Name
Abstract | ||
|---|---|---|
Anomaly detection is of critical importance to prevent malicious activities such as bullying, terrorist attack planning, and fraud information dissemination. With the recent popularity of social media, new types of anomalous behaviors arise, causing concerns from various parties. While a large body of work haven been dedicated to traditional anomaly detection problems, we observe a surge of research interests in the new realm of social media anomaly detection. In this tutorial, we survey existing work on social media anomaly detection, focusing on the new anomalous phenomena in social media and most recent techniques to detect those special types of anomalies. We aim to provide a general overview of the problem domain, common formulations, existing methodologies and future directions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/3018661.3022757 | WSDM |
Keywords | Field | DocType |
Anomaly detection, Social media analysis | Anomaly detection,Internet privacy,Social media,Realm,Problem domain,Computer science,Computer security,Terrorism,Popularity,Haven,Information Dissemination | Conference |
Citations | PageRank | References |
5 | 0.38 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Liu | 1 | 2551 | 189.16 |
| Sanjay Chawla | 2 | 1372 | 105.09 |