Anomaly detection has numerous applications in diverse fields. For example, it has been
widely used for discovering network intrusions and malicious events. It has also been used …

With the increasing trend of online social networks in different domains, social network
analysis has recently become the center of research. Online Social Networks (OSNs) have …

Social networks are becoming vulnerable to a number of fraudulent attacks and mischievous
activities due to their widespread use and increasing popularity. So, detection of anomalous …

In the recent years, the user activities over online social networks (OSNs) have increased
tremendously. A large number of users share information across the different social …

The phrase" anomaly detection" is often used to describe any technique that looks for
samples that differ from expected patterns. Depending on availability of data labels, types of …

Abstract Anomaly in Online Social Network can be designated as an unusual or illegal
activity of an individual. It can also be considered as an outlier or a surprising truth. Due to …

Social networks are rapidly becoming part of our everyday activities. In online social network
(OSN) environment, there is a huge amount of information which is available and widely …

Online Social Media (OSM) produce enormous data related to the human behaviours based
on their interactions. One such data is the opinions expressed and posted for any specific …

Anomaly detection in online social networks (OSNs) is an important data mining task that
aims to detect unexpected and suspicious users. To enhance anomaly exploration, anomaly …

Pervasive Online Social Networks (POSNs) are the extensions of Online Social Networks
(OSNs) which facilitate connectivity irrespective of the domain and properties of users …