scholarly journals Online public opinion evaluation through the functional resonance analysis method and deep analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261009
Author(s):  
Linxing Yu ◽  
Huaming Chen ◽  
Wenqi Luo ◽  
Chang Li
Keyword(s):  
Public Opinion ◽  
Information Dissemination ◽  
The Internet ◽  
Analysis Method ◽  
Functional Identification ◽  
Resonance Theory ◽  
Network Information ◽  
Resonance Analysis ◽  
Negative Impacts ◽  
Propagation Rule

A conventional model of public opinion analysis is no longer suitable when the internet is the primary arena of information dissemination. Thus, a more practical approach is urgently needed to deal with this dynamic and complicated phenomenon of propagating public opinion. This paper proposes that the outbreak of internet public opinion and its negative impacts, such as the occurrence of major security incidents, are a result of coupling and the complex interaction of many factors. The Functional Resonance Analysis Method model is composed of those factors and considers the stages of network information dissemination, the unique propagation rule, and textual sentiment resonance on the internet. Moreover, it is the first public opinion governance method that simultaneously highlights the complex system, functional identification, and functional resonance. It suggests a more effective method to shorten the dissipation time of negative public opinion and is a considerable improvement over previous models for risk-prediction. Based on resonance theory and deep learning, this study establishes public opinion resonance functions, which made it possible to analyze public opinion triggers and build a simulation model to explore the patterns of public opinion development through long-term data capture. The simulation results of the Functional Resonance Analysis Method suggest that the resonance in the model is consistent with the evolution of public opinion in real situations and that the components of the resonance of public opinion can be separated into eleven subjective factors and three objective factors. In addition, managing the subjective factors can significantly accelerate the dissipation of negative opinions.

Research on Impact of the Internet on the Dissemination of Sports Culture

2014 ◽  
Vol 926-930 ◽  
pp. 2702-2705
Author(s):  
Wei Zeng
Keyword(s):  
Information Dissemination ◽  
Rapid Development ◽  
The Internet ◽  
Network Resources ◽  
Network Information ◽  
Sports Culture ◽  
Reserve Network ◽  
Sports Information ◽  
Speed Up ◽  
New Feature

With the development of network, information technology has got rapid development, which adds sports culture a new mode of transmission with greater potential. Internet is an interactive, promotional, more open resource reserve network services and brought profound reforms to the dissemination of sports information. Dissemination of information in the Internet environment presents a new feature, the audience demand for new changes. Thus, the spread of sports culture must adapt to this new communication environment, and actively adjust communication strategies to increase the influence and competitiveness of sports and cultural dissemination. We should make full use of network resources, speed up the construction of sports information, enhance physical and cultural communication.And only in this way can we better serve our sports culture lovers and build a harmonious society.

Chinese Social Media Platforms and Microblogging in the Context of Public Diplomacy

Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Diplomacy ◽  
User Generated Content ◽  
The Internet ◽  
Interactive Communication ◽  
Network Interaction ◽  
Social Media Platforms ◽  
The Right ◽  
Chinese Social Media

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.

Study on the Operation Model of Colleges Network Learning Propaganda and Public Opinion Guidance Based on the Internet

2013 ◽  
Vol 380-384 ◽  
pp. 2104-2108
Author(s):  
Chen Liang Li ◽  
Ming Xia Zhu
Keyword(s):  
Public Opinion ◽  
Information Science ◽  
Internet Technology ◽  
The Internet ◽  
C Language ◽  
Network Learning ◽  
Maximum Value ◽  
Network Transmission ◽  
The Impact ◽  
Important Significance

With the development of computer information science and technology, Internet has a large number of network propaganda and public opinion page every day. Through the network micro message and the micro-blog forwarding, network propaganda and public opinion have the impact on the development and stability of colleges, so the study network propaganda and public opinion has important significance for the development of colleges. Under this background, based on the computer Internet technology, the Internet erection of network propaganda guidance mode are analyzed, and compared with the fuzzy minimum production tree theory and the C language software, the network construction is verified. Finally the iterative process of finding the network transmission is relatively stable, after 800 iterative steps, numerical is slowly increasing, in which the maximum value is about 0.0001. The seven school propaganda is been as the minimum spanning of tree main network, its sum of weighted has been up to 1606.

scholarly journals Application of Filtration System in the Network Security

2012 ◽  
Vol 4 ◽  
pp. 38-42
Author(s):  
Jin Liang Bian
Keyword(s):  
Network Security ◽  
Information Filtering ◽  
System Structure ◽  
Estimation Methods ◽  
The Internet ◽  
Key Technology ◽  
Network Information ◽  
Filtration System

With the Internet spread and deepening of the application, the development of enterprises Internet and e-commerce business has become an inevitable trend. Network security has drawn more and more attention. Therefore, it is necessary to monitor network information real-timely by using an effective information filtering systems in the network security. So the paper discussed the system structure, the estimation methods and key technology of the Network Information Filtering System in the general and in detail.

scholarly journals Geographic Information Systems Application to Drought Distribution Identification with Standardized Precipitation Index (SPI) Method in Trenggalek Regency

2021 ◽  
Vol 5 (2) ◽  
pp. 266-278
Author(s):  
Aditya Utama ◽  
Mohammad Pramono Hadi ◽  
Emilya Nurjani
Keyword(s):  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Analysis Method ◽  
A Value ◽  
Distance Weighted ◽  
Calculation Results ◽  
Negative Impacts ◽  
The Standardized Precipitation Index ◽  
Inverse Distance ◽  
Rain Data

The widespread drought area in Trenggalek Regency in 2019 needs to be analyzed to reduce negative impacts and as a monitoring tool to anticipate future drought events. The Standardized Precipitation Index (SPI) is a drought analysis method by calculating the rainwater deficit at various time scales used to identify the distribution of drought in Trenggalek Regency. This study using rain data on 13 rain stations for the period 1990-2019 and agricultural production data for 2019. The calculation results show that the highest SPI value occurred in March at the highly wet level with a value of 2.11. The lowest SPI value occurred in May at the extremely dry level with a value of -2.31. The results are then mapped using ArcGIS with the Inverse Distance Weighted (IDW) method to identify the spatial distribution of drought.

Sign in / Sign up

Export Citation Format

Share Document