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

The dominant approach to the reconstruction of scientific topics in networks of publications is based on the application of global community detection algorithms. However, some properties of these algorithms are at odds with the sociological understanding of topics. We present for consideration a new local bibliometric algorithm which is in line with sociological definitions of topics and reconstructs dense regions in bibliometric networks locally.