Statistical models for social networks, network-based social processes and complex social systems

社交网络、基于网络的社会过程和复杂社会系统的统计模型

• 批准号: DP0665261
• 负责人: Prof Philippa Pattison
• 金额: $ 50.19万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0665261
• 关键词: Statistical; models; social; networks; network

Our methodological advances (flexible, theoretically defensible and empirically testable quantitative models for a wide range of interactive social processes) will add significantly to national capacity in modelling complex social systems. Existing collaborations will result in practical scientific outcomes relating to: the impact of social contact and needle-sharing networks on HIV transmission; the social epidemiology of mental health; health policy and local government networks; governance arrangements in environmental management; intra-organizational networks; labour market dynamics; and acculturation processes for international students. A major emphasis will be the training of a new group of quantitative social science graduates.

我们在方法上的进步(针对广泛的互动社会过程的灵活的、理论上可辩护的和可经经验检验的量化模型)将大大增强国家模拟复杂社会制度的能力。现有的合作将产生与以下方面有关的实际科学成果：社会接触和共用针头网络对艾滋病毒传播的影响；心理健康的社会流行病学；卫生政策和地方政府网络；环境管理的治理安排；组织内网络；劳动力市场动态；国际学生的文化适应进程。一个主要的重点将是培养一批新的量化社会科学毕业生。