Terrorism is a scourge of humanity. Thousands of people were killed by terrorists in the last years. To understand the structure, information flow and leadership in terrorist cells is a must for all societies to prevent future attacks. Network theory can help to model such cells and to identify leading members therein. This contribution uses the graph theoretical approach as a basis and enriches it by an entropy-driven knowledge processing. After presenting the theoretical concept two terrorist cells, the one of the Bali attack and the one of the 9/11 attack, are analysed. The results are compared to those of other methods. A preview on the application of weighted networks and multi-nets complements the new findings.

中文翻译：

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分析恐怖分子网络——熵驱动的方法

恐怖主义是人类的祸害。在过去的几年里，成千上万的人被恐怖分子杀害。了解恐怖组织的结构、信息流和领导力是所有社会都必须防止未来袭击的必要条件。网络理论可以帮助模拟这些细胞并识别其中的主要成员。该贡献使用图论方法作为基础，并通过熵驱动的知识处理来丰富它。在提出理论概念后，对巴厘岛袭击和 9/11 袭击这两个恐怖组织进行了分析。将结果与其他方法的结果进行比较。加权网络和多网络应用的预览补充了新发现。