DocumentCode :
2770476
Title :
Ant-Based Simulation of Opinion Spreading in Online Social Networks
Author :
Kaiser, Carolin ; Kröckel, Johannes ; Bodendorf, Freimut
Author_Institution :
Dept. of Inf. Syst., Univ. of Erlangen-Nuremberg, Erlangen, Germany
Volume :
1
fYear :
2010
fDate :
Aug. 31 2010-Sept. 3 2010
Firstpage :
537
Lastpage :
540
Abstract :
An increasing number of people are socializing within online networks. By means of interaction, network members influence one another´s opinion. For companies, it is important to know how opinions spread throughout networks in order to be able to take appropriate marketing actions. A new approach is presented which simulates the spread of opinions within online social networks. The principles of opinion formation are first revealed by ant mining algorithms coming from swarm intelligence and then applied to simulate the spread of opinions.
Keywords :
artificial intelligence; data mining; marketing; social networking (online); ant mining algorithm; ant-based simulation; marketing; online social networks; opinion spreading; swarm intelligence; Ant Algorithms; Diffusion; Opinion Mining; Social Networks; Swarm Intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
Type :
conf
DOI :
10.1109/WI-IAT.2010.12
Filename :
5616317
Link To Document :
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