DocumentCode
1826416
Title
Different approaches to community evolution prediction in blogosphere
Author
Gliwa, Bogdan ; Brodka, Piotr ; Zygmunt, Anna ; Saganowski, Stanislaw ; Kazienko, P. ; Kozlak, Jaroslaw
Author_Institution
AGH Univ. of Sci. & Technol., Kraków, Poland
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
1291
Lastpage
1298
Abstract
Predicting the future direction of community evolution is a problem with high theoretical and practical significance. It allows to determine which characteristics describing communities have importance from the point of view of their future behaviour. Knowledge about the probable future career of the community aids in the decision concerning investing in contact with members of a given community and carrying out actions to achieve a key position in it. It also allows to determine effective ways of forming opinions or to protect group participants against such activities. In the paper, a new approach to group identification and prediction of future events is presented together with the comparison to existing method. Performed experiments prove a high quality of prediction results. Comparison to previous studies shows that using many measures to describe the group profile, and in consequence as a classifier input, can improve predictions.
Keywords
social networking (online); blogosphere; community aids; community evolution prediction; future event prediction; group identification; Communities; Conferences; Data mining; Position measurement; Prediction algorithms; Social network services; Time measurement; GED; SGCI; group dynamics; group evolution; predicting group evolution; social network; social network analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location
Niagara Falls, ON
Type
conf
Filename
6785869
Link To Document