Centrality-burst detection in social networks: An efficient approach for data stream
© 2014 IEEE. In large social networks, being able to identify the key members, or so called central members, is one of the most important issues. Such members could be a good starting point for further analyzing. For example, the key members' activities with regard to the targeted products coul...
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| Main Authors: | , , |
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| Format: | Conference Proceeding |
| Published: |
2018
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| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84946686844&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45206 |
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| Institution: | Chiang Mai University |