• East Asian mathematical journal
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• 제40권3호
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• pp.341-353
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• 2024

This paper aims to provide a general review of Opinion Dynamics (OD) and its related models, along with application examples for special agents. We will discuss special classes of social actors, such as informed actors, opponents, and extremists, in the context of opinion dynamics. Our main objective is to determine the extent to which opinion dynamics, as a mathematical sociology, relates to social reality. To achieve this, we present key elements of mathematical sociology in Opinion Dynamics, which we then apply to real socioeconomic phenomena using modeling assumptions and mathematical formulations.

• 한국시스템다이내믹스연구
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• 제8권1호
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• pp.151-171
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• 2007

Without exception, diverse LULU(Locally Unwanted Land Use) facilities have been under the location conflict, especially between the public government units and local residents. In spite of repeated trials-and-errors, literally, the location conflict has shown no sign of improvement over time in Korea. As practical means to tackle these issues, this study focuses on divulging explicit and implicit relationships among key factors derived from the location conflict on the LULU facilities. Here, major research variables cover residents' agreement, residents' perception, compensation expectation, and public opinion. As the location conflict on the LULU facilities could be strengthened or resolved by the dynamic feedback system, it applies basic tools geared toward causal loop diagramming. After repeated experiments, the study highlights the fact that the residents' perception, compensation expectation, and public opinion, individually and collectively, exert significant impact on the residents' agreement ratio.

• Journal of the Korean Physical Society
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• 제73권10호
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• pp.1406-1409
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• 2018

We have frequently encountered the rapid changes that prevalent opinion of the social community is toppled by a new and opposite opinion against the pre-exiting one. To understand this interesting process, mean-field model with infinite-interaction range has been mostly considered in previous studies S. A. Marvel et al., Phys. Rev. Lett. 110, 118702 (2012). However, the mean-field interaction range is lack of reality in the sense that any individual cannot interact with all of the others in the community. Based on it, in the present work, we consider a simple model of opinion consensus so-called basic model on the low-dimensional lattices (d = 1, 2) with finite interaction range. The model consists of four types of subpopulations with different opinions: A, B, AB, and the zealot of A denoted by $A_c$, following the basic model shown in the work by S. A. Marvel et al.. Comparing with their work, we consider the finite range of the interaction, and particularly reconstruct the lattice structure by adding new links when the two individuals have the distance < ${\sigma}$. We explore how the interaction range ${\sigma}$ affects the opinion consensus process on the reconstructed lattice structure. We find that the critical fraction of population for $A_c$ required for the opinion consensus on A shows different behaviors in the small and large interaction ranges. Especially, the critical fraction for $A_c$ increases with the size of ${\sigma}$ in the region of small interaction range, which is counter-intuitive: When the interaction range is increased, not only the number of nodes affected by $A_c$ but also that affected by B grows, which is believed to cause the increasing behavior of the critical fraction for $A_c$. We also present the difference of dynamic process to the opinion consensus between the regions of small and large interaction ranges.

• 한국시스템다이내믹스연구
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• 제10권1호
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• pp.33-60
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• 2009

This study explores the limitation in making a causal model through an existing case and proposes an alternative plan to improve a theoretical system of causation modeling. To make a dynamic and actual model, several principles are needed such as reality based analysis of system structures and dynamics, consistent expression of causations, conversion of numerical formulas to causal relations, classification and arrangement of variables by size of concept, etc. However, it is hard to find cases to apply these considerations from existing models in System Dynamics. Therefore, this study verifies errors of derived models from literatures and proposes principles and guides that should be considered to make a sound dynamic model on a causal map. It contributes to making an opportunity for exciting public opinion to improve theory about causal maps, yet it has limitation that the study does not advance forward to the experimental step. For future study, it plans to make up by classifying and leveling causal variables, developing a dynamic BSC model.

• 지식경영연구
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• 제11권2호
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• pp.17-35
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• 2010

As the internet has been used widely, many online communities have been appeared. Initially, many users used online communities for communication and information sharing. Recently, users start using online communities for building, maintaining, and extending social networks which they did in offline environments previously. The importance of online community is considered by many scholars and also companies to use it strategically. Therefore many studies have focused on exploring characteristics of online communities. Most of them have emphasized the importance of online community. Few study focuses on dynamics within online community. By using social network analysis (SNA), this study tries to explore dynamics of online community. Specially, By measuring the centrality of online community and tracing its changes, this study investigates how the relationships among participants in online communities have been changed over the time. Findings of this study indicate that, as participants has joined in an online community over the time, an opinion leader is appeared, and her/his power is changed.

• 디지털융복합연구
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• 제13권4호
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• pp.329-340
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• 2015

본 연구는 미디어 융합시대를 맞아 예능프로그램의 영향력이 SNS를 통해 증폭되면서 젊은 층의 여론형성에 영향력을 배가시킨다는 측면에서, 안철수 후보의 '힐링캠프' 출연과 관련하여 트위터 이용자의 힐링캠프 방영 전후 여론형성 행태를 분석함으로써 예능프로그램이 트위터상에서의 여론형성에 미치는 영향에 대한 실증적인 연구를 시도하였다. 연구결과, 안철수 후보 관련 논의가 힐링캠프 방영 전 인간적 특성에 관해 주로 이루어졌던 반면 힐링캠프의 방영으로 인해 안철수 후보의 정치입문 관련 논의가 활성화 되었다. 또한 정서적 차원에서도 힐링캠프 방영 후 안철수 후보에 대한 정치 관련 인간적 특성 관련 긍정적 정서가 모두 증가함으로써 힐링캠프의 방영이 실제로도 트위터 내에서의 여론형성 및 변화에 일정부분 영향을 미침을 확인하였다. 이를 통해 실제로 트위터 내에서 여론이 어떻게 형성되고 있는지를 실증적으로 검증했을 뿐만 아니라 이를 실제 방영된 TV예능프로그램과 연계해 살펴봄으로써 기존 매체의 메시지가 트위터 내 여론에 미치는 역동적인 과정도 함께 살펴보았다.

• Asian Journal for Public Opinion Research
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• 제12권3호
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• pp.184-213
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• 2024

This research investigates the intricate dynamics governing loyalty and recommendation behaviors. The primary objective is to discern the impact of community development on user loyalty and its subsequent influence on product recommendations, using the Indonesian online brand community of the software Micromine as a case study. The technology acceptance model, which argues that adoption is done because of perceived ease, and cognitive dissonance theory, which describes how individuals adjust to reduce discomfort, provide the framework for this study. Utilizing a quantitative methodology, all 300 members of the online Micromine Indonesia community population were surveyed. The findings reveal that community members establish emotional connections through active participation in community forums. Satisfaction with the software's solutions in mining endeavors is prevalent among Micromine community members. Regression analysis showed that a positive attitude about the brand community was positively correlated with both brand loyalty (R² = .83) and the likelihood of recommending the brand (R² = .78). This supports both theories, where brand community members adopt technology and reduce discomfort by supporting community activities.

• 인터넷정보학회논문지
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• 제19권1호
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• pp.155-166
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• 2018

These days, online media, such as blogospheres, online communities, and social networking sites, provides the uncountable user-generated content (UGC) to discover market intelligence and business insight with. The business has been interested in consumers, and constantly requires the approach to identify consumers' opinions and competitive advantage in the competing market. Analyzing consumers' opinion about oneself and rivals can help decision makers to gain in-depth and fine-grained understanding on the human and social behavioral dynamics underlying the competition. In order to accomplish the comparison study for rival products and companies, we attempted to do competitive analysis using text mining with online UGC for two popular and competing ramens, a market leader and a market follower, in the Korean instant noodle market. Furthermore, to overcome the lack of the Korean sentiment lexicon, we developed the domain specific sentiment dictionary of Korean texts. We gathered 19,386 pieces of blogs and forum messages, developed the Korean sentiment dictionary, and defined the taxonomy for categorization. In the context of our study, we employed sentiment analysis to present consumers' opinion and statistical analysis to demonstrate the differences between the competitors. Our results show that the sentiment portrayed by the text mining clearly differentiate the two rival noodles and convincingly confirm that one is a market leader and the other is a follower. In this regard, we expect this comparison can help business decision makers to understand rich in-depth competitive intelligence hidden in the social media.

• Asian Journal for Public Opinion Research
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• 제10권1호
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• pp.4-22
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• 2022

The purpose of this study is to explore the structure of social discourse on aging in Korea by analyzing newspaper articles on aging. The analysis is composed of three steps: first, data collection and preprocessing; second, identifying the latent topics; and third, observing yearly dynamics of topics. In total, 1,472 newspaper articles that included the word "aging" within the title were collected from 10 major newspapers between 2006 and 2019. The underlying topic structure was analyzed using Latent Dirichlet Allocation (LDA), a topic modeling method widely adopted by text mining academics and researchers. Seven latent topics were generated from the LDA model, defined as social issues, death, private insurance, economic growth, national debt, labor market innovation, and income security. The topic loadings demonstrated a clear increase in public interest on topics such as national debt and labor market innovation in recent years. This study concludes that media discourse on aging has shifted towards more productivity and efficiency related issues, requiring older people to be productive citizens. Such subjectivation connotes a decreased role of the government and society by shifting the responsibility to individuals not being able to adapt successfully as productive citizens within the labor market.

• 에너지공학
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• 제17권2호
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• pp.77-87
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• 2008

2005년 중 저준위 방사성폐기물처분시설의 부지선정 과정은 목표를 달성했다는 측면에서 성공 사례로 평가할 수 있다. 그러나 과정에서 나타난 한계점들은 여전히 풀어야 할 숙제로 남아 있다. 이 정책의 성공과 한계에 대한 영향 인자와 이들 상호간의 관계를 분석함으로써 향후 관련 정책 수립 및 추진에 효과적인 틀을 제공할 수 있을 것으로 예상된다. 방사성폐기물처분시설 정책의 정성적인 요인들은 변수로 설정하여 방사성폐기물처분시설 모델을 수립하였으며 이 모델을 계산하기 위하여 통합적 분석 툴인 시스템다이내믹스를 활용하였다. 시스템다이내믹스 분석 결과를 보면 정책주체의 투명성, 지역 지원 수준, 홍보를 조절 가능한 요인으로 설정하였을 때, 찬성 논리와 반대 논리 사이에 직간접적으로 영향을 미치고 중간에 신뢰가 매우 중요한 역할을 하고 있음을 가시적으로 나타낼 수 있었다. 신뢰는 제시된 여러 인자들에 영향을 미치거나 피드백되어 의견이 결정의 방향성을 전환할 있는 정책지렛대라 할 수 있다.