• The Journal of the Korea Contents Association
• /
• v.13 no.4
• /
• pp.427-439
• /
• 2013

With the fast development of complex science, lots of social networks are studied. We know that the social network is widely applied in analyzing issues in human culture, economics and web sciences. Recently we witness that some researchers began to compare the social network constructed from fiction literatures(literature social network) and the real social network obtained from practice. But we point that previous approaches for literature social network have some drawbacks since they completely depend on the biographical dictionary constructed for a designated literature. So since the previous approach focus on the few important characters and peoples around them, we can not understand the global structure of all characters appeared in the literature at least once. We propose one method to extract all characters appeared in the literature and how to make the social network from that information. Also we newly propose K-critical network by applying frequency of the named characters and the strength of relationship among all textual characters. Our experiment shows that the K-critical measure could be one crucial quantitative measure to compute the relationship strength among characters appeared in the object literature.

• Information Systems Review
• /
• v.13 no.1
• /
• pp.75-96
• /
• 2011

This research uses coolhunting to predict the future trend of e-Commerce industry. Coolhunting is a method to take Cool Trends which are the future trend through social network analysis for discovering the trendsetter and its collective intelligence. Coolhunting is generally carried out by social network analysis while this research uses NodeXL of social network analysis tools. We designed industrial network research model for relation among e-Commerce corporation, product, the types of customer service and customer service employee to discover the Cool Trends of e-Commerce industry. According to the result of this research, e-Commerce industrial network was being changed from chaos to collective intelligence form. As a analysis result for network influences, we found that Cool Trends of e-Commerce industry invigorate social commerce industry through the collective intelligence focusing intelligence VIP, Excellence, grade of Administrating for women customers(trendsetter) and it promotes semantic consumption from customers and purchasing power will be concentrated on cosmetic, beauty, perfume product categories in social commerce. We propose the strategic direction for e-Commerce corporation and hope that domestic e-Commerce corporation continues to grow and high-quality services are provided for customers.

• Journal of Digital Convergence
• /
• v.16 no.4
• /
• pp.95-105
• /
• 2018

This study empirically test the roles of network closure and structural hole on radical innovation in technological knowledge exchange network in Gumi cluster. In doing so, we build 2,550 firm network, transforming association*firm(2-mode) to firm*firm(1-mode) network data. In addition, in order to investigate firms' attributes, we conduct survey for 101 firms in Gumi cluster using random sampling, and finally collect 86 firm samples. For analysis, we use ridge regression since network density and efficiency, indices of network closure and structural hole respectively, has a high level of multicollinearity. The findings show that structural hole has a significant and positive impact on radical innovation, but network closure has a significant and negative impact on radical innovation. This study contributes to present an empirical evidence of debate on network closure and structural hole based on past conceptual discussions and literature review and further goes a long way towards strategy formulation to establish social capital in accomplishing radical innovation. Further research is required that pays closer attention to features of technological knowledge, innovation types and interaction between network closure and structural hole, directing efforts to structural characteristics of various networks.

• Journal of the Korean Data and Information Science Society
• /
• v.22 no.6
• /
• pp.1053-1063
• /
• 2011

Social network analysis is the social statistical analysis of any social structure involving a stream of mutual information between observations. In this study we used the results of passes between players in a soccer game. The analysis contents are as follows. (1) Players with important or leading roles are identified. (2) Players are assessed by pass frequency and the success rate of passes. The purpose of this study is for use as basic data for future team strategy, and achieves this by evaluating the role of each individual player within a team. In this study, social network analysis without separating positions is conducted, and is also performed for defensive and attacking positions respectively. The results of this study are as follows: First, when complete team data were available, the players performing leadership roles were Jung-woo Kim, Sung-yeung Ki and Chung-young Lee, whereas Jeong-su Lee acted as a sub-leader. In case of data for defensive positions Jeong-su Lee was a leading player, and in terms of attacking positions, all of the players excelled in the game and could be evaluated as playing lead roles.

• Electronics and Telecommunications Trends
• /
• v.27 no.6
• /
• pp.182-196
• /
• 2012

본고에서는 미래인터넷 환경으로서 사람 사물 공간 간의 새로운 관계망으로서의 만물지능통신 기반 초연결 네트워크(All Things on Ambient Network: ATAN)에 주목한다. ATAN은 네트워크를 구성하는 행위 주체로서 인간과 인간의 소통에서 인간과 사물, 사물과 사물, 공간과 공간으로 확장되어 데이터, 정보 그리고 행동을 초연결하는 시스템의 총체로 본다. 본고에서는 ATAN이 포스트 스마트 사회 인프라로 이행하는 기여 지점에서 인간과 비인간의 의사소통 티핑 포인트(tipping point)로서의 ATAN 싱귤래리티(singularity) 개념이 존재함을 제안한다. 이러한 전제하에서 ATAN 싱귤래리티의 발생 구도를 설정하고, 웹의 과거 현재 미래 고찰을 통해 ATAN 패러다임으로 전개되는 과정을 고찰한다. 또한 주요국의 미래인터넷 전략 분석을 통하여 ATAN으로의 공통 지향성을 추출한다. 이러한 작업을 통해 우리나라의 미래 네트워크의 전략적 콘셉트로서 ATAN 국가전략기조를 제시한다. 마지막으로 첨단 네트워크 기술이 사회변형을 촉진하고 사회가 기술을 인간 중심으로 수용하는 건강한 기술사회 복합체(technology-social complex)를 지향할 것을 강조하였다.

• Journal of Navigation and Port Research
• /
• v.39 no.3
• /
• pp.217-222
• /
• 2015

In this research, sea routes of domestic coaster liners between 2005 and 2013 were studied via social network analysis. Study of the sea routes revealed that they follow power-law in a scale-free form, a characteristic found often in social network. We have looked into centrality, which is a major standard in the field of social network analysis. We have also analyzed the annual changing trend in the centrality of the connectivity, examined the effect of quantity through the comparison with the original quantitative analysis method, and lastly, verified the relationship between the centrality of connectivity and mediation. Then, we were able to identify ports according to priority using these factors. This research assumed and interpreted the coaster liners route as a single network and suggested useful results. Based on these results, directing of development of domestic coaster liners route development and other factors will be achieved more smoothly. And if we utilize social network analysis method in other various fields - for example, the centrality of airport and the diplomatic realations analysis of the neighboring country - we will be able to effectively analyze events in diverse perspectives.

• Journal of Korea Society of Industrial Information Systems
• /
• v.27 no.5
• /
• pp.83-98
• /
• 2022

As the complexity of social problems and interdependency increased significantly, research on social entrepreneurship(SEship) increased rapidly. In this study, systematic approaches(bibliometrics analysis, citation network analysis, and keyword network analysis) were performed to identify research trends in business administration. To this end, keywords of 883 SEship papers published in prominent journals in the SCOPUS database were collected to investigate the existing research flow. The results of this study can be helpful for grasping the perspective of scholars in the business administration on SEship research and determining research topics through understanding related concepts.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.24 no.1
• /
• pp.149-169
• /
• 2013

This exploratory study analyzed the structure of collaborative network among small libraries. The survey was conducted with the small libraries in Bucheon region. In order to analyze the structural features of the network, this study used social network analysis methods. The results of the study indicate that public small libraries has high density networks with other small libraries and performed a central role in the whole network. Private small libraries were, however, isolated in the whole network indicating their weak collaboration with other small libraries.

• Informatization Policy
• /
• v.18 no.3
• /
• pp.25-49
• /
• 2011

As a way to gather diverse information required for everyday living, the importance of social networks has been growing. Social network services have been spreading rapidly because of diffusion of the Internet, evolution of social network sites, and recognition of the importance of social networks. Recently, the social network service has been evolved based on a new paradigm, Web 2.0, pursuing participation and openness. Following the adoption of Web 2.0 technologies, the social network service allows users to make and maintain new relationships in a more convenient way. Users of the social network service tend to reveal their personal information, and share their ideas and content with other people; in the process they become aware of their existence, feel satisfaction with life and exert influence to others as a member of the society. This study uses higher order factor analysis to analyze factors that affect the intention of using the social network service. A research model was developed with second-order factors including perceived social presence, perceived gratification and perceived social influence. First-order factors are grouped by technical, individual and social factors. Smart PLS 2.0 was used to conduct empirical analysis. The analysis results supported the validity of the research model.

• Proceedings of the KAIS Fall Conference
• /
• 2010.11b
• /
• pp.721-724
• /
• 2010

경제 불황으로 기업들의 구조조정이 가시화되면서 고용 축소와 청년실업이 늘어나면서 창업이나 경영을 통해 경제적 독립과 자아실현을 이루려는 창업가들이 점차 증가하고 있으며, 그에 따른 학계 연구의 필요성도 대두되고 있다. 본 연구는 이러한 연구 필요성에 따라 창업의도에 결정요인으로서 사회적 네트워크와 자아 효능감을 개인특성요인의 핵심변수로 설정하여 창업활동과 창업목표달성에 미치는 영향을 중심으로 살펴보았다. 본 연구를 위해 국내 창업가를 대상으로 208부를 분석에 이용하였다. 가설검증 결과, 사회적 네트워크의 강한 유대가 창업의도에 유의한 영향을 미치는 것으로 나타났으며, 창업활동에는 약한 유대가 영향을 나타나는 것으로 분석되었으며, Podolny와 Baron(1997) 네트워크의 특성에 따라 네트워크 강도의 효과가 달라질 수 있다는 주장과 일치하는 것을 발견 할 수 있었다. 또한 자아효능감은 창업활동보다 창업의도에 더 영향을 미치는 것으로 나타났다. 이러한 연구결과를 통해 목표달성을 분석한 결과 창업의도보다 창업활동이 목표달성에 더 유의 한 영향을 미치는 것을 알 수 있었다.