Phishing has become an increasing threat in online space, largely driven by the evolving
web, mobile, and social networking technologies. Previous phishing taxonomies have …

Social sequence analysis includes a diverse and rapidly growing body of methods that
social scientists have developed to help study complex ordered social processes, including …

The increasing popularity of Web 2.0 has led to exponential growth of user-generated
content in both volume and significance. One important type of user-generated content is the …

Social media is fundamentally changing the way people communicate, consume and
collaborate. It provides companies a new platform to interact with their customers. In …

The discovery of evolving communities in dynamic networks is an important research topic
that poses challenging tasks. Evolutionary clustering is a recent framework for clustering …

Mining communities or clusters in networks is valuable in analyzing, designing, and
optimizing many natural and engineering complex systems, eg, protein networks, power …

Discovering evolving communities in dynamic networks is essential to important applications
such as analysis for dynamic web content and disease progression. Evolutionary clustering …

With the pervasive availability of Web 2.0 and social networking sites, people can interact
with each other easily through various social media. For instance, popular sites like Del. icio …

Community detection is of great importance for online social network analysis. The volume,
variety and velocity of data generated by today's online social networks are advancing the …

For a long time, PageRank has been widely used for authority computation and has been
adopted as a solid baseline for evaluating social influence related applications. However …