scholarly journals DR-SCIR Public Opinion Propagation Model with Direct Immunity and Social Reinforcement Effect

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 584 ◽  
Author(s):  
Weidong Li ◽  
Tianyi Guo ◽  
Yunming Wang ◽  
Bo Chen
Keyword(s):  
Social Networks ◽  
Public Opinion ◽  
Propagation Model ◽  
Social Reinforcement ◽  
Reinforcement Effect ◽  
Factor B ◽  
Effect Factor ◽  
The Public ◽  
Simulation Results ◽  
First Time

The DR-SCIR network public opinion propagation model was employed to study the characters of S-state users stopping transmitting information for the first time and secondary transmission of immune users. The model takes into account symmetry and complexity such as direct immunization and social reinforcement effect, proposes the probability of direct immunity Psr and the probability of transform from the immune state to the hesitant state Prc, and divides public opinion information into positive public opinion and negative public opinion based on whether the public opinion information is confirmed. Simulation results show that, when direct immunity Psr = 0.5, the density of I-state nodes in the model decreased by 54.12% at the peak index; when the positive social reinforcement effect factor b = 10, the density of I-state nodes in the model increased by 16.67% at the peak index; and when the negative social reinforcement effect factor b = -10, the density of I-state nodes in the model decreased by 55.36% at the peak index. It shows that increasing the positive social reinforcement effect factor b can promote the spread of positive public opinion, reducing the negative social reinforcement effect factor b can control the spread of negative public opinion, and direct immunization can effectively suppress the spread of public opinion. This model can help us better analyze the rules of public opinion on social networks, so as to maintain a healthy and harmonious network and social environment.

scholarly journals The effect of social distancing on the reach of an epidemic in social networks

2021 ◽  
Author(s):  
Gregory Gutin ◽  
Tomohiro Hirano ◽  
Sung-Ha Hwang ◽  
Philip R. Neary ◽  
Alexis Akira Toda
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Social Networks ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Disease Transmission ◽  
Global Level ◽  
Social Distancing ◽  
The Public ◽  
Simulation Results

AbstractHow does social distancing affect the reach of an epidemic in social networks? We present Monte Carlo simulation results of a susceptible–infected–removed with social distancing model. The key feature of the model is that individuals are limited in the number of acquaintances that they can interact with, thereby constraining disease transmission to an infectious subnetwork of the original social network. While increased social distancing typically reduces the spread of an infectious disease, the magnitude varies greatly depending on the topology of the network, indicating the need for policies that are network dependent. Our results also reveal the importance of coordinating policies at the ‘global’ level. In particular, the public health benefits from social distancing to a group (e.g. a country) may be completely undone if that group maintains connections with outside groups that are not following suit.

scholarly journals Influence Maximization in Social Network Considering Memory Effect and Social Reinforcement Effect

2019 ◽  
Vol 11 (4) ◽  
pp. 95
Author(s):  
Wang ◽  
Zhu ◽  
Liu ◽  
Wang
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Memory Effect ◽  
Influence Maximization ◽  
Viral Marketing ◽  
Maximization Problem ◽  
Social Reinforcement ◽  
Reinforcement Effect ◽  
The Social ◽  
Influence Maximization Problem

Social networks have attracted a lot of attention as novel information or advertisement diffusion media for viral marketing. Influence maximization describes the problem of finding a small subset of seed nodes in a social network that could maximize the spread of influence. A lot of algorithms have been proposed to solve this problem. Recently, in order to achieve more realistic viral marketing scenarios, some constrained versions of influence maximization, which consider time constraints, budget constraints and so on, have been proposed. However, none of them considers the memory effect and the social reinforcement effect, which are ubiquitous properties of social networks. In this paper, we define a new constrained version of the influence maximization problem that captures the social reinforcement and memory effects. We first propose a novel propagation model to capture the dynamics of the memory and social reinforcement effects. Then, we modify two baseline algorithms and design a new algorithm to solve the problem under the model. Experiments show that our algorithm achieves the best performance with relatively low time complexity. We also demonstrate that the new version captures some important properties of viral marketing in social networks, such as such as social reinforcements, and could explain some phenomena that cannot be explained by existing influence maximization problem definitions.

PUBLIC OPINION FORMATION MODEL BASED ON OPINION ENTROPY

2013 ◽  
Vol 24 (11) ◽  
pp. 1350080 ◽  
Author(s):  
YUE WU ◽  
YONG HU ◽  
XIAO-HAI HE
Keyword(s):  
Public Opinion ◽  
Shannon Entropy ◽  
Quantitative Measurement ◽  
Formation Model ◽  
Opinion Formation ◽  
The Public ◽  
Model Based ◽  
Simulation Results ◽  
High Control ◽  
Short Time

In this paper, we introduce the concept of opinion entropy based on Shannon entropy, which is used to describe the uncertainty of opinions. With opinion entropy, we further present a public opinion formation model, and simulate the process of public opinion formation under various controlled conditions. Simulation results on the Holme–Kim network show that the opinion entropy will reduce to zero, and all individuals will hold the opinion of agreeing with the topic, only by adjusting the cons' opinions with a high control intensity. Controlling the individuals with big degree can bring down the opinion entropy in a short time. Besides, extremists do not easily change their opinion entropy. Compared with previous opinion clusters, opinion entropy provides a quantitative measurement for the uncertainty of opinions. Moreover, the model can be helpful for understanding the dynamics of opinion entropy, and controlling the public opinion.

scholarly journals The Role of Social Networks in Creating Public Opinion About Electronic Study

2021 ◽  
Vol 8 (1) ◽  
pp. 379-397
Author(s):  
Shanaz Sadeq Mohamad ◽  
Sara Mohsen Qadir
Keyword(s):  
Social Networks ◽  
Public Opinion ◽  
Social Network ◽  
Survey Methodology ◽  
The Public ◽  
The Social ◽  
The Subject ◽  
Study Process ◽  
Electronic Education

In line with the developments of various social networks, it has made the public see a change for all the various issues in the nation, one of which was the issue of electronic education, which has been influenced by the social networks, especially by students. Therefore, from this perspective, the researcher in the research scientifically shows the role of the social networks in creating public opinion about the process of electronic study. This research is a description, a researcher who has used the research to achieve detailed and necessary data and information about the subject of survey methodology research. Among the students of Kurdistan University, Salahaddin University and World University students are research samples of 422 students of both maleand female genders, the most important results that researchers have reached are the social networks that are a reason for creating public opinion and all The data spread through the social network to a process have created public opinion about the electronic study process, the strongest network, the Facebook social network to create public opinion in Kurdistan. In the short list of research, recommendations and suggestions have been made.

Cross-network propagation model of public opinion information and its control in coupled double-layer online social networks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yun Li ◽  
Jiakun Wang
Keyword(s):  
Social Networks ◽  
Public Opinion ◽  
Double Layer ◽  
Online Social Networks ◽  
Early Stage ◽  
Intervention Strategy ◽  
Propagation Model ◽  
Content Type ◽  
Propagation Law ◽  
Network Propagation

PurposeIn modern society, considering the multi-channel of public opinion information (public opinion) propagation and its strong influence on social development, it is necessary to study its propagation law and discuss the intervention strategy in online social networks (OSN).Design/methodology/approachFirst, a conceptual model of double-layer OSN was constructed according to their structural characteristics. Then, a cross-network propagation model of public opinion in double-layer OSN was proposed and discussed its spreading characteristics through numerical simulations. Finally, the control strategy of public opinion, especially the timing and intensity of intervention were discussed.FindingsThe results show that the double-layer OSN promotes the propagation of public opinion, and the propagation of public opinion in double-layer OSN has the characteristics of that in two single-layer OSN. Compared with the intervention intensity, the regulator should give the priority to the timing of intervention and try to intervene in the early stage of public opinion propagation.Practical implicationsThis study may help the regulators to respond to the propagation of public opinion in OSN more actively and reasonably.Originality/valueThis research has a deep comprehension of the cross-network propagation rules of public opinion and manages the propagation of public opinion.

Public Opinion and the 1908 Eucharistic Congress

2000 ◽  
Vol 25 (1) ◽  
pp. 120-132 ◽  
Author(s):  
Thomas Horwood
Keyword(s):  
Public Opinion ◽  
Annual Meeting ◽  
Moral Education ◽  
Roman Catholic ◽  
International Congress ◽  
The Public ◽  
The Press ◽  
History Of Religions ◽  
History Of ◽  
First Time

The summer of 1908 was a summer of congresses in London. The decennial Pan-Anglican Congress assembled in July, the History of Religions Congress met in September, the Trades Union Congress held its annual meeting shortly thereafter, and the International Congress on Moral Education took place in October. None of these received as much newspaper attention as the Roman Catholic International Eucharistic Congress, which convened in England for the first time, from Wednesday 9 to Sunday 13, September. Many column inches were devoted to the preparations and proceedings; photographs were printed; and hundreds of readers’ letters were published afterwards. In reportage the newspapers differed slightly; in opinion, more so. Most of the proceedings were not controversial at all, consisting of liturgies, lectures on various aspects of Catholic belief concerning the Eucharist, and evening meetings in the Albert Hall. What excited the press and sections of the public was the proposed closing spectacular: a procession of the Blessed Sacrament through the streets around Westminster Cathedral.

scholarly journals The Internet and Cancellation Culture: The Impact of the Public Opinion on the Exercise of the Individual Right to Freedom of Expression

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Elaine Celina Afra da Silva Santos
Keyword(s):  
Social Networks ◽  
Public Opinion ◽  
Freedom Of Expression ◽  
The Internet ◽  
Individual Rights ◽  
The Public ◽  
Deductive Method ◽  
The Individual ◽  
The Impact ◽  
Legal Consequences

This article analyzes the impact of the culture of cancellation promoted by users of social networks on the exercise of individual rights, more precisely Freedom of Expression. The study presents the analysis of the content inherent to what would be the cancellation, its aspects and practical consequences in the individual sphere of the users. The theme is approached by the deductive method and through doctrinal research. The article intends to answer if there are legal consequences resulting from the use of this resource by users.

Internet Public Opinion Monitoring Model Based on Cloud Computing

2013 ◽  
Vol 404 ◽  
pp. 744-747
Author(s):  
Zhong Tang He ◽  
Xiao Qing Zhang ◽  
Feng Wei Zhao ◽  
Tong Kai Ji
Keyword(s):  
Social Networks ◽  
Cloud Computing ◽  
Public Opinion ◽  
Social Network ◽  
Online Social Networks ◽  
Rapid Development ◽  
The Public ◽  
Mass Data ◽  
Model Based ◽  
Monitoring Model

With the rapid development of online social networks, such as social network services, BBS, micro-blog and online community, et al., a two-way communication and new media age has been gradually coming. Each one can create their own content and publish the news quickly through online social networks on Internet. Thus, mass data has brought severe challenge to public opinion monitoring. As a kind of novel information computing model, cloud computing technology can effectively deal with the calculation and storage of mass data. In this paper, the public opinion monitoring model based on cloud computing environment is introduced, which can mine and analyze large scale collected data, realize detection and tracking of hot topics, perform social network analysis on the BBS and visualize the analysis results. The public opinion monitoring system based on cloud can provide timely sensitive information and deal with public crisis efficiently. Finally, the advantage is analyzed when cloud computing is applied to public opinion monitoring.

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