The Impact of Quality Metrics on Communities Detected in Complex Networks
October 19, 2016
2:00 pm - 5:30 pm
Hall C
Track: General
Type: Posters
Level: All
The majority of commonly-used algorithms for detecting communities in complex networks optimize a metric known as modularity. We examine the quality of the communities computed by the Louvain and CNM algorithms when modularity is replaced by other quality metrics such as coverage, performance, and the silhouette index.
Speaker(s)
| , Student, Pomona College
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