Modelling of homophily and social influence via random graphs

通过随机图对同质性和社会影响进行建模

• 批准号: 500393-2016
• 负责人: Pralat, Pawel
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=608074
• 关键词: Modelling; homophily; social; influence; via

The proliferation of cellular usage has given rise to massive amounts of data that, through data mining and analytics, promises to reveal a wealth of information on how agents interact with one another and effect one another's preferences. For example, cellular devices frequently communicate with cell towers, from which agent locations, and hence, agent activity profiles, are readily available. The company aims to understand the interconnections between agent profiles and, in particular, how these profiles co-evolve over time.

蜂窝使用的激增产生了大量的数据，通过数据挖掘和分析，这些数据有望揭示大量关于代理如何相互交互并影响彼此偏好的信息。例如，蜂窝设备频繁地与蜂窝塔通信，从蜂窝塔可以容易地获得代理位置以及代理活动简档。该公司的目标是了解代理配置文件之间的相互联系，特别是这些配置文件如何随着时间的推移而共同发展。