通过持续的批量清除来破坏网络:西西里黑手党的案例
Mingshan Jia1, Pasquale De Meo2, Bogdan Gabrys1
1School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia.
PloS one
|August 21, 2024
概括
我们制定了一项新策略,通过专注于最大的连接组件来破坏犯罪网络. 这种方法增强了基于程度的方法,并且在网络中断方面超过了当前最先进的方法.
科学领域:
- 网络科学 网络科学
- 计算社会科学 计算社会科学
- 犯罪网络分析 犯罪网络分析
背景情况:
- 了解复杂网络的稳定性对于基础设施保护,疫情控制,网络安全和预防犯罪至关重要.
- 破坏犯罪网络是打击有组织犯罪的一个关键挑战.
研究的目的:
- 提出和评估一项针对犯罪网络的新型网络破坏战略.
- 提高复杂网络中中断过程的有效性和效率.
主要方法:
- 在连续批量清除过程中,强加最大连接组件内的约束.
- 在西西里黑手党网络数据集上尝试破坏策略.
- 开发一个结构性过的贪破坏策略.
主要成果:
- 最大的连接组件约束增强了基于程度的干扰方法,同时削弱了基于间接性的方法.
- 拟议的结构性过的贪战略显著超过了中间中心性.
- 新策略保持与现有方法相同的时间复杂性.
结论:
- 拟议的破坏策略为拆除犯罪网络提供了更有效和高效的方法.
- 网络结构和组件分析对于优化中断策略至关重要.
- 这项研究为执法和网络安全机构提供了宝贵的见解.
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