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Networks of Power. Using Social Network Analysis to Understand Who Will Rule and Who is Really in Charge in an Authoritarian Regime. Theory, Method, and Application on Chinese Communist Elites (1982-2012).

机译:权力网络。使用社交网络分析来了解谁将统治和谁在专制政权中真正负责。中国共产党精英的理论,方法和应用(1982-2012)。

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Patronage networks are said to help elites advance into a regime's inner circle or lead to their downfall, as well as influence regime stability and other political outcomes. But researchers have only systematically studied individual patron-client ties instead of taking advantage of the tools provided by social network analysis (SNA). In three related papers, this dissertation evaluates the best method to measure patronage networks, develops a theory of coalition formation along them, and tests it on the members of the Chinese Communist Party's Central Committee from 1982 until 2012.;The first paper argues that informal politics is better conceptualized through networks than factions, and identifies and evaluates two common approaches to measure such networks: the inductive approach, which relies on a qualitative assessment of insider sources, and the deductive approach, which infers the network from publicly available data. The paper evaluates several commonly used approaches to deduce networks among Chinese political elites. Using methods and concepts developed in Social Network Analysis, it finds that coworker networks perform best in these tests, but can be further refined by noting the number of instances of working together, or by taking into account promotions that have occurred while the two individuals were coworkers.;The second paper develops a model in which one or two leaders form their coalitions along network ties connecting the relevant political elites, the selectorate. Simulations on random networks and real-life patronage networks among Chinese elites illustrate how all but the regular (lattice or complete) network lead to power differentials between the members of the selectorate. The model identifies three specific network positions: those that increase the chances of entering the winning coalition, those that enable coalition leaders to remain in charge of the coalition, and those that help a ruler fend off the opposition. It discusses their respective properties, and shows that powerful Chinese elites do indeed hold the corresponding positions. Furthermore, in a model with two competing leaders the network structure provides an endogenous explanation for winning coalition sizes smaller than the bare majority.;The third paper tests the theory on promotion networks - indicating who has been promoted under whom - among the Chinese Communist elite 1982-2012. A hazard analysis demonstrates that direct connections to patrons double the chance of being appointed to the Politburo. But links to current and former subordinates - unlike those to superiors - among the other elite also have a significant positive effect. Finally, network centrality measures can identify current patrons and predict appointments to the inner circles five or ten years later even if the identity of the patrons is unknown. Future Politburo members are found in network positions that capture popularity as a coalition partner (closeness centrality), while patrons hold network positions from which they can preempt opposition from within their coalition (betweenness centrality).;The dissertation thus shows the importance of analyzing informal elite networks instead of just the ties between one specific leader and his or her followers. It also proposes SNA as a new theoretical and empirical approach to the understudied informal institutions of authoritarian regimes, suggesting a more principled, but also more nuanced way of measuring one such institution: political patronage.
机译:据说赞助网络可以帮助精英进入政权的内部圈子或导致其垮台,并影响政权的稳定和其他政治结果。但是研究人员只是系统地研究了个人与顾客的关系,而没有利用社交网络分析(SNA)提供的工具。在三篇相关论文中,本文评估了衡量赞助网络的最佳方法,发展了沿其建立联盟的理论,并在1982年至2012年期间对中国共产党中央委员会的成员进行了测试。通过网络比使用派系更好地对政治进行概念化,并且可以识别和评估两种测量此类网络的通用方法:归纳法(依赖于对内部消息来源的定性评估)和演绎法(根据推断的方法从可公开获得的数据中推断出网络)。本文评估了几种推论中国政治精英之间网络的常用方法。通过使用“社交网络分析”中开发的方法和概念,它发现同事网络在这些测试中表现最佳,但是可以通过注意一起工作的实例数,或者考虑到两个人同时进行的晋升来进一步完善同事网络。第二篇论文建立了一个模型,其中一个或两个领导人沿着连接相关政治精英(选拔者)的网络联系组成联盟。在中国精英中对随机网络和现实惠顾网络的仿真表明,除了常规(晶格或完整)网络之外,所有其他网络如何导致选择者成员之间的权力差异。该模型确定了三个具体的网络职位:增加加入获胜联盟的机会的职位,使联盟领导者继续负责联盟的职位和帮助统治者抵御反对派的职位。它讨论了它们各自的属性,并表明强大的中国精英确实确实占据了相应的位置。此外,在具有两个相互竞争的领导者的模型中,网络结构为赢得小于绝对多数的联盟规模提供了内生的解释。第三篇论文检验了晋升网络的理论-指出中共精英中谁被晋升为谁。 1982年至2012年。危害分析表明,与顾客的直接联系使被任命为政治局的机会增加了一倍。但是,与其他上层精英不同的是,与现任和前任下属的联系也具有显着的积极作用。最后,即使不知道顾客的身份,网络集中度测量也可以识别当前的顾客并预测五到十年后对内部圈子的约会。未来的政治局成员出现在网络位置上,这些位置赢得了联盟伙伴的欢迎(亲密性中心),而顾客担任网络职位,可以从他们的联盟内部抵制反对(中间性中心)。;因此,本文表明分析非正式的重要性精英网络,而不仅仅是一位特定领导者与其追随者之间的联系。它还建议将国民账户体系作为一种新的理论和经验方法,来研究被独裁的独裁政权的非正式制度,并提出一种更原则性但也更细微的方法来衡量一种这样的制度:政治赞助。

著录项

  • 作者

    Keller, Franziska Barbara.;

  • 作者单位

    New York University.;

  • 授予单位 New York University.;
  • 学科 Political science.;Asian studies.;Sociology.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 147 p.
  • 总页数 147
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:17

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