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
Link To Document :
بازگشت