Characterizing user groups in online social networks

Laszlo Gyarmati, Tuan Anh Trinh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The users' role is crucial in the development, deployment and the success of online social networks (OSNs). Despite this fact, little is known and even less has been published about user activities in the operating OSNs. In this paper, we present a large scale measurement analysis of user behaviour, in terms of time spent online, in some popular OSNs, namely Bebo, Flixster, MySpace, and Skyrock, and characterise user groups in OSNs. We used more than 200 PlanetLab [1] nodes for our measurement, monitored more than 3000 users for three weeks by downloading repeatedly their profile pages; more than 100 million pages were processed in total. The main findings of the paper are the following. Firstly, we create a measurement framework in order to observe user activity. Secondly, we present cumulative usage statistics of the different OSNs. Thirdly, we classify the monitored users into different groups and characterise the common properties of the members. Finally, we illustrate the wide applicability of our datasets by predicting the sign out method of the OSN users.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages59-68
Number of pages10
Volume5733 LNCS
DOIs
Publication statusPublished - 16 Oct 2009
Externally publishedYes
Event15th Open European Summer School and IFIP TC6.6 Workshop: The Internet of the Future, EUNICE 2009 - Barcelona, Spain
Duration: 7 Sep 20099 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5733 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th Open European Summer School and IFIP TC6.6 Workshop: The Internet of the Future, EUNICE 2009
CountrySpain
CityBarcelona
Period7/9/099/9/09

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Social Networks
Statistics
User Behavior
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Vertex of a graph

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Gyarmati, L., & Trinh, T. A. (2009). Characterizing user groups in online social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5733 LNCS, pp. 59-68). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5733 LNCS). https://doi.org/10.1007/978-3-642-03700-9_7

Characterizing user groups in online social networks. / Gyarmati, Laszlo; Trinh, Tuan Anh.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5733 LNCS 2009. p. 59-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5733 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gyarmati, L & Trinh, TA 2009, Characterizing user groups in online social networks. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5733 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5733 LNCS, pp. 59-68, 15th Open European Summer School and IFIP TC6.6 Workshop: The Internet of the Future, EUNICE 2009, Barcelona, Spain, 7/9/09. https://doi.org/10.1007/978-3-642-03700-9_7
Gyarmati L, Trinh TA. Characterizing user groups in online social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5733 LNCS. 2009. p. 59-68. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-03700-9_7
Gyarmati, Laszlo ; Trinh, Tuan Anh. / Characterizing user groups in online social networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5733 LNCS 2009. pp. 59-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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