• Journal of Korea Multimedia Society
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• v.12 no.1
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• pp.139-146
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• 2009

This paper deals with visualization that can appropriately show the characteristics deduced from relationships between pieces of information. The visualization of influence, which is used as an important index in deducing the characteristics of relationships in social network analysis, was selected as research topic, and first, the elements that show relationships within the network and the index that show influence were classified and organized. Second, the links between relational elements that show influence in social network were examined, and an influence visualization network was created. Third, an influence visualization framework was proposed which explains the interaction between social network analysis and visualization process. The influence visualization network and framework being proposed in this paper can be used not only to understand and analyze the elements that influence social network but also to make it possible to have a rational and efficient approach to network visualization. Hopefully, they will become a new methodological approach to information design.

• Journal of the Korean Society for information Management
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• v.27 no.4
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• pp.71-87
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• 2010

In this study, we analyzed the research trend of social network analysis. We investigated how this topic can be linked to the information science. We analyzed 163 articles that were retrieved from searching "social network analysis" in the keyword search field from 2000 to 2009. The study revealed the fast growth of the research of social network analysis in recent years. Also, the study showed that social network analysis has been applied to many cognate disciplines including management science, education science, and administration science. Finally, the study showed that social network analysis is a field equally important to information science as to other disciplines. Particularly, the study demonstrated that social network analysis can be applied to bibliometrics, including webmetrics.

• Journal of Labour Economics
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• v.26 no.3
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• pp.209-230
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• 2003

This study investigates the factors affecting job seekers' utilization of social networks in Korean job markets by using the East Asia Social Survey on People's Work Life: South Korea data collected in 1996. If employees are analyzed as a whole, social networks have been used more frequently than formal means and direct application. Results of the multinomial logistic regression largely show that job seekers who occupy better positions in job markets have used social networks less frequently. This is due to the characteristics of Korean job markets: (1) Korean job markets are clearly divided by several criteria, and (2) in the sectors of job markets which provide better socioeconomic rewards, the competition through formal means is the main path of getting jobs.

• Information and Communications Magazine
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• v.29 no.5
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• pp.37-41
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• 2012

본고에서는 수많은 구성요소가 하나의 계를 이루면서 단순하지 않은 방식으로 서로 얽혀있는 상호작용을 하는 복잡계 연결망에서의 정보 확산에 관한 연구 동향을 살펴보고자 한다. 특히 복잡계 연결망 이론은 실생활에서 나타나는 다양한 연결구조와 이와 관련된 사회현상을 자연과학의 이론을 통해 분석 및 해석하는 분야로, 다양한 학제간의 융합연구로 각광받고 있다. 특히 복잡계 연결망의 최근 연구 결과를 비롯하여 실생활에 존재하는 다양한 대용량 자료를 활용한 사회 동역학과 정보 확산에 관한 최근 연구 동향 분석을 통해 재해의 확산 및 재난 상황에서의 행동 양상 형성 및 전파 등의 연구에 활용하고자 한다.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.438-447
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• 2012

This study was to explore the social network structure of professional volleyball players and analyze network variables and resource exchange. This study selected 127 players of Korean professional volleyball in ten team of male and female using the purposive sampling method. The research method utilized general social survey of NGQ(Name Generator Question) and interview. To analyze data, NetMiner 3.0 and SNA(social network analysis) were used. The conclusion based on above study method and the result of material analysis are here below. First, social network of professional volleyball players is scale-free network following power law. Centrality and herb of club members' network show up richer-get-richer and poor-get-poor by collecting links of back of beyond. Second, social network structure of professional volleyball players influence resource exchange.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.187-196
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• 2020

This study attempted to examine the structural characteristics of the social network of nursing units by dividing them into a job-related advice network and a friendship network, and to analyze the relationship between nurse organizational commitment and intent to leave. The subjects were 420 nurses working in 4 hospitals and 30 nursing units. Data were analyzed using UCINET 6.0, SPSS 20.0 and HLM 7.0. In job-related advice networks, degree centrality of head nurse contributed to organizational commitment. Network density contributed to intent to leave. In friendship networks, closeness centrality of head nurses and betweenness centrality of charge nurse contributed to organizational commitment. Density and betweenness centrality of charge nurses contributed to intent to leave. Accordingly, it is necessary to foster good relationships between nurses and to develop various types of strategies for building effective networks.

• Journal of the Korea Convergence Society
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• v.6 no.1
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• pp.77-83
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• 2015

Though the SNA (social network analysis ; SNA) has been used for various fields, esp. social science field, ig. politics, journalism, and science of public administration as well as natural science field, there are few studies about the introduction of analysis tools. In order to perform the SNA, collecting data which are fit for the purpose, statistical values deduction and visualized results made by analysis tool are necessary, but the studies, which explain them systematically, are not sufficient yet. So, in this study, we are intended to introduce the analytic process, from the data input to the interpretation, with proven data. using the R program, which is free, in order to help researchers who have any plan to study using the SNA. The proven data in this study are quoted ones in the domestic scientific journals of food, which are those supplied citation index DB of Korean scientific journals. As a study methodology, the SNA is a new paradigm to substitute existing research methods as well as a complement of statistical analysis. Therefore, this study would contribute to vitalization of the SNA.

• Korea journal of population studies
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• v.35 no.2
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• pp.185-208
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• 2012

This study examines how married immigrant women's social networks affect their life satisfaction in Korea. A multiple-regression analysis is conducted using data from Nationwide Multicultural Family Survey in 2009. The major findings are as follows. First, the frequency of keeping in touch with their family in the mother country significantly affects the level of satisfaction, while the family size in Korea is not making a significant difference. Second, the strength of "Korean Network" - strong bridging network - is highlighted. Third, family gathering variables affect the level of satisfaction. An interesting point is found from the nationality segmentation. The case of women from Japan, with the longest duration in Korea, shows that both of the family and the non-family gathering variables significantly affect the life satisfaction. It is interpreted that family network dominates in the earlier stage of marriage, but the other social networks also play the role as the duration extends.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.337-338
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• 2015

본 연구는 알츠하이머 관련 의료웹포럼을 장기적으로 사용한 사람의 사회연결망 영향력 사이의 관계를 살펴보았다. 빈도분석결과 알츠하이머 병의 의료웹포럼을 2개월 이하로 사용한 유저가 전체의 76%에 해당함을 발견하였다. 사회연결망분석을 통해 장기적으로 사용한 고객들이 연결중심성이 높은 그룹임을 확인하였고, 상관성분석 결과 연결중심성과 이용기간과의 유의한 상관성을 발견하였다. 이와 같은 결과를 통해 향후 의료 웹포럼을 활성화 시키기 위한 전략수립을 위한 기초자료를 제공하고자 하였다.

• KDI Journal of Economic Policy
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• v.36 no.2
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• pp.175-196
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• 2014

This paper is a theoretical attempt to analyze and understand Yeonjulmang and Yeongyeolmang, which are terms for social networks with negative and positive connotation respectively in Korean Sociology. To do that, we analyze a social network where unilateral help are reciprocated. A social network in this context is a network where the past behaviors of its members are transmitted. With the information how the members behaved before, a social norm can emerge in the network, which facilitate the indirect reciprocation of unilateral help. In this norm, an agent's helping now will be rewarded by his being helped in the future. Since the reward happens in the future, this norm may not be sustained even if it is efficient. To sustain the reciprocation of the help, a norm can evolve to punish the violation of the norm more severely. If the punishment becomes too severe, the reciprocation of the help can be sustained even if it is not efficient any more in that the cost of help exceeds the benefit. If we allow the exit of the network, members have incentive to do it as belonging to the network is not beneficial any more. Then the social network may collapse. To avoid the collapse of the network, the exclusive norm, which exclude even mutually beneficial relationship with outsiders, may emerge. This can explain the emergence of Yeonjulmang, or a closed network, which is inefficient in double senses; 1) it may sustain inefficient reciprocation of help, and 2) the mutually beneficial relationship is excluded between an insider and an outsider of the network.