Social learning network analysis has drawn attention for most researcher on e-learning research domain. This is due to the fact that it has the capability to identify the behavior of student during their social interaction inside e-learning. Normally, the social network analysis (SNA) is treating the students' interaction merely as node and edge with less meaning. This paper focuses on providin...

To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students' interactions in online collaboration. However, research in education has only ...

Studying networked learning (NL) by applying social network analysis (SNA), has gained popularity in recent years. However, it appears that in the context of networked learning the choice of SNA indices is very often dictated by using easily achievable SNA tools. Most studies in this field only involve a single group of students and utilize simple indices, such as density and Freeman's degree c...

Social network analysis (SNA) is increasingly applied to analyze existing knowledge exchange processes in companies. In the past, these processes were mainly analyzed by traditional business process modeling methods. Same of these methods are working with a specific knowledge perspective, e.g. KMDL (Knowledge Modeling and Description Language). The knowledge needs and demands are modeled along ...

This paper presents strategies for speeding up calculation of graph metrics and layout by exploiting the parallel architecture of modern day Graphics Processing Units (GPU), specifically Compute Unified Device Architecture (CUDA) by Nvidia. Graph centrality metrics like Eigenvector, Betweenness, Page Rank and layout algorithms like Fruchterman-Rheingold are essential components of Social Networ...

Nowadays, the popularity of social networks as marketing tools has brought a deal of attention to social networks analysis (SNA). One of the well-known Problems in this field is influence maximization problems which related to flow of information within networks. Although, the problem have been considered by many researchers, the concept behind of this problem has been used less in business con...

The focus of Higher Education (HE) in the present scenario is global based and it has been growing appreciably facing challenges in the process of evolving as a commercial one. This global approach has created an awareness amongst HE institutions to revamp their methodologies in teaching and related issues. In the recent days, Information and Communication Technology (ICT) education is followed...

Social interactions between students are a major and underexplored part of undergraduate education. Understanding how learning relationships form in undergraduate classrooms, as well as the impacts these relationships have on learning outcomes, can inform educators in unique ways and improve educational reform. Social network analysis (SNA) provides the necessary tool kit for investigating ques...

Network analysis, especially as it has been understood in relation to the specific methodological approaches of Social Network Analysis (SNA), is not a tool that is naturally employed by interpretive sociologists, social constructionists or symbolic interactionists. To state it simply, SNA focuses on the presence of connections between people and the structural dimensions of relations whereas S...

It may become advantageous to keep human-managed animals in the social network groups to which they have adapted. Data concerning the social networks of farm animal species and their ancestors are scarce but essential to establishing the importance of a natural social network for farmed animal species. Social Network Analysis (SNA) facilitates the characterization of social networking at group,...