Over four billion people are currently unconnected to the Internet, including around a billion individuals who do not have access to basic telephony services. The IGF Dynamic Coalition on Community Connectivity (DC3) ...

The problem of community detection is relevant in many disciplines of science. A community is usually defined, in a qualitative way, as a subset of nodes of a network which are more connected among themselves than to the ...

Many complex systems can be described as networks exhibiting inner organization as communities of nodes. The identification of communities is a key factor to understand community-based functionality. We propose a family ...

This paper argues that existing examples of Community Networks (CNs) provide a solid evidence-base on which a right to “network self-determination” can be constructed. Network selfdetermination should be seen as the right ...

Investigations of networked public spheres often examine the structures of online platforms by studying users’ interactions. These works suggest that users’ interactions can lead to cyberbalkanization when interlocutors ...

A prominent feature of complex networks is the appearance of communities, also known as modular structures. Specifically, communities are groups of nodes that are densely connected among each other but connect sparsely ...

This book is the Official 2017 Outcome of the UN IGF Dynamic Coalition on Community Connectivity (DC3). DC3 is a multistakeholder group, fostering a cooperative analysis of the community network model, exploring how community ...

Finding communities in networks is a commonly used form of network analysis. There is a myriad of community detection algorithms in the literature to perform this task. In spite of that, the number of community detection ...