您的当前位置:首页正文

Categorizing social network objects based on user

2024-01-30 来源:钮旅网
专利内容由知识产权出版社提供

专利名称:Categorizing social network objects based

on user affiliations

发明人:Daniel Leon Kelmenson,David Stewart

Willner

申请号:US12975213申请日:20101221公开号:US08738705B2公开日:20140527

专利附图:

摘要:Groups of users of a social networking system are categorized based on theirassociation with a type of malicious activity. A set of predetermined malicious groups is

identified. Users associated with the malicious groups are selected based on their level ofinteractions with the malicious groups. Other groups associated with the selected usersare identified as being potentially malicious groups. The potentially malicious groups arefurther analyzed based on occurrences of keywords associated with the type of maliciousactivity and manual verification by experts. The potentially malicious groups are eitherclassified as being malicious or non-malicious or assigned a score based on theirlikelihood of being associated with the type of malicious activity. The methods andsystem disclosed can be used for categorizing other types of social network objectsbased on their association with a type of malicious activity, for example, users, events, andcontent.

申请人:Daniel Leon Kelmenson,David Stewart Willner

地址:San Jose CA US,Palo Alto CA US

国籍:US,US

代理机构:Fenwick & West LLP

更多信息请下载全文后查看

因篇幅问题不能全部显示,请点此查看更多更全内容