Socio-Physical Approach to Consensus Building and the Occurrence of Opinion Divisions Based on External Efficacy

The proliferation of public networks has enabled instantaneous and interactive communication that transcends temporal and spatial constraints. The vast amount of textual data on the Web has facilitated the study of quantitative analysis of public opinion, which could not be visualized before. In this paper, we propose a new theory of opinion dynamics. This theory is designed to explain consensus building and opinion splitting in opinion exchanges on social media such as Twitter. With the spread of public networks, immediate and interactive communication that transcends temporal and spatial constraints has become possible, and research is underway to quantitatively analyze the distribution of public opinion, which has not been visualized until now, using vast amounts of text data. In this paper, we propose a model based on the Like Bounded Confidence Model, which represents opinions as continuous quantities. However, the Bounded Confidence mModel assumes that people with different opinions move without regard to their opinions, rather than ignoring them. Furthermore, our theory modeled the phenomenon in such a way that it can incorporate and represent the effects of external external pressure and dependence on surrounding conditions. This paper is a revised version of a paper submitted in December 2018(Opinion Dynamics Theory for Analysis of Consensus Formation and Division of Opinion on the Internet).Comment: Revised Paper:Opinion Dynamics Theory for Analysis of Consensus Formation and Division of Opinion on the Internet(2018

From Spin States to Social Consensus: Ising Approach to Dimer Configurations in Opinion Formation

The field of opinion dynamics has evolved steadily since the earliest studies applying magnetic physics methods to better understand social opinion formation. However, in the real world, complete agreement of opinions is rare, and biaxial consensus, especially on social issues, is rare. To address this challenge, Ishii and Kawabata (2018) proposed an extended version of the Bounded Confidence Model that introduces new parameters indicating dissent and distrust, as well as the influence of mass media. Their model aimed to capture more realistic social opinion dynamics by introducing coefficients representing the degree of trust and distrust, rather than assuming convergence of opinions. In this paper, we propose a new approach to opinion dynamics based on this Trust-Distrust Model (TDM), applying the dimer allocation and Ising model. Our goal is to explore how the interaction between trust and distrust affects social opinion formation. In particular, we analyze through mathematical models how various external stimuli, such as mass media, third-party opinions, and economic and political factors, affect people's opinions. Our approach is to mathematically represent the dynamics of trust and distrust, which traditional models have not addressed. This theoretical framework provides new insights into the polarization of opinions, the process of consensus building, and how these are reflected in social behavior. In addition to developing the theoretical framework by applying the dimer configuration, the dimer model and the Ising model, this paper uses numerical simulations to show how the proposed model applies to actual social opinion formation. This research aims to contribute to a deeper understanding of social opinion formation by providing new perspectives in the fields of social science, physics, and computational modeling.Comment: Discussion Paper:Theory of opinion distribution in human relations where trust and distrust mixed(2020

Transitioning To The Digital Generation Case Studies (Previous Digital Point Studies In Japan Cases:1993-2023)

In this paper, we discuss at The 8th International Workshop on Application of Big Data for Computational Social Science, October 26-29, 2023, Venice, Italy. To achieve the realization of the Global and Innovation Gateway for All (GIGA) initiative (2019), proposed in December 2019 by the Primary and Secondary Education Planning Division of the Elementary and Secondary Education Bureau of the Ministry of Education, Culture, Sports, Science and Technology, a movement has emerged to utilize information and communication technology (ICT) in the field of education. The history of ICT education in Japan dates back to the 100 Schools Project (1994), which aimed to provide network access environments, and the New 100 Schools Project (1997), which marked the beginning of full-scale ICT education in Japan. In this paper, we discuss the usage dynamics of smartphone-based learning applications among young people (analyzing data from January to September 2020) and their current status. Further, the results are summarized and future research topics and issues are discussed. The results show that there are situations in which ICT learning environments can be effectively utilized and others in which they cannot, depending on the differences between digital students and analog students who utilize ICT in their studies; this indicates that we are currently in a transition to a generation of digital natives. ICT education has both advantages and disadvantages, and it is expected that it will be used in combination with conventional educational methods while assessing the characteristics of ICT education in the future. Of course, there are many challenges. We plan to discuss how to appeal in this regard at the Workshop.Comment: Part of the 22nd IEEE WIC International Conference on Web Intelligence and Intelligent Agent Technology WI-IAT2023, Workshop of The 8th International Workshop on Application of Big Data for Computational Social Science, WI Artificial Intelligence in the Connected World October 26-29, 2023, Venice, Ital

Massive Case Study of Opinion Distribution in a Relationship with Mixed Trust and Distrust

The simulations in this paper are based on the theory of opinion dynamics, which incorporates both Opinion A and Opinion B, a case that is the inverse of Opinion A, in human relationships. It was confirmed that aspects of consensus building depend on the ratio of the trust coefficient to the distrust coefficient. In this study, the ratio of trust to distrust tended to vary like a phase transition around 55%, but we wanted to see if the same phenomenon could be confirmed in large-scale cases. In the previous case studies, this tendency has been observed from N = 300 to N = 1600 , and we will discuss the case of N = 10000 with N = 3000. By verifying the extent of the phenomenon on the social scale, we intend to consider simulation items for consensus building, such as consideration of the sensitivities of topics in online and offline opinion formation.Comment: Revised Paper:Theory of opinion distribution in human relations where trust and distrust mixed(2020

Discussion of the Effect of Inter-group Sub-groups Using a Consensus Model Incorporating External Effective or Immobile Magnetic Fields

Individuals belong to certain social groups in search of a sense of belonging, pride, stability, and significance. Perceiving the group to which one belongs as an "in-group" and other groups as "out-groups" often leads to harmful and discriminatory attitudes. In-group consciousness reinforces a sense of unity within the group and promotes commitment to group goals and problem solving. Identification with the in-group also shapes the social cognitive framework (norms, values, and beliefs) that determine group behavior. In fact, identification with an in-group often leads to prejudice, ethnocentrism, stereotyping, and discrimination, even in the absence of physical conflict or hostility. Social scientists have conducted thousands of empirical studies to elucidate the mechanisms behind these prejudices and discriminations and the social conflicts they generate. These studies are essential to understanding the processes by which group membership and self-categorization create prejudice and discrimination, which in turn lead to social conflict. However, there remain many unanswered questions about howin-groups and out-groups canmove beyond conflict to build harmony and avoid social conflict. According to existing research, it is difficult to establish harmonious relationships between in-groups and out-groups. This study proposes an approach using opinion dynamics theory and social simulation to examine these issues. We examine the possibility of simulating the movement of opinions between and within groups and applying the considerations to cases of social conflict. The model analyzes the severity of conflict within a society with two groups on the basis of intragroup and intergroup trust.Comment: Discussion Paper:Theory of opinion distribution in human relations where trust and distrust mixed(2020