• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.513-521
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• 2024

This study aims to investigate how the social capital of middle school students is influenced by their grades, attitudes, and school interests, which are defined as school adjustment flexibility, and how they affect the social capital of middle school students. This study aims to provide a basis for policy discussions on how to shape the social capital of adolescents. The results of the analysis show that school adjustment flexibility has an impact on each factor of social capital. Trust is positively related to school attitudes, and norms are positively related to school compliance and school interest. Network has a positive effect on school attitude and a negative effect on school enjoyment. These results suggest that the higher the ability to follow the rules, the higher the norms of social capital, which suggests that social norms internalized at the individual level also affect group norms, which are the standards of behavior or rituals that members of a group follow when they want to behave as expected of them. We were able to find out that the normative domain of social capital is expanded by increasing the interest in school life of elementary and middle school students, and we confirmed that school class attitude is a major influencing factor in developing the network of social capital. Therefore, in order to increase the social capital capacity of elementary and middle school students, it is necessary to devise a plan to form various networks through multifaceted efforts to increase interest in school life and changes in school class attitude.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.394-396
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• 2002

최근 인가되지 않은 컴퓨터에 대한 접근이 사회적으로 커다란 문제로 대두되고 있으며, 점차 파괴적인 상황으로까지 악화되어 가고 있다. 따라서 이러한 침입 행위에 대해 침입자들을 추적하여 경고를 줄 수 있는 보다 능동적인 대응이 필요하게 되었다. 이 문제에 대한 많은 해결책이 제시 되었으나 완벽한 대안이 되지는 못하고 있는 실정이며, 오히려 대부분의 경우 숙련된 시스템 관리자의 경험에 의존하는 경향이다. 따라서 침입의 경우에 대비해 어떠한 새로운 상황이 발생하더라도 시스템을 유지할 수 있도록 시스템 관리자들을 훈련시킬 필요가 있다. 본 논문에서는 시스템 관리자들을 훈련하기 위하여 시뮬레이션 기반의 공격자 추적 시스템을 제안한다. 본 시스템은 가상의 지역 네트워크 환경에서 시스템의 간섭 없이 약속된 시나리오에 의한 공격 경로를 분석하고 다양한 형태의 공격 형태를 연습하고 배우는 기능을 제공한다. 이 시스템은 두 가지 주요 문제에 대해 학생들을 훈련시킨다. 첫째, 공격 형태를 발견하는 것이며, 둘째, 다양한 로그 데이터를 분석하여 공격이 이루어진 흔적을 발견해 내는 것이다. 시스템의 테스트 영역은 LINUX 기반의 환경으로 그 범위는 다양한 형태들의 로그 데이터들을 종합하여 분석하는 것으로 제한 한다.

• 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.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.20-29
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• 2021

This study aims to explore the issue of drones and crime in newspaper articles. BIG KINDS, an online news archive of the Korea Press Foundation, collected 1,213 newspaper articles that met the terms of "drone" and "crime" in 11 central and 28 regional comprehensive newspapers between January 1, 1990 and May 1, 2021. Among them, we perform keyword frequency, centrality analysis, network structure construction, CONCOR analysis, and density matrix analysis on 117 key keywords. According to the analysis, the main issues were classified into eight, and the report analysis on drones and crimes in newspaper articles showed that the government's policy-making and social problems on protecting people's privacy, preventing illegal filming, securing navigation safety, social security and resolution. This study attempts to expand the field of humanities and social studies related to drones and crime, and specifically suggests the current status and counterplan against drone-related crimes as policy implications and media implications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.10
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• pp.2309-2315
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• 2012

The objective of this research is to suggest how to keep the continuous customers and how to build business model and marketing strategy. In detail, this research aims to closely examine the relationship among SNS quality(service quality, information quality, system quality) for airline customers, relational benefit(social benefits, psychological benefit, customization benefit, economic benefit) and customer satisfaction. As a result, if SNS quality is getting better, relational benefit better is higher. Specifically service information quality is more impactive to relational benefit than system quality. The effect of psychological customization benefits from SNS quality is the strongest to customer satisfaction of all factors. To conclude, the results of this research can be the guideline when designing marketing strategies for airline customers and for traditional tourism customers who use SNS.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.11
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• pp.419-426
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• 2018

Due to the FMD(foot-and-mouth disease), the domestic animal husbandry and related industries suffer enormous damage every year. Although various academic researches related to FMD are ongoing, engineering studies on the social effects of FMD are very limited. In this study, we propose a systematic methodology to analyze emotional responses of regular citizens on FMD using text mining techniques. The proposed system first collects data related to FMD from the tweets posted on Twitter, and then performs a polarity classification process using a deep-learning technique. Second, keywords are extracted from the tweet using LDA, which is one of the typical techniques of topic modeling, and a keyword network is constructed from the extracted keywords. Finally, we analyze the various social effects of regular citizens on FMD through keyword network. As a case study, we performed the emotional analysis experiment of regular citizens about FMD from July 2010 to December 2011 in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3761-3771
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• 2010

This study, based on social capital theory, aims to explore how social network characteristics among organization members affect the absorptive capacity which is the ability to recognize the value of new information, assimilate it, and apply it to commercial ends. This paper also empirically investigates how the absorptive capacity will have an effect on organizational innovation performances toward achieving competitive advantages in the knowledge society. According to the degree of relationship intensity, social network shows two different characteristics: strong tied network and weak tied network. As strong tied network and weak tied network have relatively different network characteristics, this study assumes that each network affects the absorptive capacity with different aspects. Furthermore, we consider the moderation effect of a social network manager's ability in the relationship between social network and absorptive capacity. We surveyed innovative project performers who are engaged in the knowledge based industries. The empirical analysis results show that both strong tied and weak tied network positively affect the absorptive capacity. Successively, the absorptive capacity also has a positive impact on innovation performances.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.466-475
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• 2020

Current performance evaluation of call center employees is dependent on the number of calls they have resolved, regardless of the individual and social characteristics of employees. However, since call center tasks are highly customer-oriented and emotional laborious, individual capability as well as social characteristics of employees is critical to performance. Therefore, this study analyzed the relationship between employees' individual/social characteristics and their performance. To extract individual characteristics, a repertory grid technique was employed, whereas social network analysis was conducted to extract the social characteristics of employees. Using individual and social characteristics as input variables, multiple regression was conducted to analyze the effect of each variable on performance. As a result, in-degree centrality of dining network, initiative characteristics, open characteristics, and enjoyment of studying were determined to be important variables for performance. This study is expected to be used in both performance management and human resource management of call center practices.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.53-69
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• 2021

This study aims to understand the research landscape of South Korea using the data of 2020 Google Scholar Metrics. To achieve the goal, we constructed and analyzed four types of networks including the university collaboration network, the keyword co-occurrence network, the journal citation network, and the discipline citation network. Through the analysis of the university collaboration network, we found major universities such as Seoul National University, Keimyung University, and Sungkyunkwan University that have led collaborative research. Job related keywords such as job change intention and job satisfaction have been frequently studied with other keywords. Through the analysis of the journal citation network, we found multiple journals such as The Journal of the Korea Contents Association, Korean Journal of Sociology, and Korean Journal of Culture and Social Issues that have been widely cited by the other journals and influenced them. Finally, Education, Business administration, and Social welfare were identified as the top influential disciplines that have influenced other disciplines through the knowledge diffusion. The study is the first of its kind to use the data of Google Scholar Metrics and conduct a stepwise network analysis (e.g., keyword, journal, and discipline) to broadly understand the research landscape of South Korea. Our results can be used by government agencies and universities to develop effective strategies of promoting university collaboration and interdisciplinary research.

• Korea and Global Affairs
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• v.1 no.1
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• pp.153-176
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• 2017

중국 경제성장에 핵심적 역할을 해왔던 광동성(廣東省) 동관시(東?市)는 지리적으로 근접해 있는 홍콩을 이용하여 줄곧 경제발전을 추구해 왔다. 1980년대 초반은 홍콩으로부터 가전산업 관련 중소 다국적 기업이 동관지역에 진출하여 생산 공장을 세우고, 그 후 1990년 중반에는 대만의 PC제조업체의 진출이 잇따르면서 현재 동관에는 정보통신산업과 PC부품 및 전자산업 중심으로 지역 산업클러스터가 발전해 왔다. 동관시 산업클러스터 사례는 개혁개방이후 중국 제조업 산업의 발전뿐만 아니라, 글로벌 시대에 해외직접투자와 아시아지역 후-후발산업국가에서의 지역경제의 성장 및 산업발전과정의 연구에 대한 이론적 시사점을 줄 수 있는 지역적 사례 중의 하나다. 본 연구는 광동성 동관시 지역산업클러스터의 사례를 중심으로 이론적으로는 지역산업발전의 내생적 성장요인 분석(NMID) 혹은 글로벌 생산네트워크와의 외부적 연계성을 기초로 하는 산업의 지역적 분화(GPN)에 대한 이 두 관점을 상호 비교하고, 글로벌 생산체계에서 공간적으로 현재 동관시 지역이 가지고 있는 산업클러스터의 위치와 역할을 설명하였다. 또한 산업적인 측면에서 생산네트워크 접근틀과 제도적 역량이라는 이론적 관점을 활용하여 중국 동관시 지역산업과 기업들이 보유하고 있는 상대적 경쟁력을 분석하였다.