Management Of Network Public Opinion Research Articles

Analysis of Dynamic Influence Mechanism of Network Public Opinion Based on Simulation Feature Extraction

In order to improve the effect of network public opinion management, this paper constructs an intelligent computer network simulation model to analyze the dynamic influence mechanism of network public opinion. This paper converts semistructured text information into a form that is easy for computer analysis and recognition, which facilitates opinion extraction and sentiment analysis. Moreover, by analyzing the text content to be mined, this paper uses a specific algorithm to select different words that best represent the text to be tested as the characteristic words of network public opinion. These network public opinion feature words can classify texts, thereby reducing the complexity of text classification. The experimental study shows that the dynamic influence mechanism analysis model of network public opinion based on intelligent computer network simulation constructed in this paper has a good effect.

A Study on the Topic-Sentiment Evolution and Diffusion in Time Series of Public Opinion Derived from Emergencies

With the development of the Internet, social media has become an important platform for people to deal with emergencies and share information. When a public health emergency occurs, the public can understand the topics of the event and perceive the sentiments of others through social media, thus building a cooperative communication network. In this study, we took the public health emergency as the main research object and the natural disaster, accident, and social security event as the secondary research object and further revealed the law of the formation and evolution of public opinion through the analysis on temporal networks of topics and sentiments in social media platforms. Firstly, we identified the derived topics by constructing the topic model and used the sentiment classification model to divide the text sentiments of the derived topics into two types: positive sentiment and negative sentiment. Then, the ARIMA time series model was used to fit and predict the evolution and diffusion rules of topics and sentiments derived from public opinions on temporal networks. It was found that the evolution law of derived public opinions had similarities and differences in various types of emergencies and was closely related to government measures and media reports. The related research provides a foundation for the management of network public opinion and the realization of better emergency effects.

Feature Representation and Organization Method for Public Opinion Big Data Based on Association Analysis

In order to improve the data mining level of public opinion big data, by analysing the relationship among semantic web, ontology and RDF (Resource Description Framework), the structure and organization method of public opinion big data association data are separated. Based on the analysis of network public opinion big data organization technology, and then the RDF structure definition of network public opinion knowledge map is given, and the construction method of RDF association analysis map of network public opinion knowledge is realized. Experimental research shows that the proposed method can provide more accurate correlation analysis of public opinion big data, which can effectively realize the analysis and management of public opinion hot events, and provide decision support for the management of network public opinion.

Effect of the Quality of Microblog Information Content on Internet Public Opinion Dissemination

In the era of mobile internet, microblog has become the main source of information for people, and its information quality is crucial. From the perspective of information content quality, this paper constructs a quality index system of microblog information content, uses correlation analysis and empirical analysis to verify the impact of relevant indicators on the dissemination of public opinion, and concludes that the quality of microblog information content has a positive impact on the transmission of microblog. Finally, the key quality factors affecting the dissemination of public opinion are obtained, which can provide reference for the management of network public opinion.

Research on Management Model of Network Public Opinion Based on Big Data Technology

The national big data strategy not only provides policy support for economic development transformation and technical guidance for social management reform, but also brings opportunities and challenges to the management of network public opinion for the government. In order to systematically guide the practice work of the government to manage network public opinion, this work first analyzed the challenges faced by network public opinion management under the background of big data, and then proposed the mechanism and technology of network public opinion management based on big data.

Research on the Construction of Early Warning Index System of Network Public Opinion Emergency Based on Computer Simulation

Under the current social background of our country, the dissemination environment, dissemination background, audience characteristics, media environment and event types of network public opinion are constantly developing and changing, and the influencing factors will also have new changes. The early warning index system of network public opinion emergencies is an important part of the crisis management of network public opinion. The analysis of network public opinion is based on the complete and accurate grasp of network public opinion. The early warning of network public opinion emergencies is based on the full exploitation and utilization of network public opinion data. Through the analysis and judgment of public opinion, the early warning mechanism of network public opinion emergencies can be improved. Computer simulation is a fast and economical important research tool, and the effectiveness and accuracy of computer simulation depends on the performance of computer simulation software tools. Using computer simulation and simulation of the process of user concept in event propagation, dynamic evolution simulation of events is analyzed according to the results of user concept, and hot events are identified.

Research on the Construction of Early Warning Index System of Network Public Opinion Emergency Based on Computer Simulation

Under the current social background of our country, the dissemination environment, dissemination background, audience characteristics, media environment and event types of network public opinion are constantly developing and changing, and the influencing factors will also have new changes. The early warning index system of network public opinion emergencies is an important part of the crisis management of network public opinion. The analysis of network public opinion is based on the complete and accurate grasp of network public opinion. The early warning of network public opinion emergencies is based on the full exploitation and utilization of network public opinion data. Through the analysis and judgment of public opinion, the early warning mechanism of network public opinion emergencies can be improved. Computer simulation is a fast and economical important research tool, and the effectiveness and accuracy of computer simulation depends on the performance of computer simulation software tools. Using computer simulation and simulation of the process of user concept in event propagation, dynamic evolution simulation of events is analyzed according to the results of user concept, and hot events are identified.

Research on Network Public opinion Analysis Platform Architecture Based on Big Data

With the development of Internet technologies and applications, network public opinion has undergone tremendous changes in terms of data volume, complexity, and speed of production. Existing public opinion analysis techniques and monitoring systems are difficult to adapt to changes in this scenario, and must be innovative under the thinking of big data analysis. Therefore, this paper designs a network public opinion analysis platform through the use of big data technology, including information collection, information processing, information analysis, public opinion display and information security. And from the three aspects of government decision-making, hotspot tracking, and public opinion guidance, the application effect of the platform is proposed, and the innovation of thinking, mode and technology of network public opinion management is realized. It has important theoretical and practical value for network public opinion management.

大数据环境下网络舆情管理研究

大数据环境下网络舆情管理研究

Research on Public Opinion Propagation Model in Social Network Based on Blockchain

With the emergence and development of blockchain technology, a new type of social networks based on blockchain had emerged. In these social networks high quality content creators, filters and propagators can all be reasonably motivated. Due to the transparency and traceability brought by blockchain technology, the public opinion propagation in such social networks presents new characteristics and laws. Based on the theory of network propagation and blockchain, a new public opinion propagation model for this kind of social network based on blockchain technology is proposed in this paper. The model considers the effect of incentive mechanism produced by reasonably quantifying value contribution on the propagation of information in such social networks, and the income-risk matrix under different propagation behaviors is constructed. Furthermore, the transformation process and transfer probability among different states in the propagation model are defined on the basis of income-risk matrix. The model is helpful to break the bottleneck of network public opinion management by using blockchain technology. The propagation of false network public opinion can be contained, and a good ecological environment of network public opinion propagation would be realized.

On the Monitoring, Analysis, and Management of Network Public Opinion: Current Status and Challenges

On the Monitoring, Analysis, and Management of Network Public Opinion: Current Status and Challenges

The study on the Coal Mine Safety Integrated Monitoring and Early Warning System DesignUsing the S-MAC Protocol

Network monitoring system is handled by the automatic collection of web content, sensitive word filtering, intelligent clustering classification, topic detection, thematic focus, statistical analysis, a number of links to realize the need of the supervision and management of network public opinion, and ultimately the formation of public opinion, special reports, analysis reports, statistical reports, decision-making and management have complete control of public opinion, the dynamic, to make the right to guide public opinion, provide an analytical basis. The current monitoring system has some drawbacks such as small monitoring scope and less real-time. Coal mine safety monitoring and early warning systems are designed based on wireless sensor network in this paper. This system realized channel access to S MAC protocol, and transmitted environment information collected such as CO, CH4, temperature, humidity and my roof pressure, etc. to the monitoring station and realized real-time monitoring of the mine working environment parameters. Modeling simulation is performed on the wireless network structure by applying OPNET software, and the results show that in the wireless transmission condition, 20 nodes sent 1000 data packets, more than fifty of which are received. Wireless transmission network performs well.