• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.441-447
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• 2018

This study aimed to investigate the effect of firefighters' social capital on subjective happiness. This research was conducted from Jun 12 to Aug 25, 2017, and a descriptive analysis, t-test, hierarchical regression analysis was carried out based on the results of a survey with 351 firefighters in Gyeonggi-do to verify the research hypothesis. As a result, it was revealed that network(${\beta}=.315$, p<.001), trust(${\beta}=.293$, p<.01), cooperation(${\beta}=.225$, p<.01) and trust among other sub-variables of firefighters' social capital had significant effects on subjective happiness. Based on the results, this research suggested that various measures to strengthen social capital would be required in order to improve fire-fighters' happiness: efforts to increase trust within the organization, political support for vitalizing formal network as a communication channel among firefighters organizations, encouraging interest in the community and promoting informal network such as volunteer work, developing transparency in operating the organizational policy and system, etc.

• Information Systems Review
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• v.22 no.3
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• pp.99-118
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• 2020

At present, our society is developing into the intelligent information society in the wave of the 4th industrial revolution, and this change will have the positive effect of innovating all industry fields. However, due to the duality of technology, there will be positive and negative effects. With intelligence, threats to cyber dysfunction such as hacking, terrorism, privacy infringement, and illegal content distribution will become more serious. Until now, the security system of the Internet has been a proactive security system, but in recent years, a proposal for a trust network, a preventive security system, has been introduced. Therefore, this study aims to analyze the possibility of resolving cyber dysfunction of intelligent information society about Bright Internet, one of trust network technologies. This study defines the cyber dysfunction of the intelligent information society and analyzes the perceptions of changes in the cyber dysfunction of the intelligent information society on the introduction of the five principles of the Bright Internet. The change of cyber dysfunction severity of the intelligent information society due to the introduction of the trust network is analyzed to reflect the technical and social demands. This work will guide the structure of the trust network and the direction of practical technological introduction and its influence.

• Journal of Korean Library and Information Science Society
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• v.53 no.1
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• pp.191-210
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• 2022

Niklas Luhmann is a sociologist who has had a strong influence on other disciplines. Therefore, it is necessary to examine what Luhmann's theory has influenced on his subsequent researchers. This study analyzed the knowledge network of studies on Niklas Luhmann's theory by follow-up researchers. Bibliographic coupling and co-citation were used as the analysis method of knowledge network. The main results are as follows. First, the language clusters were divided into Latin American / Spanish-speaking regions, Western Europe / Anglo-American regions, Eastern / Northern Europe and other language regions through bibliographic coupling analysis. Second, from the node analysis of bibliographic coupling, It was divided into 2 main cases: where Luhmann's major works were cited; where Luhmann's minor works were cited. Third, it was found that there are the core work groups that are repeatedly cited among Luhmann's works. Fourth, 12 core works were derived from the node analysis of the co-citation network, and appeared in four groups according to themes.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.237-247
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• 2017

The Effects of Social Capital on Occupational Aspiration in University Students This study aims to understand the impact of social capital (parent-child relationship, human network, and SNS use) on the occupational aspiration level in university students based on Coleman's Social Capital Concept. To achieve this, statistical significance test was conducted through correlation analysis and hierarchical multiple regression analysis. The major study findings are as follows. As a result of correlation analysis, it was found that Other variables, except for parent's occupational of social capital had a positive effect on vocational aspiration. Also. as a result of hierarchical multiple regression analysis, it was found that parent-child relationship, human network obtained from social activities, Social Networking Service use and usefulness of information - social capital factors - had a statistically significant impact on occupational aspiration. Such findings suggest that the process of possessing and acquiring social capital among university students served as an important achievement-oriented value in terms of social mobility.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.48-63
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• 2019

We tried new analysis including social network analysis(SNA) on the transaction network centered on electronic companies using more than 50 thousand company transaction data obtained from Korean enterprise data (KED) for the year of 2015. We found 97 clusters having more than 10 firms and remarkable 13 clusters having more than 90% sales of the electronic industry in Korea. Clusters are the groups of companies having most of their transactions in the clusters they belong to. We found 5 clusters have 83% of sales in the electronic industry. Most of clusters have main single firms having most of the sales in each clusters except a few clusters. However, we found a few firms to have high rear production linkage effect and found the firms with high linkage effect specially for the small and medium size enterprise (SME). The companies with high production linkage (specially on SMEs) should be managed in terms of (SME) growth policy. The last firm group consisting of the small clusters with less than 10 firms has high employment coefficients. The clusters or company having high production linkage effect on this last firm group should be noted in the terms of employment policy. We also note that there exist the firms with the high value of betweenness coefficients meaning high potential of technology development. They should be managed carefully in terms of technology development policy.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.5
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• pp.209-216
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• 2013

In traditional social network analysis, the betweenness centrality measure has been heavily used to identify the relative importance of nodes in terms of message delivery. Since the time complexity to calculate the betweenness centrality is very high, however, it is difficult to get it of each node in large-scale social network where there are so many nodes and edges. In this paper, we define a new type of network, called the expanded ego network, which is built only with each node's local information, i.e., neighbor information of the node's neighbor nodes, and also define a new measure, called the expended ego betweenness centrality. Through the intensive experiment with Barab$\acute{a}$si-Albert network model to generate the scale-free networks which most social networks have as their embedded feature, we also show that the nodes' importance rank based on the expanded ego betweenness centrality has high similarity with that based on the traditional betweenness centrality.

• Korean Journal of Legislative Studies
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• v.23 no.2
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• pp.179-217
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• 2017

The purpose of this study is to analyze the integration and separation phenomenon of the legislative network by analyzing the Legislative cosponsorship networks in the process of multicultural, family, and gender legislation. First, I analyzed the Legislative cosponsorship networks centered on the proposed bills in the Women and Family Committee. Second, Analyze the network of joint initiatives for multicultural, family, gender related legislation and representative laws in each field. In this process, we analyze who participates in the Legislative cosponsorship networks and who is the leader of the political coalition. Finally, Understand the shared characteristics and differentiated characteristics of policy networks according to policy issues.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.389-395
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• 2006

이 연구는 사회관계망의 형태와 구성원에 관한 정보를 분석하여 모바일로 서비스하는 것에 관한 연구이다. 사람들은 얽히고 설킨 다양한 인간 관계를 갖고 있다. 인간 관계를 유지하기 위해 여러 채널을 통해 커뮤니케이션을 하게 된다. 실생활에서 갖게 되는 인간 관계의 형태와 가장 비슷한 형태의 커뮤니케이션 채널은 휴대전화이다. 사회관계망 이론의 관점에서 보면 휴대전화의 사용은 기존의 인맥에서 친밀도가 적은 사람에게는 영향이 크지 않지만 친밀도가 높은 사람에게는 더욱 친밀하게 만드는 영향을 준다. 이 연구에서는 휴대전화의 통화상대, 통화시간, 통화량 등의 정보가 나타나있는 통화기록에 기반하여 일정기간 동안 통화한 상대들을 추출하였다. 통화기록의 정보를 사회 관계망 분석 도구인 UCINET으로 분석한 결과 휴대전화를 매개로 한 사회관계망의 형태가 자아 중심적 관계망과 같은 형태를 지니고 있다는 사실을 도출해냈다. 그리고 자아 중심적 관계망의 분석 기법을 이용하여 관계망의 중심에 있는 자아와 통화상대와의 관계를 분석하였다. 또한 통화상대들의 휴대전화 통화기록을 통해 서로 관계가 있는지에 대해 알아보았다. 그 결과 자아의 인맥 네트워크 안에 있는 사람들을 그룹화하고 그들의 나이, 성별, 직업에 의해 어떠한 특징을 갖는 그룹인지 분석하였다. 이러한 연구는 휴대전화를 통해 자신의 인간 관계 형태를 파악하여 관계를 관리하고 유지할 수 있는 새로운 모바일 서비스 개발을 위해 활용될 수 있을 것이다.

• Informatization Policy
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• v.17 no.3
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• pp.3-20
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• 2010

The purpose of this paper is to review research articles on social computing and to provide the future directions of the study. A total of 51 articles published in social scientific journals from 2006 to 2010 are analysed by research theme, methodology, level of analysis, and application area. It is found that most of the studies are addressing blogs and mainly focusing on societal concepts rather than organizational concepts. The predominant methodology is field study at the individual level of analysis. We suggest that future researches on social computing need to address more various topics and application areas. Also diversity in terms of methodology and level of analysis is required.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.87-102
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• 2009

With the growth of Web 2.0, lots of services allow yours to post their personal information and useful knowledges on networked information spaces such as blogs and online communities etc. As the services are generalized, recent researches related to social network have gained momentum. However, most social network services do not support machine-processable semantic knowledge, so that the information cannot be shared and reused between different domains. Moreover, as explicit definitions of relationships between individual social entities do not be described, it is difficult to analyze social network for inferring unknown semantic relationships. To overcome these limitations, in this paper, we propose a social network analysis system with personal photographic data up-loaded by virtual community users. By using ontology, an informative connectivity between a face entity extracted from photo data and a person entity which already have social relationships was defined clearly and semantic social links were inferred with domain rules. Then the inferred links were provided to yours as a visualized graph. Based on the graph, more efficient social network analysis was achieved in online community.