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摘要翻译：
对恐怖袭击的调查是一项时间紧迫的任务。调查人员只有有限的时间来诊断恐怖分子的组织背景，追查和逮捕拉线者，并采取行动防止或根除恐怖袭击。直观的界面可视化的情报数据集激发调查人员的经验和知识，并帮助他们在决策时立即采取有效的行动。本文提出了一种计算方法来分析攻击者集体行动的情报数据集，并将其可视化为社会网络图的形式，从而预测出拉线者隐藏的位置。
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英文标题：
《Intuitive visualization of the intelligence for the run-down of
terrorist wire-pullers》
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作者：
Yoshiharu Maeno, and Yukio Ohsawa
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最新提交年份：
2008
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
The investigation of the terrorist attack is a time-critical task. The investigators have a limited time window to diagnose the organizational background of the terrorists, to run down and arrest the wire-pullers, and to take an action to prevent or eradicate the terrorist attack. The intuitive interface to visualize the intelligence data set stimulates the investigators' experience and knowledge, and aids them in decision-making for an immediately effective action. This paper presents a computational method to analyze the intelligence data set on the collective actions of the perpetrators of the attack, and to visualize it into the form of a social network diagram which predicts the positions where the wire-pullers conceals themselves.
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PDF链接：
https://arxiv.org/pdf/0805.3972
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