Invention Grant
- Patent Title: Categorizing social network objects based on user affiliations
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Application No.: US15587771Application Date: 2017-05-05
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Publication No.: US10013729B2Publication Date: 2018-07-03
- Inventor: Daniel Leon Kelmenson , David Stewart Willner
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Fenwick & West LLP
- Main IPC: G06F15/16
- IPC: G06F15/16 ; G06Q50/26 ; G06Q10/10 ; G06Q50/00 ; G06F7/08

Abstract:
Groups of users of a social networking system are categorized based on their association 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 of interactions with the malicious groups. Other groups associated with the selected users are identified as being potentially malicious groups. The potentially malicious groups are further analyzed based on occurrences of keywords associated with the type of malicious activity and manual verification by experts. The potentially malicious groups are either classified as being malicious or non-malicious or assigned a score based on their likelihood of being associated with the type of malicious activity. The methods and system disclosed can be used for categorizing other types of social network objects based on their association with a type of malicious activity, for example, users, events, and content.
Public/Granted literature
- US20170243314A1 CATEGORIZING SOCIAL NETWORK OBJECTS BASED ON USER AFFILIATIONS Public/Granted day:2017-08-24
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