Sensing overlapping geospatial communities from human movements using graph affiliation generation models
Author:
Affiliation:
1. Technical University of Munich, Munich, Bavaria, Germany
2. University of Minnesota
Funder
the New Faculty Set-up Funding of College of Liberal Arts, University of Minnesota
the Faculty Interactive Research Program from Center for Urban and Regional Affairs
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3557918.3565862
Reference25 articles.
1. Pseudo-likelihood methods for community detection in large sparse networks
2. Fast unfolding of communities in large networks
3. Santo Fortunato . 2010. Community detection in graphs. Physics reports 486, 3--5 ( 2010 ), 75--174. Santo Fortunato. 2010. Community detection in graphs. Physics reports 486, 3--5 (2010), 75--174.
4. Overlapping community detection in labeled graphs
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