Endogenous and exogenous effects in self‐exciting process models of terrorist activity

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-07-08 DOI:10.1111/stan.12347

Fabrizio Ruggeri, Michael D. Porter, Gentry White

引用次数: 0

Abstract

A model based on the cluster process representation of the self‐exciting process model is derived to allow for variation in the excitation effects for terrorist events in a self‐exciting or cluster process model. The model's derivation and implementation details are given and applied to data from the Global Terrorism Database (National Consortium for the Study of Terrorism and Responses to Terrorism (START), 2015) from 2000 to 2013. Results regarding the practical interpretation and implications for a theoretical model paralleling existing criminological theory are discussed.

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恐怖活动自激过程模型中的内生和外生效应

该模型基于自激过程模型的群集过程表示法，允许自激或群集过程模型中恐怖事件的激发效应发生变化。文中给出了该模型的推导和实施细节，并将其应用于 2000 年至 2013 年全球恐怖主义数据库（国家恐怖主义和恐怖主义对策研究联合会（START），2015 年）中的数据。讨论了与现有犯罪学理论并行的理论模型的实际解释和影响结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.