The onset of Web 3.0 has catalyzed the rapid advancement of social networking,
transforming platforms into essential elements deeply embedded within the fabric of daily …

As the Internet is growing drastically, interest in online social networks has also dramatically
increased over the past ten years. They are among the most widely used websites on the …

Discovering suspicious and illicit behavior in social networks is a significant problem in
social network analysis. The patterns of interactions of suspicious users are quite different …

The analysis of malicious user behavior patterns in social networks has important
implications for detecting malicious pages, fraudsters, and financial frauds. Traditional …

Online social networks have received a dramatic increase of interest in the last decade due
to the growth of Internet and Web 2.0. They are among the most popular sites on the Internet …

Anomaly in Online Social Network can be referred as abnormal or unexpected behavior
which deviates from majority of users. Due to popularity of social networking sites such as …

In this study, we introduce a novel real-time approach for detecting abnormal behaviors in
online social networks, leveraging both dynamic user activities and their associated profiles …

In just a few years, social networking sites have become the most popular landmarks on the
Internet. They revolutionized the way we communicate, and socialized the Web. However …

Online social networks have gained much attention in the recent years in terms of their
analysis for usage as well as detection of abnormal activities. Anomalous activities arise …

The increasing popularity of online social networks in different domains, have made
convenient platforms for people to share, communicate, and collaborate with each other …