Critical Terrorist Organizations and Terrorist Organization Alliance Networks Based on Key Nodes Founding Article Swipe
Jun Hu
,
Chengbin Chu
,
Ling Xu
,
Peng Wu
,
Hui-jia Lia
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fphy.2021.687883
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fphy.2021.687883
The past years have witnessed increasingly widespread terrorism, violently destroying world peace and regional prosperity. Therefore, uncovering terrorist plots has become the most crucial step for eliminating terrorist attacks. However, with the terrorist scheme being disguised under the huge amount of data flow on the internet, identifying terrorist organizations still remains challenging. Since many terrorist organizations are prone to launch terrorist attacks together, here, we model their relationships as a Terrorist Organization Alliance (TOA) network and propose a novel method to identify the key terrorist organizations in the TOA network. The TOA network utilizes existing key nodes in order to extract useful information, and, with the help of the entropy weight method, the new solution to the TOA network is effective and precise. The experiments are performed on the dataset from the Global Terrorism Database, and the results are statistically validated through t-tests and convergence analysis. Compared with the traditional methods, our method is proven to be superior in terms of measure the harm of terrorist attack organizations and find the key terrorist organizations.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fphy.2021.687883
- https://www.frontiersin.org/articles/10.3389/fphy.2021.687883/pdf
- OA Status
- gold
- Cited By
- 4
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3191801936
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3191801936Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fphy.2021.687883Digital Object Identifier
- Title
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Critical Terrorist Organizations and Terrorist Organization Alliance Networks Based on Key Nodes FoundingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-08-09Full publication date if available
- Authors
-
Jun Hu, Chengbin Chu, Ling Xu, Peng Wu, Hui-jia LiaList of authors in order
- Landing page
-
https://doi.org/10.3389/fphy.2021.687883Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fphy.2021.687883/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fphy.2021.687883/pdfDirect OA link when available
- Concepts
-
Terrorism, Prosperity, Computer security, Key (lock), The Internet, Harm, Computer science, Political science, Law, World Wide WebTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2022: 3Per-year citation counts (last 5 years)
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26Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.our | 151 |
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| abstract_inverted_index.and, | 103 |
| abstract_inverted_index.data | 41 |
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| abstract_inverted_index.flow | 42 |
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| abstract_inverted_index.help | 106 |
| abstract_inverted_index.huge | 38 |
| abstract_inverted_index.many | 53 |
| abstract_inverted_index.most | 22 |
| abstract_inverted_index.past | 1 |
| abstract_inverted_index.step | 24 |
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| abstract_inverted_index.(TOA) | 73 |
| abstract_inverted_index.Since | 52 |
| abstract_inverted_index.being | 34 |
| abstract_inverted_index.here, | 63 |
| abstract_inverted_index.model | 65 |
| abstract_inverted_index.nodes | 96 |
| abstract_inverted_index.novel | 78 |
| abstract_inverted_index.order | 98 |
| abstract_inverted_index.peace | 11 |
| abstract_inverted_index.plots | 18 |
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| abstract_inverted_index.their | 66 |
| abstract_inverted_index.under | 36 |
| abstract_inverted_index.world | 10 |
| abstract_inverted_index.years | 2 |
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| abstract_inverted_index.amount | 39 |
| abstract_inverted_index.attack | 166 |
| abstract_inverted_index.become | 20 |
| abstract_inverted_index.launch | 59 |
| abstract_inverted_index.method | 79, 152 |
| abstract_inverted_index.proven | 154 |
| abstract_inverted_index.scheme | 33 |
| abstract_inverted_index.useful | 101 |
| abstract_inverted_index.weight | 110 |
| abstract_inverted_index.attacks | 61 |
| abstract_inverted_index.crucial | 23 |
| abstract_inverted_index.dataset | 129 |
| abstract_inverted_index.entropy | 109 |
| abstract_inverted_index.extract | 100 |
| abstract_inverted_index.measure | 161 |
| abstract_inverted_index.method, | 111 |
| abstract_inverted_index.network | 74, 92, 118 |
| abstract_inverted_index.propose | 76 |
| abstract_inverted_index.remains | 50 |
| abstract_inverted_index.results | 137 |
| abstract_inverted_index.t-tests | 142 |
| abstract_inverted_index.through | 141 |
| abstract_inverted_index.Alliance | 72 |
| abstract_inverted_index.Compared | 146 |
| abstract_inverted_index.However, | 29 |
| abstract_inverted_index.attacks. | 28 |
| abstract_inverted_index.existing | 94 |
| abstract_inverted_index.identify | 81 |
| abstract_inverted_index.methods, | 150 |
| abstract_inverted_index.network. | 89 |
| abstract_inverted_index.precise. | 122 |
| abstract_inverted_index.regional | 13 |
| abstract_inverted_index.solution | 114 |
| abstract_inverted_index.superior | 157 |
| abstract_inverted_index.utilizes | 93 |
| abstract_inverted_index.Database, | 134 |
| abstract_inverted_index.Terrorism | 133 |
| abstract_inverted_index.Terrorist | 70 |
| abstract_inverted_index.analysis. | 145 |
| abstract_inverted_index.disguised | 35 |
| abstract_inverted_index.effective | 120 |
| abstract_inverted_index.internet, | 45 |
| abstract_inverted_index.performed | 126 |
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| abstract_inverted_index.witnessed | 4 |
| abstract_inverted_index.Therefore, | 15 |
| abstract_inverted_index.destroying | 9 |
| abstract_inverted_index.terrorism, | 7 |
| abstract_inverted_index.uncovering | 16 |
| abstract_inverted_index.widespread | 6 |
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| abstract_inverted_index.prosperity. | 14 |
| abstract_inverted_index.traditional | 149 |
| abstract_inverted_index.Organization | 71 |
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| abstract_inverted_index.increasingly | 5 |
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| abstract_inverted_index.relationships | 67 |
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| abstract_inverted_index.organizations. | 173 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5024190612, https://openalex.org/A5075052887 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I139759216, https://openalex.org/I80947539 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.550000011920929 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.83594513 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |