Sustainable Development Of The Network Group Cognitive Model

With the rapid development of Internet, people are more accustomed to express their views and insights to on the Internet.Different groups on the Internet will be published the topic they care about support or opposition to influence others, people's experience and knowledge gathered through such interactions and to come to the fore, resulting in swarm intelligence.In this paper, the sustainable development of Dianchi Lake Basin study, with the help of the Fund early researchers collected data on the network of public, experts and government relations point of view of the response to create a system dynamics model to simulate the network of public, experts and government Dianchi Lake Basin emerging awareness of sustainable development, evaluate sustainable development policies and guide the government to make the right decisions.First, the paper on the system dynamics steps were introduced, and the modeling process, how to build a causal loop diagram and feedback structure were learning.According to the system dynamics modeling steps, building model to simulate the network of public, experts and government awareness of sustainable development emergence phenomenon.Reference to fund projects of this thesis, the researcher Wang Ronghua in his essay "HWME in the" general expert "groups, the link structure of the network discussion and analysis of the process of algorithm" to establish the "general expert" discussion groups, interactive process with the link structure property map as a model of the related network structure.Related network in the model structure, according to the node between the nodes with the response the response object attributes (challenge, oppose, neutral, support and complement) the related network structure into a causal loop diagram.Finally, used the basic elements of the feedback and descriptions of symbols conversed the causal loop diagram into the feedback structure.After completion of the construction of model determined parameters in the model. Assumptions:0 to 1 opposed to that view, from 1 to 0 views closer to the strength of opposition to the stronger,0 is completely against it.1 to 2 views who agree that the attitude, from 1 to 2 views who agree with the closer the stronger, and 2 full agreement.1 indicates neutral point of view. Stock parameter is set to 1. The causal loop diagram based on bond polarity of the causal set model of the flow parameters.Auxiliary variable parameter settings are collected from the network on behalf of auxiliary variables view the comments, by expert scoring and AHP to determine the opposing point of view the relative strength opposition weight and the agreeing point of view the relative strength agreement weight.Conversed opposition weight and agreement weight into opposition intensity and agreement intensity.Finally, in the Stella software draw the icon of auxiliary variables.Using Stella software simulates the model and analysis of simulation results. Finally, drawing on previous research results on the basis of the modeling using the formula (5.7) Logistic equations described the abstract, the establishment of a model differential equation, Logistic model using differential equations and the stability of equilibrium criterion, the stability of the model were analyzed to identify the model to maintain the stability of the interval.According to the simulation results show that the constructed network of community awareness of sustainable development model is reasonable and effective, to better express the public, experts and government interaction between the three groups. The simulation results more in line with the status of Dianchi Lake. According to the simulation results of the policy recommendations made by pollution control of Dianchi Lake has a practical significance.Therefore, the dissertation on the one hand for the Dianchi Lake Basin Study on Sustainable Development provided a new research direction and methods; the other hand, this study also between different groups for the study of cognitive phenomena emerge and provide some reference reference.