• Korean journal of communication and information
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• v.60
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• pp.75-103
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• 2012

The purpose of this study is to explore the meaning and the effect of communication as social capital, which needs to be evaluated empirically focusing on corporate reputation. Also, it tried to analyze consumers' communication network in the structural, substantial, and relational level, which is to verify how characteristics and meanings of communication network structure affect to a good corporate reputation. A survey toward 200 participants was conducted during 5 days from March 29 to April 3, 2012. Characteristics of communication network structure of a corporation with higher reputation is analyzed using the index such as degree, degree centrality, and density. The findings of the study show that a corporation with higher reputation has higher network degree, degree centrality, and density compared to a corporation with lower reputation. Consumers of a corporation with higher reputation get information from various overlapping sources. It allows them to share similar interpretation, which could elevate the degree, degree centrality, and density of network. It also proved that when the network density is high, a corporation with higher reputation can distribute information much faster and easier. Moreover, in the substantial level of social capital, product/service information network has high degree and density rather than corporate issue information network. Likewise, degree and density of information acquisition network was higher than those of information provision network. Also, this study verified the effect and relationship between the network structure characteristics and corporate loyalty in a relational level. In this way, the positive effect of the degree centrality on corporate loyalty was supported. In conclusion, as consumers share more information from overlapping sources, the degree of communication network gets higher. Throughout this network, the diffusion of information among consumers would be activated, and this confirmed that corporate reputation and corporate loyalty is closely related.

• Communications for Statistical Applications and Methods
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• v.18 no.6
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• pp.675-685
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• 2011

This paper proposes a job matching function that calculates the job matching probability of a job-seeker to an employer taking the working conditions of a job-seeker and an employer into account. In addition, this study analysis the degree of centrality that means interactions of a job-seeker and an employer utilizing social network analysis. The results are follows. First, a degree of centrality is found to be severely concentrated in certain job-seekers or certain employers; in addition, there are many job-seekers and employers who have no matching results. Second, according to decision tree analysis, characteristics of a job-seeker that influences the degree of centrality are gender, age and degree of education in order of importance. The characteristics of a employer that influences the degree of centrality are proposed salary, industry classification and firm size in order of importance.

• 한국노년학
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• v.37 no.2
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• pp.329-347
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• 2017

The purpose of this study is to see if we can predict the health of seniors of community by analyzing the connection between social network degree and mental and physical health of old people who live in the areas of Gangwha Island. The subjects of the study were men and women aged 65 or over, a total of 643 that resided in Ganghwa A-county. The survey was conducted on Korean Social Life, Health and Aging Project from the year 2011 to 2012. Regression analysis was carried out using the data. The analysis results were as follows. First, it showed the relationships between income, gender, age out of demographic variables used as control variable and old persons'physical health. The research results showed that physical health was better in case of the higher incomes, men, and lower age. Second, out of demographic variables, educational background, income, age was shown to correlate with mental health. The research results showed that mental health was better in case of the higher incomes, higher educational background, and lower age. Third, in social network including direction, both out-degree and in-degree were shown to predict old people's physical and mental health. The results of this study suggest that not only out-degree but also in-degree should be considered in predicting the health of elderly persons by a person's human relationship. Also, two indicators of degree are meaningful in the dimension of health promotion and welfare of the old in that they can be used for finding isolated individuals that can be physically and mentally vulnerable.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.65-66
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• 2007

본 논문에서는 주어진 블로그 연결망의 정보 중시 성향과 친분 중시 성향의 정도를 판정하는 방안에 관하여 논의한다. 먼저, 데이터 마이닝 기법의 하나인 분류(classification)를 이용하여 블로그 연결망의 기본 단위인 관계 성향의 정도를 판정하고, 그 결과를 이용하여 주어진 연결망의 전체 성향의 정도를 판정한다. 또한, 블로그 연결망의 규모에 따라 성향의 정도가 좌우되는 문제를 해결하기 위한 기법을 제안한다. 실제 블로그 데이터를 이용한 실험을 통하여 제안하는 방안의 우수성을 검증한다.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.3
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• pp.178-188
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• 2009

A blog is a personal website where its owner publishes his/her articles for others. A blog can have relationships with other blogs. In this paper, we define a network that is composed of blogs connected together with such relationships as a blog network. Blog networks can have two different propensities characterized by the articles published in the blogs: information-valued propensity and friendship-valued propensity. The degree of each propensity of a blog network plays an important role in deciding business policies for blog networks. In this paper, we address the problem of determining the degrees of two propensities of a given blog network. First, we determine the degree of the propensity of every relationship, a basic unit of a blog network, by using classification that is one of data mining functionalities. Then, by utilizing the result thus obtained, we compute the degrees of two propensities of the whole blog network. Also, we propose a method to solve the problem that the degree of propensities depends on the size of blog networks. To verify the superiority of the proposed approach, we perform extensive experiments using a huge volume of real-world blog data. The results show that our approach provides high accuracy of around 93% in determining the degrees of both propensities of relationships between arbitrary two blogs. We also verify the applicability of the proposed approach by showing that if determines the degrees of the information-valued and friendship-valued propensities correctly in real-world blog networks.

• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.626-629
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• 2010

전통적인 프로그램 성과 평가 방법에서 간과되었던 사회 네트워크 분석을 프로그램 성과 평가에 활용할 수 있도록 평가 모형을 정립하고 이를 대학 자체학술지원 프로그램에 적용하여 네트워크 관점에서의 성과를 측정한다. 네트워크 관점에서의 성과 목표를 연결정도의 향상으로 설정한 후, 자체학술지원 프로그램의 지원을 받은 연구자들의 연결정도 향상이 통계적으로 유의미한 차이를 나타내고 있음을 보인다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.147-150
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• 2004

인터넷산업은 기술, 자본, 마케팅 등의 이유로 활발한 전략적 제휴가 이루어지고 있다. 본 논문은 최근 7년간 인터넷 산업의 기업간 전략적 제휴 사례를 조사하여 이를 바탕으로 전략제휴 네트워크화 하였다. 이 네트워크에 대해 연결정도, 밀도, 컴퍼넌트 분석을 수행하였으며, 연결정도의 분포를 분석하여 자연계, 사회시스템 등에서 많이 발견되고 있는 스케일 프리 네트워크의 성질을 갖는 지를 분석하였다. 또한 인터넷 붕괴 이전과 이후의 2기간의 전략적 제휴 네트워크의 변화 정도도 파악 하였다. 이와 같은 네트워크 모델분석은 국내 인터넷산업의 제휴 관계와 그 변화 추세 등을 거시적으로 살펴보는데 도움이 될 것이다.

• Korean Association of Arts Management
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• no.57
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• pp.59-84
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• 2021

This study examined the structure of YouTube video network and the factors for the diffusion of Chinese creator's videos through the case of famous Chinese creator Fengtimo. There is few interest to the diffusion of Chinese contents among Korean researchers, while they have been studied the consumption of Hallyu(Korean wave) contents overseas. Using the data that YouTube Data API offers, this study analysed the video network that the comments of which are same users with NodeXL tools and the regression model with JASP tools. The study found that there are three groups of the YouTube channels of that network. They are domestic official accounts of Fengtimo, foreign officail accounts of Fengtimo and individual creators' accounts. The official accounts share the videos of Fengtimo's songs and entertainment contents for the fans, where the individual creators share their own meme videos(UGC). The significant factors for the diffusion in the YouTube video network are comments, likes, out-degree, dislikes, in-degree and betweenness centrality. There are significant difference between official channel and indivisual groups on the views. And degree and betweenness centrality have mediating effect. It is necessary to conduct more research on that subject with many other cases if we want to get to know the generalized explanation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2882-2887
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• 2010

This research develops an evaluation framework of social network analysis, overlooked in traditional program evaluation, and applies to university funding research program. By setting degree increase, an indicator of level of research collaboration, as a goal from the viewpoint of network, we can conclude that researchers funded by university in a form of competition show statistically significant changes in degree increase via one-way ANOVA and permutation-based simulation. This research provides a tool for measuring and managing the degree of contribution of university funding to promoting research collaboration.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.75-82
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• 2009

Air transport markets are composed of airlines' networks through their base airports. The analysis of an air transport market has been focusing on determining the efficiency or competitiveness of airports or airlines in the market using number of routes, number of passengers, transfer rates, revenues, costs, and other data. However, little work has been done in analyzing the airport network itself. Assuming the air transport markets of Korea, China, and Japan are integrated, this paper aims to analyze the characteristics of the resulting airport network. To that end, the degree of connectivity, the degree of closeness, and the betweenness of centrality are employed. The analysis shows that Incheon International Airport is better than most other airports in terms of the degree of connectivity and that of closeness. Airports in Japan, however, exhibit strong connectivity but weak closeness and betweenness of centrality. Although it has low connectivity, Shenyang Airport has a possibility of becoming an attractive point of the integrated market in the future due to its high degree of closeness.