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The Distribution Characteristics and Influencing Factors of Global Armed Conflict Clusters

文献类型：期刊论文

作者Hao, Mengmeng1,3; Ma, Shijia1,3; Jiang, Dong1,3; Ding, Fangyu1,3; Chen, Shuai1,3; Zhuo, Jun1,3; Wu, Genan2; Dong, Jiping1,3; Wu, Jiajie1,3
刊名SYSTEMS
出版日期2025-08-07
卷号13期号:8页码:670
关键词armed conflict clusters dynamic community detection interpretable machine learning driving factors spatial heterogeneity
DOI10.3390/systems13080670
产权排序1
文献子类Article
英文摘要Understanding the spatial dynamics and drivers of armed conflict is crucial for anticipating risk and informing targeted interventions. However, current research rarely considers the spatio-temporal clustering characteristics of armed conflicts. Here, we assess the distribution dynamics and driving factors of armed conflict from the perspective of armed conflict clusters, employing complex network dynamic community detection methods and interpretable machine learning approaches. The results show that conflict clusters vary in terms of regional distribution. Sub-Saharan Africa boasts the highest number of conflict clusters, accounting for 37.9% of the global total and covering 40.4% of the total cluster area. In contrast, South Asia and Afghanistan, despite having a smaller proportion of clusters at 12.1%, hold the second-largest cluster area, which is 18.1% of the total. The characteristics of different conflict networks are influenced by different factors. Historical exposure, socio-economic deprivation, and spatial structure are the primary determinants of conflict patterns, while climatic variables contribute less prominently as part of a broader system of environmental vulnerability. Moreover, the influence of driving factors shows spatial heterogeneity. By integrating cluster-level analysis with interpretable machine learning, this study offers a novel perspective for understanding the multidimensional characteristics of armed conflicts.
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WOS关键词CLIMATE-CHANGE ; CIVIL-WAR ; NATURAL DISASTERS ; VIOLENCE ; VARIABILITY ; DIFFUSION ; ETHNICITY ; DURATION ; ECONOMY ; RISK
WOS研究方向Social Sciences - Other Topics
语种英语
WOS记录号WOS:001558283500001
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/216115]  
专题资源利用与环境修复重点实验室_外文论文
通讯作者Dong, Jiping; Wu, Jiajie
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;
2.China Acad Space Technol, Inst Spacecraft Applicat Syst Engn, Beijing 100094, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
推荐引用方式
GB/T 7714		 Hao, Mengmeng,Ma, Shijia,Jiang, Dong,et al. The Distribution Characteristics and Influencing Factors of Global Armed Conflict Clusters[J]. SYSTEMS,2025,13(8):670.
APA Hao, Mengmeng.,Ma, Shijia.,Jiang, Dong.,Ding, Fangyu.,Chen, Shuai.,...&Wu, Jiajie.(2025).The Distribution Characteristics and Influencing Factors of Global Armed Conflict Clusters.SYSTEMS,13(8),670.
MLA Hao, Mengmeng,et al."The Distribution Characteristics and Influencing Factors of Global Armed Conflict Clusters".SYSTEMS 13.8(2025):670.

入库方式： OAI收割

来源：地理科学与资源研究所

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