ITR: The Structure and Dynamics of Electronic Social Networks

ITR：电子社交网络的结构和动态

• 批准号: 0080860
• 负责人: James Moody
• 金额: $ 19.62万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0080860&HistoricalAwards=false
• 关键词: ITR; Structure; Dynamics; Electronic; Social

This project describes network patterns among email users in the United States, identifying how electronic relations form and the implications of such relations for behavior. In the first of three stages, the project identifies the global features of electronic communication networks by identifying sets of people linked through email exchange. This sample provides the information needed to identify network features such as social distance, social cohesion, small-world properties, social balance, and segregation. Stage two examines the dynamic details of electronic networks by collecting in-depth information about online activity, social behaviors, and demographic characteristics over a year for a sample of the original study population. Using these data, researchers can model the stability of online relationships and the effect of network position on social behaviors. The third stage of the project re-contacts members of the original sample a year later. Data from this stage allows researchers to develop network-contextual models of social behavior that situate individual behavior within both local and global network contexts. The three stages of this project provide social network researchers and information technology specialists with an unprecedented ability to model network effects on social behavior and patterns of social relations in the rapidly changing electronic social context.

该项目描述了美国电子邮件用户之间的网络模式，确定电子关系是如何形成的，以及这种关系对行为的影响。 在三个阶段中的第一阶段，该项目通过识别通过电子邮件交流联系的人群来识别电子通信网络的全球特征。 该样本提供了识别网络特征所需的信息，如社会距离、社会凝聚力、小世界特性、社会平衡和隔离。 第二阶段通过收集关于原始研究人群一年内的在线活动，社会行为和人口统计学特征的深入信息来检查电子网络的动态细节。 利用这些数据，研究人员可以模拟在线关系的稳定性以及网络位置对社会行为的影响。 项目的第三阶段是在一年后重新接触原始样本的成员。 这一阶段的数据使研究人员能够开发社会行为的网络背景模型，在本地和全球网络背景下描述个人行为。 该项目的三个阶段为社会网络研究人员和信息技术专家提供了前所未有的能力，可以在快速变化的电子社会环境中对社会行为和社会关系模式进行网络影响建模。