Information propagation in social rating networks
Refereed conference paper presented and published in conference proceedings

替代計量分析
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其它資訊
摘要The polarity of opinion is a crucial part of information and ignoring the asymmetry between them, can potentially result in an inaccurate estimation of the number of product adoptions and incorrect recommendations. We analyze the propagation patterns of the negative and positive opinions on two real world datasets, Flixster and Epinions, and observe that the presence of negative opinions significantly reduces the number of expressed opinions. To account for the asymmetry between the two kind of opinions, we propose extensions of the two most popular information propagation models, Independent Cascade and Linear Threshold models. The proposed extensions give a tractable influence problem and improves the prediction accuracy of future opinions, by more than 3% on Flixster and 5% on Epinions datasets. © 2012 ACM.
著者Garg P., King I., Lyu M.R.
會議名稱21st ACM International Conference on Information and Knowledge Management, CIKM 2012
會議開始日29.10.2012
會議完結日02.11.2012
會議地點Maui, HI
會議國家/地區美國
出版年份2012
月份12
日期19
頁次2279 - 2282
國際標準書號9781450311564
語言英式英語
關鍵詞information flow, negative opinions, social networks

上次更新時間 2020-25-10 於 00:51