: Identifying functional modules is believed to reveal most cellular processes. There have been many computational approaches to investigate the underlying biological structures [2...
Wireless network researchers are seriously starved for data about how real users, applications, and devices use real networks under real network conditions. CRAWDAD, a Community R...
We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection,...
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
We studied the evolution of an online innovation community and users’ interaction behavior through social network analysis to explore how to build an innovation community and ge...