Community discovery in social networks via heterogeneous link association and fusion
Discovering social communities of web users through clustering analysis of heterogeneous link associations has drawn much attention. However, existing approaches typically require the number of clusters a prior, do not address the weighting problem for fusing heterogeneous types of links and have a...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2014
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6566 https://ink.library.smu.edu.sg/context/sis_research/article/7569/viewcontent/Community_Discovery_via_GHF_ART___SDM_2014.pdf |
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| Institution: | Singapore Management University |
| Language: | English |