventura, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier LIRMM
  • Hakim Hacid, Zayed University
  • Mathieu Roche, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier LIRMM
  • Pascal Poncelet, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier LIRMM
Link
Document Type
Conference Proceeding
Publication Date
4-4-2016
Abstract

© 2016 ACM. We propose in this paper to handle the problem of overload in social interactions by grouping messages according to three important dimensions: (i) content (textual and hashtags), (ii) users, and (iii) time difference. We evaluated our approach on a Twitter data set and we compared it to other existing approaches and the results are promising and encouraging.

DOI Link
10.1145/2851613.2851984
ISBN
9781450337397
Publisher
Association for Computing Machinery
Disciplines
Keywords
  • Clustering,
  • Social networks,
  • Twitter
Scopus ID
84975819733
Indexed in Scopus
Yes
Open Access
Yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01362442/file/lirmm-01362442.pdf
Citation Information
Juan Antonio Lossio-Ventura, Hakim Hacid, Mathieu Roche and Pascal Poncelet. "Communication overload management through social interactions clustering" Proceedings of the ACM Symposium on Applied Computing Vol. 04-08-April-2016 (2016) p. 1166 - 1169
Available at: http://works.bepress.com/hakim-hacid/1/