论文标题
作为复杂网络的叛乱：库尔德工人党的图像共同出现和层次结构
Insurgency as Complex Network: Image Co-Appearance and Hierarchy in the PKK
论文作者
论文摘要
尽管人们对叛乱团体结构对冲突结果的重要性越来越多，但那里的实证研究很少。尽管此问题源于激进群体结构的数据的无法访问，但叛乱分子经常在Internet上发布大量图像数据。在本文中，我开发了一种新的方法，该方法通过自动化基于在照片中使用深度学习的照片来创建社交网络图来利用这种丰富但未充分利用的数据来源。我使用库尔德人武装组织在土耳其的库尔德人激进组织在线发布的1915张ob告图像，我证明了个人在由此产生的共同出现网络中的中心地位与他们在叛乱小组中的排名密切相关。
Despite a growing recognition of the importance of insurgent group structure on conflict outcomes, there is very little empirical research thereon. Though this problem is rooted in the inaccessibility of data on militant group structure, insurgents frequently publish large volumes of image data on the internet. In this paper, I develop a new methodology that leverages this abundant but underutilized source of data by automating the creation of a social network graph based on co-appearance in photographs using deep learning. Using a trove of 19,115 obituary images published online by the PKK, a Kurdish militant group in Turkey, I demonstrate that an individual's centrality in the resulting co-appearance network is closely correlated with their rank in the insurgent group.
