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Titlebook: Computational Data and Social Networks; 11th International C Thang N. Dinh,Minming Li Conference proceedings 2023 The Editor(s) (if applica

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樓主: invoke
11#
發(fā)表于 2025-3-23 10:01:36 | 只看該作者
12#
發(fā)表于 2025-3-23 14:51:37 | 只看該作者
Targeted Attack of?the?Air Transportation Network Global Component Results show that the degree-based attack on the global component is more effective than the classical attack on the entire network. In contrast, the classical Betweenness attack slightly outperforms the Betweenness attack on the global component. However, the latter is more efficient.
13#
發(fā)表于 2025-3-23 20:13:49 | 只看該作者
Conference proceedings 2023Virtual Event, during December 5–7, 2022.?The 17 full papers and 7 short papers included in this book were carefully reviewed and selected from 47 submissions. They were organized in topical sections as follows:?Machine Learning and Prediction,?Security and Blockchain,?Fact-checking, Fake News, and
14#
發(fā)表于 2025-3-24 00:43:52 | 只看該作者
We will fight them on the Beachesve experiments are conducted on thirteen real networks originating from diverse domains. The experimental results indicate that the proposed index improves the prediction accuracy measured by AUC and has achieved a competitive result on Precision compared to the existing state-of-the-art link prediction methods.
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發(fā)表于 2025-3-24 05:26:25 | 只看該作者
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發(fā)表于 2025-3-24 07:06:34 | 只看該作者
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發(fā)表于 2025-3-24 11:32:16 | 只看該作者
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發(fā)表于 2025-3-24 17:18:59 | 只看該作者
Link Prediction of?Complex Networks Based on?Local Path and?Closeness Centralityve experiments are conducted on thirteen real networks originating from diverse domains. The experimental results indicate that the proposed index improves the prediction accuracy measured by AUC and has achieved a competitive result on Precision compared to the existing state-of-the-art link prediction methods.
19#
發(fā)表于 2025-3-24 21:52:41 | 只看該作者
20#
發(fā)表于 2025-3-25 01:38:59 | 只看該作者
Do Content Management Systems Impact the?Security of?Free Content Websites? Moreover, we find that, despite the significant number of custom code websites, the use of CMS’s is pervasive, with varying trends across types and categories. Finally, we find that even a small number of unpatched vulnerabilities in popular CMS’s could be a potential cause for significant maliciousness.
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