Sensors (Basel) 2021 Jul 2;21(13). Epub 2021 Jul 2.
Faculty of Arts, Design and Architecture, School of Built Environment, The University of New South Wales, Sydney, NSW 2052, Australia.
Geo-social community detection over location-based social networks combining both location and social factors to generate useful computational results has attracted increasing interest from both industrial and academic communities. In this paper, we formulate a novel community model, termed (GSG), to enforce both spatial and social factors to generate significant computational patterns and to investigate the problem of community detection over location-based social networks. Specifically, GSG detection aims to extract all group-venue clusters, where users are similar to each other in the same group and they are located in a minimum covering circle (MCC) for which the radius is no greater than a distance threshold γ. Read More