Objective. The purpose of this work is to analyse the knowledge structure and trends in scientific research in the Online Information Reviews journal by bibliometric analysis of key words and social network analysis of co-words. Methods.

This paper reports on the University of Waterloo experience with the Legal Learning track where three different methods were used to approach the retrieval task. Two are based on previously used methods and the last is a novel method based on modifying the responsiveness probability using social network analysis.

This paper presents an analytical approach to support organisational learning in terms of the evolution of a scientific community based on a combination of social network analysis and semantic relations. The primary and direct target of the method is to infer hidden or desirable links between subgroups in a networked community. The data source for these inferences comprises memberships in teams...

Leaders do not operate in social vacuums, but are imbedded in a web of interpersonal relationships with their teammates and coach. The present manuscript is the first to use social network analysis to provide more insight in the leadership structure within sports teams. Two studies were conducted, including respectively 25 teams (N = 308; Mage = 24.9 years old) and 21 teams (N = 267; Mage = 24....

In the last five years, learning analytics has proved its potential in predicting academic performance based on trace data of learning activities. However, the role of pedagogical context in learning analytics has not been fully understood. To date, it has been difficult to quantify learning in a way that can be measured and compared. By coding the design of e-learning courses, this study demon...

This study extends meeting research by applying social network analysis to meeting leaders’ behavior in actual, videotaped meetings (N = 46) and examining the position of meeting leaders in the meeting network. Analyses reveal that meeting leaders are key players in meetings taking on the roles of central actor, broker, and elicitor. The role of central actor is linked to the number of planned ...

We analyze the coauthorship production of the AAEP Annual Meeting since 1964. We use social network analysis for creating coauthorship networks and given that any paper must be tagged with two JEL codes, we use this information for also structuring a thematic network. Then we calculate network metrics and find main actors and clusters for coauthors and topics. We distinguish a gender gap in the...