Science requires collaboration. In this paper, we investigate the feasibility of coupling current social networking techniques to science gateways to provide a scientific collabor...
In this paper we examine the relationship between emergent social network characteristics in a computer-supported collaborative learning course and locus of control. An emergent c...
Michael Stefanone, Jeffrey T. Hancock, Geri Gay, A...
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Since learning nowadays is conceptualized as a social system within communities of practice, the best way to learn is with others, in groups. In the past few years, there has been...
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...