A Parallel Approach to Detect Communities in Evolving Networks
Authors:
- 22 November 2018
- book chapter
- Published by Springer Nature
- p. 188-203
Abstract
No abstract availableKeywords
This publication has 41 references indexed in Scilit:
- Identifying overlapping communities as well as hubs and outliers via nonnegative matrix factorizationScientific Reports, 2013
- Community detection algorithms: A comparative analysisPhysical Review E, 2009
- Towards real-time community detection in large networksPhysical Review E, 2009
- Simple probabilistic algorithm for detecting community structurePhysical Review E, 2009
- Fast unfolding of communities in large networksJournal of Statistical Mechanics: Theory and Experiment, 2008
- Sequential algorithm for fast clique percolationPhysical Review E, 2008
- Maps of random walks on complex networks reveal community structureProceedings of the National Academy of Sciences, 2008
- Computational cluster validation in post-genomic data analysisBioinformatics, 2005
- Uncovering the overlapping community structure of complex networks in nature and societyNature, 2005
- Silhouettes: A graphical aid to the interpretation and validation of cluster analysisJournal of Computational and Applied Mathematics, 1987