Work

Communities in Networks

Year: 2009

Type: preprint

Abstract: We survey some of the concepts, methods, and applications of community detection, which has become an increasingly important area of network science. To help ease newcomers into the field, we provide a guide to available methodology and open problems, and discuss why scientists from diverse backgrounds are interested in these problems. As a running theme, we emphasize the connections of community detection to problems in statistical physics and computational optimization.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.0902.3788

Authors: Porter, Mason A., Onnela, Jukka-Pekka, Mucha, Peter J.

Institutions: University of Oxford, Harvard University, University of North Carolina at Chapel Hill

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1942910215

Cites: 104

Cited by: 516

Related to: 20