Social network analysis (SNA) is a framework used to study the structure of societies. As an umbrella term that encompasses various tools of graph theory and mathematical models to visualize networks, SNA allows researchers to detect and quantify patterns in social networks. Within SNA, individuals are not independent, but are symbiotic or linked with one another in a network. Given its powerfu...

Performing social network analysis (SNA) requires a set of powerful techniques to analyze structural information contained in interactions between social entities. Many SNA technologies and methodologies have been developed and have successfully provided significant insights for small-scale interactions. However, these techniques are not suitable for analyzing large social networks, which are v...

Social networks have known an important development since the appearance of web 2.0 platforms. This leads to a growing need for social network mining and social network analysis (SNA) methods and tools in order to provide deeper analysis of the network but also to detect communities in view of various applications. For this reason, a lot of works have focused on graph characterization or cluste...

Social Network Analysis (SNA) is a set of research procedures for identifying group of people who share common structures in systems based on the relations among actors. Grounded in graph and system theories, this approach has proven to be powerful measures for studying networks in various industries like Telecommunication, banking, physics and social world, including on the web. Since Telecomm...

Social Network Analysis (SNA) (Scott 1992) is the analysis of network data gathered in a social context. It has been used to examine social phenomena in such diverse areas as local communities, international organizations and sporting clubs. However, while the data collected by Social Network Analysts is eminently computable it has taken until relatively recently for SNA to make it’s way into t...

Traces of activity left by social media users can shed light on individual behavior, social relationships, and community efficacy. Tools and processes to analyze social traces are essential for enabling practitioners to study and nurture meaningful and sustainable social interaction. Yet such tools and processes remain in their infancy. We conducted a study of 15 graduate students who were lear...

BACKGROUND Collaborative learning facilitates reflection, diversifies understanding and stimulates skills of critical and higher-order thinking. Although the benefits of collaborative learning have long been recognized, it is still rarely studied by social network analysis (SNA) in medical education, and the relationship of parameters that can be obtained via SNA with students' performance rema...