activity
20052013
most citedModularity and community detection in bipartite networks

786 citations · 1.6k across the 13 of their papers we have counts for

collaborators

13 papers

physics.soc-ph2013★ 1 cited

Detecting hierarchical and overlapping network communities using locally optimal modularity changes

Michael J. Barber

Agglomerative clustering is a well established strategy for identifying communities in networks. Communities are successively merged into larger communities, coarsening a network o…

physics.data-an2010★ 1 cited

NetzCope: A Tool for Displaying and Analyzing Complex Networks

Michael J. Barber, Ludwig Streit, Oleg Strogan

Networks are a natural and popular mechanism for the representation and investigation of a broad class of systems. But extracting information from a network can present significant…

physics.soc-ph2010★ 182 cited

Distinct spatial characteristics of industrial and public research collaborations: Evidence from the 5th EU Framework Programme

Thomas Scherngell, Michael J. Barber

This study compares the spatial characteristics of industrial R&D networks to those of public research R&D networks (i.e. universities and research organisations). The objective is…

physics.soc-ph2010★ 180 cited

Spatial Interaction Modelling of Cross-Region R&D Collaborations: Empirical Evidence from the 5th EU Framework Programme

Thomas Scherngell, Michael J. Barber

The last few years have witnessed an increasing interest in the geography of innovation. As noted by Autant-Bernard et al. (2007a), the geographical dimension of innovation deserve…

physics.soc-ph2010

Spatial Interaction Modelling of Cross-Region R&D Collaborations Empirical Evidence from the EU Framework Programmes

Thomas Scherngell, Michael Barber

The focus of this study is on cross-region R&D collaboration networks in the EU Framework Programmes (FP's). In contrast to most other empirical studies in this field, we shift att…

physics.soc-ph2010

Analyzing and modeling European R&D collaborations: Challenges and opportunities from a large social network

Michael J. Barber, Manfred Paier, Thomas Scherngell

Networks have attracted a burst of attention in the last decade, with applications to natural, social, and technological systems. While networks provide a powerful abstraction for…