Detecting Communities and Surveying the Most Influence ofOnline Users
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
View: 433
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ACSIJ-4-6_024
تاریخ نمایه سازی: 4 خرداد 1395
Abstract:
Social network is a virtual environment that provides services forconnecting users with the same interests, points of view, gender,space and time. Beside connection, information exchange,communication, entertainment and so on. Social network is alsoan environment for users who work in online business, advertisement or politics, criminal investigation. How to knowwhat users discuss topics via exchanged contents and communitieswhich users join in? In this paper, we propose a model by usingtopic model combined with K-means to detect communities ofonline users. Each user in social network is represented by avector in which the components are the distribution probabilitiesof interested topics of that user. Based on the components of thisvector, we discover the interested topics of online users to detectcommunities and survey users who are the most influence incommunities to recommend for spreading information on socialnetwork.
Keywords:
Authors
Thanh Tran
University of Information Technology, VNU-HCM, Vietnam
Thanh Ho
Faculty of Information System, University of Economics and Law
Phuc Do
University of Information Technology, VNU-HCM, Vietnam