Networks as Learning Communities

Detecting Overlapping Communities in Social Networks using Deep Learning

In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...

Blended Learning Communities: Relational and Identity Networks

The integration of computer mediated and face to face communication has been recently implemented in numerous educational and professional contexts to create blended learning communities (Bonk & Graham, 2006; Ligorio, Cacciamani & Cesareni, 2006; Ligorio & Sansone, 2009) that improve learning processes through participation, sustaining a sense of belonging and the subsequent identity constructi...

Communities of practice , social learning and networks :

Analysis of FLOSS Communities as Learning Contexts

It can be argued that participating in free/libre open source software (FLOSS) projects can have a positive effect in the contributor's learning process. The need collaborate with other contributors and contribute to the project can motivate and implicitly foster learning. In order to validate this assess 1) study the interactions between FLOSS projects participants, and 2) the didactical value...

Networks of Excellence as Virtual Communities

in relation to the learning process in 1991 by Jean Lave and Etienne Wenger (1991) at the Institute for Research on Learning as part of an attempt to “rethink learning.” In 1998, Wenger extended this concept and applied it to other contexts, including organizational settings (Wenger, 1998). Around 1991, Nonaka began to present his theories of knowledge management to explain the role of knowledg...