With the rapid growth of user-created contents and wide use of community-based websites, content recommendation systems have attracted the attention of users. However, most recommendation systems have limitations in properly reflecting each user’s characteristics, and difficulty in recommending appropriate contents to users. Therefore, we propose a content recommendation method using Friend-Of-...

Social network analysis (SNA) helps us understand patterns of interaction between social entities. A number of SNA studies have shed light on the characteristics of research collaboration networks (RCNs). Especially, in the Clinical Translational Science Award (CTSA) community, SNA provides us a set of effective tools to quantitatively assess research collaborations and the impact of CTSA. Howe...

The social network analysis (SNA), branch of complex systems can be used in the construction of multiagent systems. This paper proposes a study of how social network analysis can assist in modeling multiagent systems, while addressing similarities and differences between the two theories. We built a prototype of multi-agent systems for resolution of tasks through the formation of teams of agent...

In: S. España, M. Ivanović, M. Savić (eds.): Proceedings of the CAiSE’16 Forum at the 28th International Conference on Advanced Information Systems Engineering, Ljubljana, Slovenia, 13-17.6.2016, published at http://ceur-ws.org Abstract. Companies are increasingly turning to Enterprise 2.0 technologies to harness collective intelligence for information management and analysis. In this context, ...

Information System (IS) implementations are a risky business with studies showing only a 16% 29% success rate. This research explores the use of social network analysis (SNA) to inform the creation of a Community of Practice (CoP) to support a Finance Management System implementation in a higher education organization. IS implementations can be equated to the diffusion of innovation. The succes...

This paper discusses the patterns of network dynamics within a multi-cultural online collaborative learning environment. It analyses the interaction of participants (both students and facilitators) within a discussion board that was established as part of a three-month online collaborative course. The study employs longitudinal probabilistic social network analysis (SNA) to identify the pattern...

In this article we employ Social Network Analysis (SNA) to study the performance of new product teams that are part of an international innovation network. We are interested in explaining why some teams are exceedingly innovative but not efficient, whereas others excel in efficiency but stumble on innovativeness. We compare two teams that are very similar in task, background and skill. Using SN...

BACKGROUND Teaching Scholars Programs are designed to enhance productivity and faculty retention. The formation of an increased network may be a facilitative mechanism. PURPOSES This study determined if participants increased their educational network and if the increase affected productivity. METHODS Researchers interviewed Teaching Scholars participants for pre- and postparticipation memb...

Abstract Social Network Analysis (SNA) provides tools to examine relationships between people. Text Mining (TM) allows capturing the text they produce in Web 2.0 applications, for example, however it neglects their social structure. This paper applies an approach to combine the two methods named “content-based SNA”. Using the R mailing lists, R-help and R-devel, we show how this combination can...