Cybercriminals exploit the opportunities provided by the information revolution and social
media to communicate and conduct underground illicit activities, such as online fraudulence …

In the era of big data, collaborative tagging (aka folksonomy) systems have proliferated as a
consequence of the growth of Web 2.0 communities. Constructing user profiles from …

Due to the significant increase of communications between individuals via social media
(Facebook, Twitter, Linkedin) or electronic formats (email, web, e-publication) in the past two …

Digital data collected for forensics analysis often contain valuable information about the
suspects' social networks. However, most collected records are in the form of unstructured …

Aesthetic tendency discovery is a useful and interesting application in social media. In this
paper we propose to categorize large-scale Flickr users into multiple circles, each …

Textual information exchanged among users on online social network platforms provides
deep understanding into users' interest and behavioral patterns. However, unlike traditional …

In this paper we address the problem of detecting topics in large-scale linked document
collections. Recently, topic detection has become a very active area of research due to its …

Complex networks exist in a wide array of diverse domains, ranging from biology, sociology,
and computer science. These real-world networks, while disparate in nature, often comprise …

This paper proposes an unsupervised method for automatic identification of spammers in a
social network. In our approach, we first investigate the link structure of the network in order …

Research topics and research communities are not disconnected from each other:
communities and topics are interwoven and co-evolving. Yet, scientometric evaluations of …