文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 An Evolution Algorithm of Opinion Tendency in Internet
卷期 27:3
作者 Yun LiuLei DengMichael R. BartolacciQing-An Zeng
頁次 053-061
關鍵字 evolution algorithmhot topicInternetopinion tendencyEIMEDLINEScopus
出刊日期 201610
DOI 10.3966/199115592016102703006

中文摘要

英文摘要

We empirically analyze a “hot topic” of online marketing to exam the predictive performance of an opinion evolution model. We compare our model with existing algorithms of online prediction and conduct an analysis using a test data set. Results show that our model and corresponding information influence rule have increased prediction performance.

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