近年来，随着信息、网络技术的不断发展，大数据等新兴产业的泛滥，而与之对应的我国当前对互联网虚拟社会的治理相对滞后。电信网络类诈骗犯罪案件等新型违法犯罪案件来势凶猛、愈演愈烈且持续呈现多发、高发态势，严重侵害人民群众财产安全，严重扰乱经济社会秩序，严重威胁政府机关公信力。已成为影响社会诚信、群众安全感和满意度的突出问题。电信网络类诈骗泛指利用电话、互联网等通信设施通过不见面、不直接接触的形式危害百姓财产安全的违法案件。近年来该类案件发案数量多、案值大、犯罪手法不断翻新，给公安机关的打击治理工作带来了很大的挑战，同时也对新时代的政府治理提出了新要求。党的十九大报告强调“增进民生福祉是发展的根本目的，必须多谋民生之利、多解民生之忧”。如何科学有效的治理电信网络类诈骗案件，提升百姓生活的幸福感，降低电信诈骗给群众带来的危害性是当前亟须解决的现实问题。                                          

本文以协同理论的理论知识为理论支撑，以B市H区2017-2019三年间电信网络类诈骗案件的基础发案数据分析为切入点，通过介绍不同类型的电信网络类诈骗案件，分析其发案的特点及社会危害性。通过介绍犯罪分子作案流程引出当前与电信网络类诈骗案件发案密切相关的各类黑灰产业的分布情况。以黑灰产分析、发案现状为出发点研究多元主体协同治理的必要性。在模型分析部分通过论证SFIC模型的科学性以及电信、网络诈骗犯罪的复杂性来验证运用SFIC模型研究电信网络类诈骗犯罪协同治理的可行性。在实证分析部分，本文基于SFIC模型的各个组成部分提出假设、设计问卷，采用赋值法为问卷的问题设置1-5分的分值。通过问卷收集数据。然后运用SPSS软件对问卷收集的数据进行信度分析、效度分析、多元线性回归分析等数据分析，研究各变量之间的线性关系以前文提出的假设是否成立。文章以文献研究法为基础研究方法，通过介绍前人的研究成果，总结不足的同时为本文的研究提供一定的支撑；以问卷调查法为辅助研究方法。以模型分析法为主要研究方法，在问卷设计上以SFIC模型的四个组成部分——起始条件、催化领导、制度设计、协同过程为标准设计问卷内容。通过问卷调查收集信息，采用赋分统计的方法将问卷结果量化。在研究中通过对模型的分析对假设的结果进行验证，进而分析出当前电信网络类诈骗案件协同治理的影响因素。最后，在对策建议部分：基于上述研究成果以及论证过程并结合自身在公安工作中打击防范电信网络类诈骗案件的工作经验提出针对性的建议，为下一步电信网络类诈骗案件的协同治理提供支持。     

In recent years, with the continuous development of information and network technology and the proliferation of emerging industries such as big data, China's current governance of the Internet virtual society is relatively lagging behind. Telecommunication and network fraud crimes and other new types of illegal and criminal cases are fierce, increasingly intense and continue to appear frequent and frequent, seriously infringing on people's property safety, seriously disrupting economic and social order, and seriously threatening the credibility of government agencies. It has become a prominent problem affecting social integrity, people's sense of security and satisfaction. Telecommunication network fraud generally refers to the use of telephone, Internet and other communication facilities by not meet, not direct contact in the form of harm to the people's property safety of the illegal cases.The report to the 19th CPC National Congress stressed that "improving people's well-being is the fundamental goal of development, and we must do more to improve people's well-being and address their concerns." How to scientifically and effectively govern the telecom network fraud cases, improve people's sense of happiness in life, and reduce the harm of telecom fraud to the people is the urgent practical problem to be solved at present.                                                                                      

Based on the theoretical knowledge of synergetic theory, this paper analyzes the basic data of telecom network fraud cases in H District, Beijing during the period of 2017-20193 as the entry point. By introducing different types of telecom network fraud cases, this paper analyzes the characteristics of their crimes and the social harmousness. Through the introduction of the criminal crime process leads to the distribution of various types of black and gray industries closely related to the telecom and network fraud cases. Based on the black ash production analysis and the current situation of the case, the necessity of multi-subject collaborative governance was studied. In the part of model analysis, the scientific nature of SFIC model and the complexity of telecom and network fraud crimes are demonstrated to verify the feasibility of using SFIC model to study the collaborative governance of telecom and network fraud crimes. In the part of empirical analysis, based on each component of the SFIC model, this paper puts forward the hypothesis, designs the questionnaire, and uses the assignment method to set the score value of 1-5 points for the questionnaire questions. Data were collected through questionnaires. Then, SPSS software is used to conduct reliability analysis, validity analysis, multiple linear regression analysis and other data analysis on the data collected from the questionnaire to study whether the linear relationship between variables is valid or not. This paper takes the literature research method as the basic research method. By introducing the previous research results, it summarizes the shortcomings and provides some support for the research of this paper. Questionnaire survey was used as the auxiliary research method. Taking model analysis as the main research method, the questionnaire design takes the four components of SFIC model -- initial conditions, catalytic leadership, institutional design and collaborative process as the standard to design the content of the questionnaire. The information was collected by questionnaire, and the questionnaire results were quantified by the method of scoring statistics. In the study, through the analysis of the model to verify the results of the hypothesis, and then analyze the current telecommunications network fraud cases collaborative governance factors. Finally, in the part of countermeasures and suggestions: based on the above research results and demonstration process and combined with my own work experience in combating and preventing telecom network fraud cases in the public security work, I put forward targeted suggestions, so as to provide support for the collaborative governance of telecom network fraud cases in the next step.