Visualizing Community Detection in Opportunistic Networks

Eiko Yoneki; Pan Hui; Jon Crowcroft

doi:10.1145/1287791.1287810

Visualizing Community Detection in Opportunistic Networks

Eiko Yoneki, Pan Hui, Jon Crowcroft

Research output: Contribution to conference › Conference Paper › peer-review

10 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 language	English
Pages	93-96
DOIs	https://doi.org/10.1145/1287791.1287810
Publication status	Published - 2007
Externally published	Yes
Event	CHANTS '07: Proceedings of the second ACM workshop on Challenged networks - Duration: 1 Jan 2007 → 1 Jan 2007

Conference

Conference	CHANTS '07: Proceedings of the second ACM workshop on Challenged networks
Period	1/01/07 → 1/01/07

Keywords

Delay tolerant networks
Distributed community detection
Network measurement
Social networks

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10.1145/1287791.1287810

Cite this

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title = "Visualizing Community Detection in Opportunistic Networks",

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.",

keywords = "Delay tolerant networks, Distributed community detection, Network measurement, Social networks",

author = "Eiko Yoneki and Pan Hui and Jon Crowcroft",

year = "2007",

doi = "10.1145/1287791.1287810",

language = "English",

pages = "93--96",

note = "CHANTS '07: Proceedings of the second ACM workshop on Challenged networks ; Conference date: 01-01-2007 Through 01-01-2007",

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TY - CONF

T1 - Visualizing Community Detection in Opportunistic Networks

AU - Yoneki, Eiko

AU - Hui, Pan

AU - Crowcroft, Jon

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Delay tolerant networks

KW - Distributed community detection

KW - Network measurement

KW - Social networks

UR - https://openalex.org/W2102169602

UR - https://www.scopus.com/pages/publications/38849176076

U2 - 10.1145/1287791.1287810

DO - 10.1145/1287791.1287810

M3 - Conference Paper

SP - 93

EP - 96

T2 - CHANTS '07: Proceedings of the second ACM workshop on Challenged networks

Y2 - 1 January 2007 through 1 January 2007

ER -

Visualizing Community Detection in Opportunistic Networks

Abstract

Conference

Keywords

Access to Document

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