The structure of the community is one of the important features of social networks. A community is a sub graph which nodes have a lot of connections to nodes of inside the community and have very few connections to nodes of outside the community. The objective of community detection is to separate groups or communities that are linked more closely. In fact, community detection is the clustering...

This paper proposes a context-based approach of social networks and virtual communities in the enterprise area. We point out that making context explicit it is possible to provide a global picture of the main aspects of social networks. A first result of this study is that the explicit consideration of contexts—especially shared contexts—could improve notably the collaborative-work processes in...

In this paper we define the development of a user from entry to churn as his lifecycle that can be divided into discrete stages of development known as lifecycle periods. Prior work has examined how social networking site users have developed along isolated dimensions using lexical information [2] and social connections in the context of telecommunications networks [6]. We unify such dimensions...

We use data on frequencies of bi-directional posts to define edges (or relationships) in two Facebook datasets and a Twitter dataset and use these to create ego-centric social networks. We explore the internal structure of these networks to determine whether they have the same kind of layered structure as has been found in offline face-to-face networks (which have a distinctively scaled structu...

This study investigated how online communities helped drive change in a three-year professional development programme for New Zealand teachers. The programme aimed to embed effective ICT-based teaching practices in schools, together with a student-centred approach that positioned the teacher’s role as a facilitator of learning. An unofficial blogging community, connecting three cluster-based on...

Community structure exists in many real-world networks and has been reported being related to several functional properties of the networks. The conventional approach was partitioning nodes into communities, while some recent studies start partitioning links instead of nodes to find overlapping communities of nodes efficiently. We extended the map equation method, which was originally developed...

Drawing on an ongoing longitudinal research study, we discuss problems in the development of five next generation community networking projects in central New York. The projects were funded under a state program to diffuse broadband technologies in economically depressed areas of the state. The networks are technologically complex and entail high costs for subscribers. The political economy of ...

The paper presents a discussion on the different approaches that the authors have found in learning settings respect to ICT platforms that support the educational activities. The authors discuss three different approaches in pursuing learning activities in real educational contexts. The considered approaches are different in the sense of the metaphor used. The approaches related to LMSs follow ...

Community detection is a growing field of interest in the area of Social Network applications. Many community detection methods and surveys have been introduced in recent years, with each such method being classified according to its algorithm type. This chapter presents an original survey on this topic, featuring a new approach based on both semantics and type of output. Semantics opens up new...