Abstract The group-based violence intervention model is predicated on the assumption that individuals who hear credible messages of consequences for further violence will deliver the message to other group members. Using social network analysis, we develop an algorithm of who should receive the message to maximize the spread of the message among the remaining group members. Using a sample of gangs in four different cities we show how the reach of actual call-ins were suboptimal compared to our suggested algorithm. Using simulations, we further show that typically only around a third of the group needs to be delivered the message to achieve complete coverage of the network. We find that even when limiting possible invitees to those under supervision large proportions of groups can be reached if the invitee list is data driven.

中文翻译：

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选择代表在团体暴力干预中传达信息

摘要基于团体的暴力干预模型是基于这样的假设，即听到可信的进一步暴力后果信息的个人会将信息传递给其他团体成员。使用社交网络分析，我们开发了一种算法，确定谁应该接收消息，以最大程度地在其余组成员之间传播消息。通过使用四个不同城市的帮派样本，我们展示了与我们建议的算法相比，实际呼梯的范围不是最理想的。使用模拟，我们进一步表明，通常只需要传递该组中大约三分之一的消息即可实现对网络的完全覆盖。我们发现，即使受邀者列表是数据驱动的，即使将可能的受邀者限制为受监督者，也可以达到很大比例的团体。