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首页> 外文期刊>Advances in Computer Science and Information Technology: ACSIT >Feature Extraction and Content Investigation of Facebook Users? using Netviz and Gephi
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Feature Extraction and Content Investigation of Facebook Users? using Netviz and Gephi

机译:Facebook用户的功能提取和内容调查? 使用netviz和gephi

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摘要

Facebook is widely used by number of user for their communication purpose. In Facebook application user can make new friends and share his or her views and also comments or likes on their user views. People are getting addicted to Facebook and they are adding more and more new friends. Sometimes these new friends can be malicious. Malicious user can access user personal information to perform malicious activity like sending spam message to personal user for its own purpose so there should be a mechanism in which these malicious users can be distinguished from normal users. In this paper, Facebook page data is analyzed by using Gephi and Facebook network data is collected using Netviz. Different groups are identified in this page dataset those having same like and interest.
机译:Facebook广泛用于用户的通信目的。 在Facebook应用程序中,用户可以创建新朋友并分享他或她的观点,并在其用户视图上评论或喜欢。 人们沉迷于Facebook,他们正在添加越来越多的新朋友。 有时这些新朋友可能是恶意的。 恶意用户可以访问用户个人信息,以便为自己的目的发送给个人用户的恶意活动,以便应该有一种机制,这些机制可以与普通用户区分开。 在本文中,通过使用Gephi分析Facebook页面数据,并使用NetViz收集Facebook网络数据。 在本页数据集中识别不同的组,具有相同和兴趣的数据集。

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