Visualizing community detection in opportunistic networks

Eiko Yoneki*, Pan Hui, Jon Crowcroft

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

28 Citations (Scopus)

Abstract

Community is an important attribute of Pocket Switched Networks (PSNs), since mobile devices are carried by people who end to belong to communities in their social life. We discover the heterogeneity of human interactions such as community formation from real world human mobility traces. We have introduced novel distributed community detection approaches and evaluated with those traces [11]. This paper describes a series of visualizations to show characteristics of human mobility traces including community detection.We focus on extracting information related to levels of clustering, network transitivity, and strong community structure. The progression of the connection map along the community formation process is also visualized.

Original languageEnglish
Title of host publicationMobiCom'07 Co-Located Workshops - Proceedings of the 2nd ACM Workshop on Challenged Networks, CHANTS'07
PublisherAssociation for Computing Machinery (ACM)
Pages93-96
Number of pages4
ISBN (Print)9781595937377
Publication statusPublished - 2007
Externally publishedYes
EventMobiCom'07 Co-Located Workshops - 2nd ACM Workshop on Challenged Networks, CHANTS'07 - Montreal, QC, Canada
Duration: 14 Sept 200714 Sept 2007

Publication series

NameMobiCom'07 Co-Located Workshops - Proceedings of the 2nd ACM Workshop on Challenged Networks, CHANTS'07

Conference

ConferenceMobiCom'07 Co-Located Workshops - 2nd ACM Workshop on Challenged Networks, CHANTS'07
Country/TerritoryCanada
CityMontreal, QC
Period14/09/0714/09/07

Keywords

  • Delay tolerant networks
  • Distributed community detection
  • Network measurement
  • Social networks

Fingerprint

Dive into the research topics of 'Visualizing community detection in opportunistic networks'. Together they form a unique fingerprint.

Cite this