DocumentCode
2774612
Title
Are Humans Like Ants? -- Analyzing Collective Opinion Formation in Online Discussions
Author
Kaiser, Carolin ; Piazza, Alexander ; Kröckel, Johannes ; Bodendorf, Freimut
Author_Institution
Dept. of Inf. Syst., Univ. of Erlangen-Nuremberg, Nuremberg, Germany
fYear
2011
fDate
9-11 Oct. 2011
Firstpage
266
Lastpage
273
Abstract
Web 2.0 platforms give people more power over the way they share information and exchange opinions. The increase in social interactivity leads to the emerging of self-organized communities where members form their opinions via social swarming. This paper introduces a new approach which enables predicting and explaining the process of collective opinion formation by social swarming. A computational model for simulating collective opinion formation is derived from the ant colony meta-heuristic and applied to an exemplary online community where the members´ opinions are identified via text mining. For validation purposes, this approach is compared to three other approaches.
Keywords
Internet; ant colony optimisation; behavioural sciences computing; data mining; text analysis; Web 2.0; ant colony meta-heuristic; computational model; information sharing; online community; online discussions; opinion formation; self-organized community; social swarming; text mining; Classification algorithms; Communities; Computational modeling; Feature extraction; Humans; Support vector machines; Text mining; Ant Colony Optimization; Collective Intelligent Behavior; Group Dynamics; Online Communities; Opinion Formation; Swarm Intelligence; Text Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location
Boston, MA
Print_ISBN
978-1-4577-1931-8
Type
conf
DOI
10.1109/PASSAT/SocialCom.2011.94
Filename
6113124
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