The Detection of Anomalous Users in Location-Based Social Networks by Using Graph Rules
An analysis of social networks is necessary to detect anomalous users, due to the popularity of these networks. This paper aims to detect anomalous users in location based social networks. For this purpose, an ego graph is computed for each user, and the five variables vertex degree, edge size, edge...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
University of Qom
2022-03-01
|
| Series: | مدیریت مهندسی و رایانش نرم |
| Subjects: | |
| Online Access: | https://jemsc.qom.ac.ir/article_1373_39cfc86eabcbd0116fe42cc96098e3d9.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|