Research On Network Public Opinion Ecology And Cultural Leading Mechanism Based On Multidimensional Knowledge Graph

With the construction of ecological civilization included in the overall layout of the cause of socialism with Chinese characteristics,the network public opinion ecological construction has risen to a national strategy.The overall development process of the network public opinion ecology directly or indirectly reflects social public opinion,with the Internet as the main incubation foundation,and through the diversified communication ecology,the network public opinion is spread more widely.Through the network public opinion,a mirror of the real society,it brings together various cultures and interests in the network and society,and fully reflects the cultural inclination and cultural needs,so as to indirectly amplify social public opinion,and ultimately become an important tool for governance.Since the 18 th National Congress of the Communist Party of China,General Secretary Xi Jinping has emphasized that cultural self-confidence is a more basic,deeper,and more lasting force to adhere to road self-confidence,theoretical self-confidence,and institutional self-confidence.Taking ecological culture construction as an important issue for the development of national ecological civilization,using the network as an important tool for governing the country,and creating a new cultural ecology is an important way to achieve national cultural self-confidence.This article combines literature analysis,visualization analysis,and case study.From the perspective of information ecology,it combines social network analysis theory and knowledge map theory to study the issues related to the ecology of the public opinion and the cultural leading mechanism.Model and network public opinion culture leading model.Chapters 3,4 and 5 are the core chapters.The third chapter specifically discusses the construction of a panoramic model of the network public opinion ecology combined with the information ecology theory.It describes the relationship and interaction between the Internet public opinion subject,object,and public opinion event corresponding to the space-time environment and the dynamic balance.According to the three dimensions of public opinion subject-object-spatial-temporal environment,an ecological panoramic conceptual model of network public opinion is constructed.The fourth chapter constructs a multi-dimensional map of the Internet public opinion ecology based on the three dimensions proposed in Chapter 3.The social network analysis method is used to identify the main Internet public opinion participants and their relationships.The knowledge map technology is used to draw a public opinion topic map that can reflect the public opinion topic map.The complete network structure with semantic characteristics of comment forwarding relationships enables a comprehensive and systematic tracking of topic evolution.The network complexity analysis method is adopted to realize cross-scale recognition of physical geographic space and virtual network space.Finally,the three-dimensional visualization of timespace-topic was used to display the overall ecological landscape of Internet public opinion,and a case study was conducted with the public opinion incident of "Chongqing Wanzhou Bus Falling River".The fifth chapter proposes the corresponding cultural guidance dimension based on the dimensions of the Internet public opinion ecology,and proposes the corresponding cultural guidance mechanism for subject guidance,object guidance,and space-time environment guidance.Finally,the case of "Chongqing Wanzhou Bus Falling River" is taken as a case.Under the conditions of time and space,specific cultural guidance measures are proposed according to the cultural tendencies and cultural needs reflected by the subject and object.Combining theory and practice,refining the process of leading online public opinion culture,and providing innovative references for the ecological development of online public opinion and the construction of online cultural ecology.