Research Initiation Award Grant: SONAS: Social Network Analysis and Simulation Systems

北卡罗来纳农工州立大学的项目名为：研究启动奖-SONAS：社交网络分析和仿真系统，该项目建议研究不同的社交网络，并开发基于网络的社交网络分析和仿真(SONAS)系统。这项研究的目标是：开发一个社会网络分析和模拟系统，基于经济分析局的数据构建一个大型的国家投入产出(IO)金融网络；利用疾病控制和预防中心的国家卫生统计数据创建国家卫生统计网络；开发网络约简算法以提高SONA系统的性能；通过开发一个自我进化的网络环境来研究网络动态。该项目将从计算和社会两个角度增加对人和计算机的社交网络属性的理解。国家卫生统计网络将为矩阵公式中的详细分析奠定基础，并有相应的网络流程。国家卫生网络与国家经济网络的合并不仅对这个项目中的网络分析具有重要意义，而且还将连续群论、马尔科夫理论和网络拓扑与定义明确的数学基础和结构联系起来。该项目的教育目标是：在北卡罗来纳农工大学建立一个现代社会网络模拟实验室；招募、培训和指导有动力的社会网络分析和模拟本科生；以及吸引代表性不足的学生在计算机科学领域从事职业生涯。

North Carolina A&T State University's project entitled: Research Initiation Award - SONAS: Social Network Analysis and Simulation Systems, proposes to study different social networks and develop a web-based Social Network Analysis and Simulation (SONAS) system. The goals of this research are: to develop a social network analysis and simulation system, construct a large national input-output (IO) financial network based on Bureau of Economic Analysis data; utilize the Centers for Disease Control and Prevention National Health Statistics data to create a National Health Statistics Network; develop a network reduction algorithm to enhance the performance of the SONAS system; and investigate network dynamics by developing a self-evolving network environment. The project will increase the understanding of social network properties of people and computers from both computational and social perspectives. The national health statistics network will lay a foundation for detailed analysis in matrix formulations with corresponding network flows. The merger of the national health network with the national economic network will be of importance not just for the network analysis in this project, but also to connect the continuous group theory, Markov theory, and network topology to a well-defined mathematical foundation and structure.The educational objectives of the project are: to establish a modern Social Network Simulation Laboratory at North Carolina A&T State University; to recruit, train, and mentor motivated undergraduate students in social network analysis and simulations; and to attract underrepresented students to pursue a career in computer science.