Name
Title | ||
|---|---|---|
Leveraging Analysis of User Behavior to Identify Malicious Activities in Large-Scale Social Networks. |
Abstract | ||
|---|---|---|
With the enormous growth and volume of online social networks and their features, along with the vast number of socially connected users, it has become difficult to explain the true semantic value of published content for the detection of user behaviors. Without understanding the contextual background, it is impractical to differentiate among various groups in terms of their relevance and mutual r... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TII.2017.2753202 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Informatics,Twitter,YouTube,Feature extraction,User-generated content,Semantics | Data science,User-generated content,World Wide Web,Content analysis,Social graph,Social network,User profile,Social media,Computer science,Norm (social),Real-time computing,Semantics | Journal |
Volume | Issue | ISSN |
14 | 2 | 1551-3203 |
Citations | PageRank | References |
4 | 0.42 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Al-Qurishi | 1 | 73 | 10.17 |
| M. Shamim Hossain | 2 | 1171 | 83.62 |
| Majed A. Alrubaian | 3 | 133 | 12.07 |
| Mizanur Rahman | 4 | 129 | 20.97 |
| atif alamri | 5 | 1108 | 69.29 |