Identifying influential nodes of global terrorism network: A comparison for skeleton network extraction
© 2019 Elsevier B.V. The inherent structure and substantial information on global terrorism network are often understood by identifying influential nodes. Recently, novel node identification methods are developed from different perspectives. Each of them has trade-offs and strengths. However, the al...
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Main Authors: | , , , , , |
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Format: | Journal |
Published: |
2020
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Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85077700485&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68450 |
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Institution: | Chiang Mai University |
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