Discovering communities based on mention distance
- 6 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Scientometrics
- Vol. 126 (3), 1945-1967
- https://doi.org/10.1007/s11192-021-03863-9
Abstract
No abstract availableFunding Information
- National Key Research and Development Project (2016QY04W0901)
- Foundation of the State Key Laboratory of Software Development Environment (SKLSDE-2017ZX-03)
- Basic Research Project of Military Commission of Science and Technology (2017-JCJQ-ZD-043-04)
- Research Foundation of the Beijing Information Science and Technology University (2035015)
- CNCERT Key Foundation for Youths (2020Q08)
This publication has 48 references indexed in Scilit:
- Defining and evaluating network communities based on ground-truthKnowledge and Information Systems, 2013
- Spectral clustering and the high-dimensional stochastic blockmodelThe Annals of Statistics, 2011
- Finding Statistically Significant Communities in NetworksPLOS ONE, 2011
- Finding overlapping communities in networks by label propagationNew Journal of Physics, 2010
- Fast unfolding of communities in large networksJournal of Statistical Mechanics: Theory and Experiment, 2008
- Analysis of the structure of complex networks at different resolution levelsNew Journal of Physics, 2008
- Information extraction from research papers using conditional random fieldsInformation Processing & Management, 2006
- Modularity and community structure in networksProceedings of the National Academy of Sciences of the United States of America, 2006
- Community detection in complex networks using extremal optimizationPhysical Review E, 2005
- Fast algorithm for detecting community structure in networksPhysical Review E, 2004