Web-based communities have become important places for people to seek and share expertise. We find that networks in these communities typically differ in their topology from other...
Abstract. In this paper, we use a qualitative approach to explore which design aspects an erecruiting platform requires so as to achieve active long-term participation of its users...
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applicat...
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...