Much research has enumerated potential benefits of online social network sites. Given the pervasiveness of these sites and the numbers of people that use them daily, both research and media tend to make the assumption that social network sites have become indispensible to their users. Based on the analysis of qualitative data from users of social network sites in Russia and Kazakhstan, this pap...

Social Network research relies on a variety of data-sources, depending on the problem-scenario and the questions which the research is trying to answer or inform. In this paper, we analyze some of the datasources indexed by the sizes of these data-sets and relating them back to the research question, which the data-set is used for. In carrying out such an exercise, our goal is to assign a confi...

Mining data produced by students involved in communication through forum-like tools can help revealing aspects of their communication. In this paper we propose an approach to the construction of models to highlight structural properties of learning groups based on a relational perspective (analysis of chains of references) and the use of Social Network Analysis techniques. These models can be u...

Inaccuracy of sociometric reports poses a serious challenge to social network analysis. Nevertheless, researchers continue to draw potentially misleading conclusions from flawed data. We consider two particular types of systematic error in measurement of network size: individuals over/underreporting others (expansiveness bias), and individuals being over/underreported by others (attractiveness ...

ABSTRACT The purpose of the present study was to analyze whether and how students working in the collaborative learning environment (Future Learning Environment, FLE2) were able to share their design process with the intended user of the product. We organized a collaborative design course in which six teams of first-year university-level textile students (N=24) solved an authentic and complex d...

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...