Use of online social networks has grown dramatically since the first Web 2.0 technologies were deployed in the early 2000s. Our ability to capture user data, in particular behavioral data has grown in concert with increased use of these social systems. In this study, we survey methods for modeling and analyzing online user behavior. We focus on negative behaviors (social spamming and cyberbullying) and mitigation techniques for these behaviors. We also provide information on the interplay between privacy and deception in social networks and conclude by looking at trending and cascading models in social media. WIREs Data Mining Knowl Discov 2017, 7:e1203. doi: 10.1002/widm.1203. For further resources related to this article, please visit the WIREs website.
|Original language||English (US)|
|Journal||Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery|
|State||Published - May 1 2017|
All Science Journal Classification (ASJC) codes
- Computer Science(all)