Visible to the public The Application of Dynamic Random Network Structure in the Modeling of the Combination of Core Values and Network Education in the Propagation Algorithm

TitleThe Application of Dynamic Random Network Structure in the Modeling of the Combination of Core Values and Network Education in the Propagation Algorithm
Publication TypeConference Paper
Year of Publication2022
AuthorsMing, Lan
Conference Name2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)
Date Publishedsep
KeywordsAtmospheric modeling, belief networks, Core Values, Dynamic Random Network Structure, Education, Heuristic algorithms, Knowledge engineering, Metrics, Network Education, Network topology, Propagation Algorithm, psychology, pubcrawl, Public relations
AbstractThe topological structure of the network relationship is described by the network diagram, and the formation and evolution process of the network is analyzed by using the cost-benefit method. Assuming that the self-interested network member nodes can connect or break the connection, the network topology model is established based on the dynamic random pairing evolution network model. The static structure of the network is studied. Respecting the psychological cognition law of college students and innovating the core value cultivation model can reverse the youth's identification dilemma with the core values, and then create a good political environment for the normal, healthy, civilized and orderly network participation of the youth. In recognition of the atmosphere, an automatic learning algorithm of Bayesian network structure that effectively integrates expert knowledge and data-driven methods is realized.
DOI10.1109/ICIRCA54612.2022.9985671
Citation Keyming_application_2022