Extant research suggests that membership in crime networks explains vulnerability to violent crime victimization. Consequently, identifying deviant social networks and understanding their structure and individual members' role in them could provide insight into victimization risk. Identifying social networks may help tailor crime prevention strategies to mitigate victimization risks and dismantle deviant networks. Social network analysis (SNA) offers a particular means of comprehending and measuring such group-level structures and the roles that individuals play within them. When applied to research on crime and victimization, it could provide a foundation for developing precise, effective prevention, intervention, and suppression strategies. This study uses police data to examine whether individuals most central to a deviant social network are those who are most likely to become victims of violent crime, and which crime network roles are most likely to be associated with vulnerability to violent victimization. SNA of these data indicates that network individuals who are in a position to manage the flow of information in the network (betweenness centrality), regardless of their number of connections (degree centrality), are significantly more likely to be homicide and aggravated assault victims. Implications for police practice are discussed.

中文翻译：

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使用来自警方数据的社交网络分析预测暴力受害情况。

现有研究表明，犯罪网络的成员身份解释了暴力犯罪受害的脆弱性。因此，识别异常社交网络并了解其结构和个人成员在其中的作用可以提供对受害风险的洞察。识别社交网络可能有助于制定预防犯罪策略，以减轻受害风险并消除异常网络。社会网络分析 (SNA) 提供了一种特殊的方法来理解和衡量这种群体层次结构以及个人在其中所扮演的角色。当应用于犯罪和受害研究时，它可以为制定精确、有效的预防、干预和抑制策略提供基础。本研究使用警方数据来检查对异常社交网络最核心的个人是否最有可能成为暴力犯罪的受害者，以及哪些犯罪网络角色最有可能与暴力受害的脆弱性相关联。这些数据的 SNA 表明，能够管理网络中信息流（中介中心性）的网络个体，无论其连接数量（度中心性）如何，都更有可能成为凶杀和严重攻击受害者。讨论了对警察实践的影响。这些数据的 SNA 表明，能够管理网络中信息流（中介中心性）的网络个体，无论其连接数量（度中心性）如何，都更有可能成为凶杀和严重攻击受害者。讨论了对警察实践的影响。这些数据的 SNA 表明，能够管理网络中信息流（中介中心性）的网络个体，无论其连接数量（度中心性）如何，都更有可能成为凶杀和严重攻击受害者。讨论了对警察实践的影响。