Research On Government Big Data Organization Management And Service Model From The Perspective Of Supernetwork

Big data plays an important role in the process of government informationization in the new era.It has penetrated into various aspects such as national modernization governance and government public services.However,there is still a lack of systematic classification and organization system for the effective management and utilization of government big data.Collaborative sharing of data and the construction of a data disaster recovery center are incomplete,and the fusion of government public services and government big data is not deep enough.The root of these problems lies in the fact that government big data has multiple attributes such as resources,technology,management,governance,and services.It is not only a resource,but also an infrastructure and service method,and our understanding of its complexity is still lacking.More integrated perspectives and ways.The government’s big data organization management and service not only involves the production and development and application of big data of various organization groups and individuals,but also involves the governance of big data itself and the management and maintenance of various data carriers of big data.Node and multilateral complex networked system.In view of the above issues and phenomena,this paper uses the perspective of supernetworks,combined with knowledge of system engineering,data governance,and intelligence science theory,proposes the use of government big data super networks to represent the structural relationships of the government’s big data application system,and defines government big data.The concept of supernetwork,analyzed its characteristics,and used government big data supernetwork and feature research to solve some key issues in government big data applications.The research work of this paper includes: 1)The government big data supernetwork and its characteristics analysis.Explained that the government big data supernetwork is a complex network consisting of a human-oriented social space network,a system-based physical space network,a data-centered dataspace network,and the relationship between the three.Characteristics of sexuality and evolution,self-organization and organization,centralization and decentralization,small-world networks and scale-free networks,robustness and vulnerability;2)Organizational governance of government big data classification from a super-network perspective the way.The classification organization governance in the government big data super network should adopt the type of self-organization and integration of heter-organization,and for the problems existing in the government’s open data resource classification organization,a government open data resource classification organization system from the perspective of supernetwork is constructed.3)The supernetwork perspective of the government big data supernetwork management method.This paper analyzes the problems of practice in government information co-sharing and disaster recovery centers,and points out that blockchain technology meets the needs of the government’s big data supernet management,and uses blockchain technology to build a decentralized,trustworthy,and secure architecture.Reliable solution.4)The supernetwork perspective of the government’s big data service approach analyzes the connotation of “government big data as a service” and its technical support system and security system.5)Based on a province’s dynamic big data service project,this paper expounds the application of government big data organization management and service based on the supernetwork perspective.Based on the supernetwork perspective,it helps to better reveal and show the relationship between the various elements involved in government big data and the network,and is conducive to optimizing the current government big data classification organization,management,and service work.For future government big data The theoretical research and practice have some enlightening significance.