Title :
Analyzing Opinion Formation in Online Social Networks: Mining Services for Online Market Research
Author :
Kaiser, Carolin ; Kröckel, Johannes ; Bodendorf, Freimut
Author_Institution :
Dept. of Inf. Syst., Univ. of Erlangen-Nuremberg, Nuremberg, Germany
fDate :
March 29 2011-April 2 2011
Abstract :
Networking via the Internet is becoming very popular. Many people meet up in online social networks where they form friendships, share the same interests and discuss several topics. By interacting with each other, people influence one another´s opinions. Analyzing opinion formation in online social networks yields significant information for market research. This paper introduces mining services which explain and predict opinion formation of the network members on the basis of their social relationships by combining methods from text mining and swarm intelligence. The approach is illustrated by taking an online gaming community as an example.
Keywords :
Internet; data mining; marketing data processing; social networking (online); text analysis; Internet; market research; mining services; network members; online gaming community; online market research; online social networks; opinion formation; social relationships; swarm intelligence; text mining; Accuracy; Communities; Games; Internet; Social network services; Text mining; Mining Services; Opinion Formation; Social Network Analysis; Swarm Intelligence; Text Mining;
Conference_Titel :
SRII Global Conference (SRII), 2011 Annual
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-61284-415-2
Electronic_ISBN :
978-0-7695-4371-0
DOI :
10.1109/SRII.2011.51
