Header

UZH-Logo

Maintenance Infos

Hierarchical benchmark graphs for testing community detection algorithms


Yang, Zhao; Perotti, Juan I; Tessone, Claudio J (2017). Hierarchical benchmark graphs for testing community detection algorithms. Physical review. E, Statistical, nonlinear, and soft matter physics, 96(5):052311.

Statistics

Citations

Dimensions.ai Metrics
3 citations in Web of Science®
3 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

75 downloads since deposited on 19 Dec 2017
44 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Business Administration
08 Research Priority Programs > Social Networks
Dewey Decimal Classification:330 Economics
Scopus Subject Areas:Physical Sciences > Statistical and Nonlinear Physics
Physical Sciences > Statistics and Probability
Physical Sciences > Condensed Matter Physics
Language:English
Date:14 November 2017
Deposited On:19 Dec 2017 14:12
Last Modified:08 Apr 2020 22:11
Publisher:American Physical Society
ISSN:1539-3755
OA Status:Green
Publisher DOI:https://doi.org/10.1103/PhysRevE.96.052311
Other Identification Number:merlin-id:15507

Download

Green Open Access

Download PDF  'Hierarchical benchmark graphs for testing community detection algorithms'.
Preview
Content: Published Version
Filetype: PDF
Size: 10MB
View at publisher