Interest communities and flow roles in directed networks: the Twitter network of the UK riots.

ABSTRACT: Directionality is a crucial ingredient in many complex networks in which information, energy or influence are transmitted. In such directed networks, analysing flows (and not only the strength of connections) is crucial to reveal important features of the network that might go undetected if the orientation of connections is ignored. We showcase here a flow-based approach for community detection through the study of the network of the most influential Twitter users during the 2011 riots in England. Firstly, we use directed Markov Stability to extract descriptions of the network at different levels of coarseness in terms of interest communities, i.e. groups of nodes within which flows of information are contained and reinforced. Such interest communities reveal user groupings according to lo

SUBMITTER: Beguerisse-Diaz M 

PROVIDER: S-EPMC4223916 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature