Doctoral Dissertation Research: Spatial Models of Large-Scale Interpersonal Networks

博士论文研究：大规模人际网络的空间模型

• 批准号: 0100999
• 负责人: Kathleen Carley
• 金额: $ 0.65万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-01 至 2003-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0100999&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Spatial; Models

Given geographical constraints, the ability of humans to be aware of or establish contact with others falls off rapidly with physical distance. Indeed, problems as diverse as the spread of disease within human populations, the diffusion of cultural norms, migration, racial/ethnic segregation, and susceptibility to panic or revolution have all been linked to the distance-based structure of human relations. Yet, this spatial element of social network formation has received little attention. This project therefore develops mathematical network models based on physical distance, evaluates competing network models using published data on interpersonal relations across space, and presents measures of network structures. Using simulation methods, it identifies the linkages between large-scale social processes, such as those described above, and the social networks that span social groups and organizations. The mathematical methods thus provide insights into the general structures of human interaction that shape the more specific experiences and behaviors of individuals in a variety of types of groups.

由于地理上的限制，人类意识到他人或与他人建立联系的能力随着物理距离的增加而迅速福尔斯。 事实上，疾病在人群中的传播、文化规范的扩散、移民、种族/民族隔离以及对恐慌或革命的敏感性等各种各样的问题都与基于距离的人际关系结构有关。 然而，这种社会网络形成的空间要素很少受到关注。 因此，该项目开发了基于物理距离的数学网络模型，使用已公布的跨空间人际关系数据评估竞争网络模型，并提出了网络结构的措施。 使用模拟方法，它确定了大规模的社会过程之间的联系，如上述，和跨越社会群体和组织的社交网络。因此，数学方法提供了对人类互动的一般结构的见解，这些结构塑造了各种类型群体中个体的更具体的经验和行为。