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AbstractThe analysis of multilayer networks is among the most active areas of network science, and there are several methods to detect dense "communities" of nodes in multilayer networks. One way to define a community is as a set of nodes that trap a diffusion-like dynamical process (usually a random walk) for a long time. In this view, communities are sets of nodes that create bottlenecks to the spreading of a dynamical process on a network. We analyze the local behavior of different random walks on multiplex networks (which are multilayer networks in which different layers correspond to different types of edges) and show that they have very different bottlenecks, which correspond to rather different notions of what it means for a set of nodes to be a good community. This has direct implications for the behavior of community-detection methods that are based on these random walks.

Community Practice in the Network Society looks at the broad context in which this is happening, presents case studies of local projects from around the world, and discusses community ICT research methodologies.

AbstractIn this paper, we develop a formal framework for what a good community should look like and how strong a community is (community strength). One of the key innovations is to incorporate the concept of relative centrality into structural analysis of networks. In our framework, relative centrality is a measure that measures how important a set of nodes in a network is with respect to another set of nodes, and it is a generalization of centrality. Building on top of relative centrality, the community strength for a set of nodes is measured by the difference between its relative centrality with respect to itself and its centrality. A community is then a set of nodes with a nonnegative community strength. We show that our community strength is related to conductance that is commonly used for measuring the strength of a small community. We define the modularity for a partition of a network as the average community strength for a randomly selected node. Such a definition generalizes the original Newman's modularity and recovers the stability in as special cases. For the local community detection problem, we also develop efficient agglomerative algorithms that guarantee the community strength of the detected local community.

Recent scholarship has suggested that cohesion at the neighbourhood level may not translate into greater cohesion for the broader community and may even have detrimental effects. Employing a sample from a recently developed 'new urbanist' community within a southern US city, the paper simultaneously explores the determinants of perceived cohesion with the local neighbourhood and with the broader community. It is found that there is indeed a positive relationship between the two in this sample. However, the determinants of the two differ: while both strong and weak informal ties in the neighbourhood increase perceived neighbourhood cohesion, only weak ties foster perceived cohesion with the broader community. No effect is found of residents' structural positions within local networks on perceived cohesion beyond the effect of strong and weak ties. The paper ends with a discussion of the implications of the findings for the broader literature viewing the effects of bridging and bonding social capital.

Using original research materials of in-depth interviews with community network development workers, multimedia and graphic designers, public authority managers, and a number of case studies (a Bangladeshi Electronic Village Hall, Manchester Multimedia and Networking Centre, the Manchester Community Information Network, and Virtual Manchester) this article traces out the views of interviewees on the trajectory of community and civic net provision in the city. Sources of discontent were found in: commodification of local civic nets, a prevalent middle-brow approach to web page design, the influence of 'cultural intermediaries' in and on publicly funded telematics and multimedia software development agencies, the impact of an entrepreneurial ethos in local authority policy formation, and pedagogic and patronizing attitudes towards local communities on the part of local area net development agencies. The article argues that, alongside structural corporate ICT power and the technological and scientific ICT R&D professions, these problems have a telling impact on the nature of civic and community net development. As well as criticism of the prevailing nature of city nets, the article more positively prompts a call to local authorities to adopt a form of 'critical regionalism' in order to put the control of civic nets back with the communities they are supposed primarily to be aimed at. This means empowering community ICT nodes, involving them directly in the development process, and moderating the impact of corporate ICT and cultural intermediaries within publicly funded ICT agencies. Given the renewed role for local governance in conditions of globalization such policies would aid the development of thriving and viable local community networks.

This paper examines features common to both policy analyses and community-power studies, focusing on the conceptualization of power, the boundary specification of the system, the content of relationships and the effects of institutional frameworks. Two community studies, `Altneustadt' and `Towertown', provide the empirical basis. The effects of the institutional frameworks on policy-domain networks and the relation between policy-domain networks and policy networks are analyzed empirically, with information relationships as the most important content of the networks. With regard to boundary specification, actors in issue-specific networks differ from the discussion partners of actors within the social system, depending on the phase in the political process. Both pluralistic approaches and structural aspects of the policy domains are analyzed. In theory, the different institutional conditions in the German and American communities lead one to expect differences that can, in fact, be demonstrated empirically.