Sentiment community detection in social networks

Kaiquan Xu; Jiexun Li; Stephen Shaoyi Liao

doi:10.1145/1940761.1940913

Sentiment community detection in social networks

Kaiquan Xu
, Jiexun Li
, Stephen Shaoyi Liao

Department of Information Systems

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

34 Citations (Scopus)

Abstract

With the increasing popularity of social networking sites and Web 2.0, people are building social relationships and expressing their opinions in the cyberspace. In this study, we introduce several novel methods to identify online communities with similar sentiments in online social networks. Our preliminary experiment on a real-world dataset demonstrates that our proposed method can detect interesting sentiment communities in social networks. Copyright © 2011 ACM.

Original language	English
Title of host publication	ACM International Conference Proceeding Series
Pages	804-805
DOIs	https://doi.org/10.1145/1940761.1940913
Publication status	Published - 2011
Event	6th Annual Conference on 2011 iConference: Inspiration, Integrity, and Intrepidity, iConference 2011 - Seattle, WA, United States Duration: 8 Feb 2011 → 11 Feb 2011

Conference

Conference	6th Annual Conference on 2011 iConference: Inspiration, Integrity, and Intrepidity, iConference 2011
Place	United States
City	Seattle, WA
Period	8/02/11 → 11/02/11

Research Keywords

Community detection
Sentiment analysis
Social networks

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10.1145/1940761.1940913

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@inproceedings{28fbc40726154e99bf5fee7d4f3fae73,

title = "Sentiment community detection in social networks",

abstract = "With the increasing popularity of social networking sites and Web 2.0, people are building social relationships and expressing their opinions in the cyberspace. In this study, we introduce several novel methods to identify online communities with similar sentiments in online social networks. Our preliminary experiment on a real-world dataset demonstrates that our proposed method can detect interesting sentiment communities in social networks. Copyright {\textcopyright} 2011 ACM.",

keywords = "Community detection, Sentiment analysis, Social networks",

author = "Kaiquan Xu and Jiexun Li and Liao, \{Stephen Shaoyi\}",

year = "2011",

doi = "10.1145/1940761.1940913",

language = "English",

isbn = "9781450301213",

pages = "804--805",

booktitle = "ACM International Conference Proceeding Series",

note = "6th Annual Conference on 2011 iConference: Inspiration, Integrity, and Intrepidity, iConference 2011 ; Conference date: 08-02-2011 Through 11-02-2011",

}

TY - GEN

T1 - Sentiment community detection in social networks

AU - Xu, Kaiquan

AU - Li, Jiexun

AU - Liao, Stephen Shaoyi

PY - 2011

Y1 - 2011

N2 - With the increasing popularity of social networking sites and Web 2.0, people are building social relationships and expressing their opinions in the cyberspace. In this study, we introduce several novel methods to identify online communities with similar sentiments in online social networks. Our preliminary experiment on a real-world dataset demonstrates that our proposed method can detect interesting sentiment communities in social networks. Copyright © 2011 ACM.

AB - With the increasing popularity of social networking sites and Web 2.0, people are building social relationships and expressing their opinions in the cyberspace. In this study, we introduce several novel methods to identify online communities with similar sentiments in online social networks. Our preliminary experiment on a real-world dataset demonstrates that our proposed method can detect interesting sentiment communities in social networks. Copyright © 2011 ACM.

KW - Community detection

KW - Sentiment analysis

KW - Social networks

UR - https://www.scopus.com/pages/publications/79952597397

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-79952597397&origin=recordpage

U2 - 10.1145/1940761.1940913

DO - 10.1145/1940761.1940913

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781450301213

SP - 804

EP - 805

BT - ACM International Conference Proceeding Series

T2 - 6th Annual Conference on 2011 iConference: Inspiration, Integrity, and Intrepidity, iConference 2011

Y2 - 8 February 2011 through 11 February 2011

ER -

Sentiment community detection in social networks

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Research Keywords

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