墨西哥的暴力模式分析：一个复杂的时间网络方法

IF 1.7 4区工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Complexity Pub Date : 2025-05-30 DOI:10.1155/cplx/4454714

Edwin Montes-Orozco, Roman-Anselmo Mora-Gutiérrez, Roberto Bernal-Jaquez, Daniela Aguirre-Guerrero

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引用次数: 0

摘要

墨西哥的暴力对公共安全和社会稳定构成重大挑战，需要对其时间动态有全面的了解。本研究使用复杂的时间网络方法来分析各城市的暴力模式，重点关注杀人、性侵犯、歧视和武装抢劫等犯罪。利用跨越6年（2015-2021）的数据，本研究构建了时间网络，以发现暴力的基本模式和趋势。然后，使用先进的网络分析技术，包括鲁棒性评估和影响量化，在暴力网络中确定了关键的有影响力的城市。本研究的结果可以提供有价值的信息，以开展具体的干预措施和资源分配战略，以改善墨西哥的公共安全。

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Analysis of Violence Patterns in Mexico: A Complex Temporal Networks Approach

Violence in Mexico presents a significant challenge to public safety and social stability and requires a comprehensive understanding of its temporal dynamics. This study uses a complex temporal networks approach to analyze patterns of violence across municipalities, focusing on crimes such as homicide, sexual assault, discrimination, and armed robbery. Using data spanning 6 years (2015–2021), this study builds temporal networks to find fundamental patterns and trends in violence. Then, using advanced network analysis techniques, including robustness assessment and influence quantification, key influential municipalities were identified within the violence network. The findings of this research can offer valuable information to carry out specific interventions and resource allocation strategies to improve public safety in Mexico.

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来源期刊

Complexity 综合性期刊-数学跨学科应用

CiteScore

5.80

自引率

4.30%

发文量

595

审稿时长

>12 weeks

期刊介绍： Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.