• Korean Security Journal
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• no.37
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• pp.165-195
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• 2013

Today, the importance of social capital is emphasized in modern industry as the third capital. Social capital involves "trust and norms for members" and "social network" related to effective human resource management, which is being investigated actively by many researchers. However, It is difficult to see the report on the social capital of private security industry employees. So, this report suggests effective management practices of employees through the empirical analysis on the relationship between social capital and job satisfaction with a focus on the role of mediation for job characteristics. For the most, this research through analysis on relationship between social capital and job satisfaction shows that of the components of social capital, trust and networks influence effect on job satisfaction significantly. Secondly, as result of analysis on role of mediation for job satisfaction, importance of job involved in job characteristics has an effect of mediation. This result of empirical analysis menas that the pressure of private security industry employees is reduced and cooperation which is based on social capital is need through members' trust and social network. Therefore, the strategy of management about private security industry employees should be considered for both activation of social capital and maintenance.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.205-216
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• 2016

This study aimed to discover the most influential player in the network of Soccer game and how individual players contribute within the team with quantitative capabilities they possess. It also examined whether or not the network of relationship between players and the coach's tactics were in harmony. The results showed high level of correlation between the network between offenders and defenders according to tactics of the coach during the first half. It can be said that each players fulfilled their role and formed a network within them to lead the game and form a virtuous network structure. On the other hand, the overall network of the team was focused on a specific player during the second half. But the coach's appropriate use of substitutes and change in tactics stabilized the network balance between the players.

• Korean Journal of Social Welfare
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• v.62 no.4
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• pp.223-248
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• 2010

This study is to explore the contents and interaction of residents voluntary network and propose the strategies to promote residents voluntary network. The grounded theory was utilized to attain our object. Total of seven social worker and 17 residents participated in the study. Data were collected through in-depth interviews and documents. The data were analyzed by using Strauss and Corbin's method. Results are the followings. In open coding 13 categories, 32 subcategories and 133 concepts were constructed. In axial coding causal conditions were qualitative ascent of needs, emergence of the right welfare consumer. Phenomenon was agitation of praxis ground and grope of exist. Contextual conditions were crisis resources, skepticism of welfare. Intervention conditions were maturation of welfare cognition and proliferation of the sense of community responsibility. Strategy were resocialization of voluntary organization and construction of field related service delivery system. Consequence were grass routing welfare strategic fitting service system. In selective coding we constructed the core category: The praxis revolution from bottom for break social welfare environment.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.544-553
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• 2020

This study was intended to examine the academic role of social welfare by analysis the trends of empathic research in the field of social welfare studies in Korea, and to explore the direction and tasks to move forward. For this purpose, technical analysis and language network analysis were performed based on the category system and the frequency of simultaneous language presentation by selecting academic papers related to empathy in the field of social welfare studies in Korea from 2000 to June 2020. According to the analysis, the number of empathic studies in the social welfare field has increased steadily since 2000, and the number of studies in the last three years has increased significantly, and the research field has been mainly in the "social welfare general" category. In terms of research, the most common research was related to empathy and the relationship between other variables, while quantitative research was the most important method used in the research. As empathic-related research increase in social welfare studies, such research results require efforts such as expansion of research field and research contents and attempts of various research methods.

• The Korean Journal of Applied Statistics
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• v.26 no.4
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• pp.661-674
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• 2013

We investigate the class registration behavior of college students with data collected from the spring semester of 2012. The network originally consists of a 2-mode network between a student and class subjects. We first transform the 2-mode network into 1-mode network of students. We also subdivide it into a smaller network such as components and communities to understand the detailed behavior of students in class registration. Finally, the relationship between GPA and the centrality measures, gender, and grade of students is analyzed using a multiple regression analysis.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.257-266
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• 2011

Over the society the trial for several systems to be connected with Network has been continued to share information and to make it various. In accordance with such a change, the concept of military warfare conduction has been changing form platform centric warfare in separate combat system based on network centric warfare in network based. We have continuously made an effort that we try to get the goal with efficient system which is linked up with network, but such a study on that one in military system analysis is still slower than the study out of military until now. So this study is searching network influence factor by using military network with application of social network analysis method which is used broadly in the society and the science as well. At this time we search co-relationships between social network and the thing that we can analyse C2 time by effectiveness measurement means. By this study it has value of network influence factor identification for the growing network composition.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.33-46
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• 2021

Using news big data analysis, this study was aimed to examine the suicide phenomena in Korean society, and to evaluate whether suicide prevention policies reflect social phenomena appropriately. For this purpose, 9,142 news titles with suicide as the keyword were collected from eight central newspapers between 2000 to 2018. Nouns were extracted, and data was refined for network analysis. The total period was divided into 4 periods based on the 1st and 2nd suicide prevention policies, and the characteristics of suicide phenomena in each period were identified through the top 50 frequent main words and the clusters. As a result, period 1 (2000~2003) with 6 clusters (military, internet environment, economic problems, pessimism, school, corruption), period 2 (2004~2008) with 8 clusters (high social class, school, economic problems, suicide attempts, family issues, social problems, military, responsibilities), period 3 (2009~2013) with 6 clusters (school, family issues, suicide attempts, occupation, military, investigation), and period 4 (2014~2018) with 8 clusters (military, suicide insurance money, family issues, suicide attempts, occupation, job stress, celebrity, corruption) were identified. Study results suggested the characteristics of suicide phenomena in our society. Further, the appropriateness of the implementation of suicide prevention policies was discussed.

• Proceedings of the IEEK Conference
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• 2003.07a
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• pp.410-413
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• 2003

본 논문에서는 네트워크가 막연히 무작위적이라고 하기에는 사회나 세포, 인터넷 등이 어떤 법칙에 따라 짜연진 것처럼 보인다. 하지만 복잡한 네트워크의 모습이 네트워크의 모델과 실제로 똑같은지를 비교하기는 그리 쉬운 문제가 아니다. 무작위적 네트워크의 경우는 수학적으로 엄밀히 말하자면 쁘아송분포를 따른다. 쁘아송분포에서는 모든 점들이 동일한 확률로 여러 점들에 연결되는 기회를 갖는다. 즉 균일한 분포이다. 따라서 상당히 적거나 반대로 상당히 많은 수의 연결선을 가진 점은 극히 드물다. 이 경우 연결선 분포가 종 모양이 된다. 대부분의 점들이 곡선에 해당하는 연결선 수를 갖게 된다. 본 논문에서 쁘아송분포와 회귀분석을 통하여 하나 또는 둘 이상의 변수들 사이에 어떤 관계를 함수관계로 나타내어 분석하는 방법을 보이고 회귀분석 방법에 의해서 미래를 예측하고자 한다.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.424-431
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• 2007

본 연구는 관계망 시각화에 이용되는 데이터의 특성을 분석하고 그에 맞는 시각화 요소를 추출하여 시각화하는 것에 관한 연구이다. 사회 관계망 시각화는 점과 선을 기초 요소로 하여 점은 사회적 요소(actor), 선은 관계(relation)를 의미한다, 점과 선은 시각화에 사용되는 데이터의 특성에 따라 다양한 형태를 갖게 된다. 이 논문에서는 관계망 시각화에 사용되는 데이터의 특성을 데이터의 형태, 관계, 상태에 따라 분류하고, 각각의 특성에 맞는 관계망 시각화의 형태를 추출하고, 그에 따른 시각화 요소를 추출하였다. 이를 바탕으로 모바일 커뮤니케이션을 통해 형성되는 인맥 네트워크를 시각화함으로써, 인맥 네트워크 구성원 간의 친밀도를 효과적으로 파악할 수 있는 방법에 대해 제시하였다. 또한, 시각화의 결과를 이용하여 휴대전화로 인맥 네트워크를 유지, 관리하기 위한 서비스를 제안하였다. 이러한 연구는 데이터의 특성에 맞는 시각화의 요소를 추출하고, 데이터의 형태, 관계, 상태를 직관적으로 제공함으로써 사용자로 하여금 자신의 인맥 네트워크 구성원들의 친밀도와 관계 형태, 상태를 파악하여 자신의 인맥을 유지, 관리하고 보수할 수 있도록 한다.

• Proceedings of the Korean Society for Information Management Conference
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• 2012.08a
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• pp.3-6
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• 2012

본 연구의 목적은 도서관 이용자들의 일상생활에서 공간들이 어떠한 관계성을 가지고 이용되는지를 분석하는 것이다. 관계성을 파악하기 위한 데이터로 미국 Puget Sound Region Transportation Department에서 수집한 Household Travel Survey 데이터를 이용하였다. 데이터 분석을 위한 도구로 소셜 네트워크 분석도구 중의 하나인 NodeXL을 사용하였다. 분석결과 선행연구에서와 유사하게 슈퍼마켓, 레스토랑, 쇼핑몰 등이 도서관 이용과 공간적으로 연관성이 있음이 나타났다. 또한 전체 이용자의 분석결과와 비교하여 도서관 이용자만이 가지고 사회적 공간이용의 특성을 발견되었고 도서관 정책개발에 이러한 특성이 반영될 필요가 있음을 제안하였다.