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首页> 外文会议>Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining >Understanding alliance and opposition among violent groups
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Understanding alliance and opposition among violent groups

机译：了解暴力团体之间的联盟和反对

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摘要

In many parts of the world there are complex, violent interactions among groups with widely varying agendas. Situational awareness is difficult because there is rarely a clear distinction between good and bad actors, and there are constantly shifting alliances and oppositions between groups. This makes it difficult for analysts to understand the ecosystem of a country and region; still more to conceive of helpful interventions. We show how to use a newly developed spectral graph embedding technique that allows social networks with edge weights that are positive (alliance) and negative (opposition) to be modelled. We show the practical application by applying the technique to countries in North-West Africa, where civil wars are commonplace and complex islamist insurgencies have been active in the past few decades. A sense of the differences among these countries becomes visible, as well as a picture of the interactions among the key groups within each country.
机译：在世界许多地方，议程各不相同的群体之间存在复杂的暴力互动。情境意识是困难的，因为好的和坏的演员之间很少有明显的区别，并且群体之间的联盟和反对派在不断变化。这使分析人员难以理解一个国家和地区的生态系统。还有更多构思有益的干预措施。我们展示了如何使用新开发的频谱图嵌入技术，该技术允许对具有正（联盟）和负（反对）边缘权重的社交网络进行建模。我们通过将该技术应用于西北非洲的国家来展示其实际应用，在过去的几十年中，内战屡见不鲜，复杂的伊斯兰叛乱活动一直很活跃。这些国家之间的差异感以及每个国家内部主要群体之间的互动情况一目了然。

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