EAGER: Social Information Dissemination: A Market Based Approach

社交网络服务改变了人们的日常生活，并影响了发达国家社会的大多数方面，包括政治、娱乐、体育和教育。这些服务提供由其用户生成和消费的信息。在某些情况下，它带来了数十亿美元的商业，但在其他情况下，对收入来源的探索仍在继续。 这些信息及其传播的真正经济价值今天既不被理解，也不被在线社交网络服务提供商所认识。本项目需要一种研究方法，将竞争性市场均衡及其计算特性的分析，在线社交网络及其通信特性的分析，以及合作博弈论相结合，该项目还将通过案例研究说明和验证各种机制。 更具体地说，该项目旨在了解社会影响力对Arrow-Debreu市场模型的影响。该项目研究效用函数的性质，社会影响图的性质，以及信息传播市场中交易者的组合。 该项目旨在了解这些因素对市场均衡的计算复杂性以及市场动态的收敛性的影响。该项目将为社会信息传播经济学提供基本见解。它将使人们能够更好地理解这些复杂的系统，并为更有效和更强大的设计提供基本工具。该项目的成功完成不仅将提供理论和技术贡献，而且将影响下一代社交网络的设计和实施以及其中存在的信息市场。 研究结果可以帮助公众了解这种复杂的系统，并为政策辩论提供信息。

Social network services have transformed daily lives and have influenced most aspects of society in the developed world, including politics, entertainment, sports and education. These services provide information that is both generated and consumed by their users. In some cases it has resulted in billions of dollars of commerce, but in other cases the search for a revenue stream persists. The true economic value of this information and its dissemination is neither understood today nor recognized by providers of online social network service.This project entails a research approach combining the analysis of competitive market equilibria and their computational properties, analysis of online social networks and their communication properties, and cooperative game theory, to reach such an understanding and provide mechanisms to benefit from it. The project will also illustrate and validate the mechanisms on case studies. More specifically, the project aims to understand the impact of social influence on the Arrow-Debreu market model. The project investigates the nature of utility functions, the nature of social influence graphs, and the mix of traders in the information dissemination market. It aims to understand the effects of these on the computational complexity of market equilibria as well as the convergence of market dynamics.This project will provide fundamental insights on the economics of social information dissemination. It will enable a better understanding of these complex systems and will provide fundamental tools for more efficient and robust designs. A successful completion of the project will not only provide theoretical and technical contributions, but will affect the design and implementation of the next generation of social networks and the information market that exists therein. The results can aid in the public understanding of such complex systems as well as inform policy debate.