Multislice modularity optimization in community detection and image segmentation
Because networks can be used to represent many complex systems, they have attracted considerable attention in physics, computer science, sociology, and many other disciplines. One of the most important areas of network science is the algorithmic detection of cohesive groups (i.e., "communities&...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
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2012
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| _version_ | 1797101077646016512 |
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| author | Hu, H Van Gennip, Y Hunter, B Bertozzi, A Porter, M |
| author_facet | Hu, H Van Gennip, Y Hunter, B Bertozzi, A Porter, M |
| author_sort | Hu, H |
| collection | OXFORD |
| description | Because networks can be used to represent many complex systems, they have attracted considerable attention in physics, computer science, sociology, and many other disciplines. One of the most important areas of network science is the algorithmic detection of cohesive groups (i.e., "communities") of nodes. In this paper, we algorithmically detect communities in social networks and image data by optimizing multislice modularity. A key advantage of modularity optimization is that it does not require prior knowledge of the number or sizes of communities, and it is capable of finding network partitions that are composed of communities of different sizes. By optimizing multislice modularity and subsequently calculating diagnostics on the resulting network partitions, it is thereby possible to obtain information about network structure across multiple system scales. We illustrate this method on data from both social networks and images, and we find that optimization of multislice modularity performs well on these two tasks without the need for extensive problem specific adaptation. However, improving the computational speed of this method remains a challenging open problem. © 2012 IEEE. |
| first_indexed | 2024-03-07T05:46:48Z |
| format | Journal article |
| id | oxford-uuid:e77df6a4-f309-4621-9351-45d4c7cdc66a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T05:46:48Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | oxford-uuid:e77df6a4-f309-4621-9351-45d4c7cdc66a2022-03-27T10:39:08ZMultislice modularity optimization in community detection and image segmentationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:e77df6a4-f309-4621-9351-45d4c7cdc66aEnglishSymplectic Elements at Oxford2012Hu, HVan Gennip, YHunter, BBertozzi, APorter, MBecause networks can be used to represent many complex systems, they have attracted considerable attention in physics, computer science, sociology, and many other disciplines. One of the most important areas of network science is the algorithmic detection of cohesive groups (i.e., "communities") of nodes. In this paper, we algorithmically detect communities in social networks and image data by optimizing multislice modularity. A key advantage of modularity optimization is that it does not require prior knowledge of the number or sizes of communities, and it is capable of finding network partitions that are composed of communities of different sizes. By optimizing multislice modularity and subsequently calculating diagnostics on the resulting network partitions, it is thereby possible to obtain information about network structure across multiple system scales. We illustrate this method on data from both social networks and images, and we find that optimization of multislice modularity performs well on these two tasks without the need for extensive problem specific adaptation. However, improving the computational speed of this method remains a challenging open problem. © 2012 IEEE. |
| spellingShingle | Hu, H Van Gennip, Y Hunter, B Bertozzi, A Porter, M Multislice modularity optimization in community detection and image segmentation |
| title | Multislice modularity optimization in community detection and image segmentation |
| title_full | Multislice modularity optimization in community detection and image segmentation |
| title_fullStr | Multislice modularity optimization in community detection and image segmentation |
| title_full_unstemmed | Multislice modularity optimization in community detection and image segmentation |
| title_short | Multislice modularity optimization in community detection and image segmentation |
| title_sort | multislice modularity optimization in community detection and image segmentation |
| work_keys_str_mv | AT huh multislicemodularityoptimizationincommunitydetectionandimagesegmentation AT vangennipy multislicemodularityoptimizationincommunitydetectionandimagesegmentation AT hunterb multislicemodularityoptimizationincommunitydetectionandimagesegmentation AT bertozzia multislicemodularityoptimizationincommunitydetectionandimagesegmentation AT porterm multislicemodularityoptimizationincommunitydetectionandimagesegmentation |