A local cohesion-maximising algorithm for the exploration of publication networks

The dominant approach to the reconstruction of scientific topics is the application of global community detection algorithms. Some of the properties of these algorithms, however, collide with the sociological discussion on topics. We present here for consideration a new local bibliometric algorithm that is in line with sociological definitions of topics and which reconstructs dense regions in bibliometric networks locally.