Earticle

본 연구는 중국 에너지 연구 동향을 분석하기 위하여 중국에서 가장 큰 학술논문 플래폼인 CNKI에 게재된 논문 중 주제어에 에너지를 포함하는 논문을 추출하여 검토 하였다. 이렇게 수집된 자료를 토대로 네트워크 그래프를 도출함과 동시에 연결중심성 이 높은 주제어 사이의 관계를 분석하여 에너지에 대한 중국 학계의 관심 변화를 추적 하였다. 본 논문은 에너지 논문 주제어 네트워크 그래프를 통해 주제어 네트워크의 구 조적 특성을 밝혀내고 네트워크 내의 핵심 주제어의 역할을 분석하였다. 이러한 연구 접근은 권위주의적 국가인 중국에서 에너지 시스템 전환이 실제적으로 이루어지고 있 는지를 분석하기 위해 언어적 수사가 제거된 의미구조의 골격을 재현하기 위한 시도였 으며 본 연구결과를 토대로 심화된 가설과 분석이 가능할 것이라 기대된다.

In order to analyze China’s energy research trend, this study examines the keyword Network of papers which has been published on CNKI.NET, the largest online publishing platform in China. The simultaneous appearance of the keyword was regarded as a connection, and centrality of a network structure based on degree(of connections) was measured by the portion of nodes that are adjacent to each node. In addition, to analyze China's energy research trends over the past decade, this study reviews the network structure and identifies the role of keyword’s role in the network. Based on this analysis, the network graph implemented. This study is expected to expanded the possibility of establishing advanced hypotheses and follow-up research that can specifically reveal the trend of energy research in China.

A cross-cultural comparison of social networking structure on McDonald's Facebook fan sites between Taiwan and the USA was conducted utilizing the individualism/collectivism dimension proposed by Hofstede. Four network indicators are used to describe the network structure of McDonald's Facebook fan sites: size, density, clique and centralization. Individuals who post on both Facebook sites for the year of 2012 were considered as network participants for the purpose of the study. Due to the huge amount of data, only one thread of postings was sampled from each month of the year of 2012. The final data consists of 1002 postings written by 896 individuals and 5962 postings written by 5532 individuals from Taiwan and the USA respectively. The results indicated that the USA McDonald's Facebook fan network has more fans, while Taiwan's McDonald's Facebook fan network is more densely connected. Cliques did form among the overall multiplex and within the individual uniplex networks in two countries, yet no significant differences were found between them. All the fan networks in both countries are relatively centralized, mostly on the site operators.

This study attempted to investigate changes in collaboration structure for each stage of national Research and Development (R&D) in the artificial intelligence (AI) field through analysis of a co-author network for papers written under national R&D projects. For this, author information was extracted from national R&D outcomes in AI from 2014 to 2019. For such R&D outcomes, NTIS (National Science & Technology Information Service) information from the KISTI (Korea Institute of Science and Technology Information) was utilized. In research collaboration in AI, power function structure, in which research efforts are led by some influential researchers, is found. In other words, less than 30 percent is linked to the largest cluster, and a segmented network pattern in which small groups are primarily developed is observed. This means a large research group with high connectivity and a small group are connected with each other, and a sporadic link is found. However, the largest cluster grew larger and denser over time, which means that as research became more intensified, new researchers joined a mainstream network, expanding a scope of collaboration. Such research intensification has expanded the scale of a collaborative researcher group and increased the number of large studies. Instead of maintaining conventional collaborative relationships, in addition, the number of new researchers has risen, forming new relationships over time.

지식관리 프로세스에서 지식공유는 지식의 생성 및 분배에 많은 영향을 주고 있다. 특히, 지식기반 정보기술 환경이 트위터와 같은 소셜미디어 정보서비스 등의 라이브러리 2.0 서비스를 중심으로 지식유통이 활성화되고 있다. 지식공유의 영향 요소에 사회연결망 구조 및 특징에 대한 네트워크의 관계 요소가 조직의 지식공유 활성화를 위한 중요한 요인으로 인식되고 있다. 본 연구는 자기조직화를 통해 유기체와 같이 성장하고 있는 조직 내부의 사회연결망의 구조 및 특성을 사회연결망 분석도구와 다중회귀분석을 통해 1) 사회연결망의 연결구조와 지식공유와의 관계, 2) 구조적 공백과 중심성의 지식공유 영향도, 3) 개인적인 능력, 정보기술 및 업무 인식과 지식공유 관계를 분석하였다.

The knowledge sharing in a knowledge management process is much affecting generation and distribution of knowledge. Especially, the knowledge distribution is being revitalized with the center of social media service like twitter and library service 2.0 in the knowledge-based IT (Information Technology) environment. The present research analyzed the structure and characteristics of a social network inside an organization that is growing like an organism through self-organization through tools for SNA (Social Network Analysis) and multiple regression analysis of independent variables such as 1) a relationship between social network's structure and knowledge sharing, 2) a relationship between structural holes and knowledge sharing influence of centrality, 3) a relationship between individual ability and knowledge sharing of information technology and work recognition.

Recently, there has been a growing interest in intolerance of uncertainty (IU) as a transdiagnostic risk factor for various men tal disorders. However, no consensus has been reached on the components that comprise IU. Considering that while the rela tionship between IU and internalizing symptoms such as anxiety and depression has been well-established, a dearth of stud ies elucidates how each IU component is specifically related to anxiety and depression. Given its close relationship to internal izing symptoms, understanding the distinct correlations between each IU facet and internalizing symptoms becomes pivotal for effective interventions. Therefore, this study conducted a network analysis to delineate IU structure and how each compo nent is related to state/trait anxiety and depression. Using the Intolerance of Uncertainty Scale (IUS), the most central item, structure, and relationship within the scale were identified. The relationship between IU and internalizing symptoms was also examined and the clinical implications of each result are discussed.

This study applied network agenda-setting theory to analyze the impact of the agenda-setting function of the media on certain issues by focusing on the agenda at the center of controversy, 'Creative Economy'. To this end, the study extracted the data referred to creative economy in the media and SNS from 1 January 2008 to 31 December 2014, and analyzed the data using the network analysis program UCINET and the Korean language analysis program Textom. The results of the present study show that, during the period under former President Lee (2008-2011), the media's creative economy agenda-setting function did not exert a significant impact on the agenda-setting within SNS. However, from 2012 when the government of former President Park Geun-hye had started, the agenda-setting function of the media starts to show increasingly strong influence on the agenda cognition in SNS. The central words and sub-words configuration forming the center of the semantic network moved in the direction of a high correlation, in addition to the gradually increasing correlation based on QAP correlation analysis. In 2014, the semantic networks of the media and SNS bore a close resemblance to each other, while the shape of networks and sub-words structure also had a high level of similarity.

Purpose: The purpose of this study is to identify the knowledge structure of the concept of resilience of dementia caregivers and to understand core topics and the trends in dementia caregiver resilience research over time. Methods: This study is a quantitative content analysis using text network analysis on the studies on resilience of caregivers of people with dementia. We searched the available literature in two scientific databases, PubMed and the Web of Science. Term frequency, the number of co-occurrence, and centrality were analyzed, and Latent Dirichlet Allocation (LDA) analysis was conducted with Net Miner program. Results: A total 187 articles were identified. The core keywords found were "care", "family", "support", "burden", "intervention", "health", "stress", "relationship", "symptom", "depression", "partner", and "quality of life". Four main topics were identified through the LDA analysis, such as "support from family and social resources", "hardships to overcome", "building strength to overcome adversity", and "coping with negative emotions". There was only one study before 2000, but the number of studies steadily increased to 50 for the years 2011-2015, and 111 for the years 2016-2020. Conclusion: This is the first study to analyze the knowledge structure and research trend of resilience research of caregivers of people with dementia through social network analysis and topic modeling. This study provides a scientific basis of the future studies in Korea. Moreover, it is meaningful in that it brought a comprehensive understanding of the studies by comprehensively analyzing the studies of the resilience of caregivers of people with dementia.

본 연구는 약 40년 동안의 국내 사회복지 정책 분야 연구의 흐름을 실증적인 차원에서 개괄적으로 살펴보는 데 그 목적이 있다. 이를 위해서 본 연구는 사회복지 정책 분야와 관련하여 가장인지도가 높은 다섯 개의 학술지를 선정하여 게재된 모든 논문의 정보를 수집하였다. 본 연구에서 연구 전반을 개괄하는 주요 관측 지점은 연구의 내용적 측면과 더불어 연구 협업 구조이다. 이를 위해서 논문 정보와 저자 정보를 활용하여, 전자를 통해 논문의 주요 내용을 포착하고 후자를 통해 공저자 네트워크를 추출했다. 논문 내용을 포착하기 위해서 빈출어와 핵심어(key words) 를 활용하여 공존 구조에 기반한 의미 네트워크 분석(semantic network analysis)을 활용하고, 공저자 네트워크를 통해 하위 그룹(sub-community)의 존재와 중심성(centrality)이 높은 연구자의분포를 확인하였다. 장기간에 걸친 변화를 포착하기 위해서 각 분석은 시기 구분을 통해 비교 과정을 거쳤으며, 시기 구분을 위해 논문 생산 트렌드를 기초로 절단점 분석(break point analysis) 을 수행했다. 분석 결과를 통해 논문 생산의 시기별 뚜렷한 변화와 내용적 변화, 그리고 공저자구조에서의 역동성을 발견할 수 있었다. 연구의 양적 팽창과 거대 공저자 네트워크의 형성과 주요 연구자의 연구 주제에 대한 검토를 통해 한국 사회복지정책 연구 흐름의 역사적 의의와 제약점을 통한 추후 발전을 위한 제언을 연구 말미에서 다루었다.

This study aims to provide an empirical overview of the trends in domestic research in the field of social welfare policy over approximately 40 years. The study selected the five most recognized academic journals on social welfare policy and collected information on all published papers. The main observational points for summarizing the overall research include the substantive content of the studies and the collaborative structures. This study captured the main contents of the papers and extracted co-authorship networks with the abstract and citation information of articles. This study uses frequent words and keywords to conduct semantic network analysis based on co-occurrence structures. At the same time, the presence of sub-communities and the distribution of researchers with high centrality were determined through co-authorship networks. The analysis underwent a comparative process through period differentiation, and breakpoint analysis was performed based on the trend of paper production for period segmentation. The analysis revealed apparent period-specific changes in paper production, content changes, and the dynamism within the co-authorship structure. The study concludes with suggestions for the historical significance of the Korean social welfare policy research trajectory and future developments, addressing the constraints identified through the review of the research themes of key researchers amidst the quantitative expansion of research and the formation of large co-authorship networks

본 연구에서는 협력 네트워크 차원에서의 북한이탈주민의 정착 지원 프로그램 구조를 살펴보기 위한 연구이다. 북한이탈주민의 누적 인구분포가 지속적으로 증가함에 따라 이를 수용할 수 있는 시설과 프로그램의 필요성이 제기되고 있다. 각 지방정부들은 지역 설정에 맞는 서비스를 제공하기 위해 지역별 사회복지단체와 연대하여 북한이탈주민들의 서비스를 제공하고자 노력하고 있다. 따라서 본 연구에서는 각 협력기관들간의 북한이탈주민들의 정착지원과 관련된 정보교환망의 협력 네트워크 구조를 살펴봄과 동시에 이들의 연계패턴을 분석하고자 한다. 이를 측정하기 위해 네트워크 속성, 네트워크 결속, 중앙성(centrality), 결집집단(cohesion), 구조적 등위성(CONCOR) 등을 살펴보았다. 연구 결과 향후 정보교류 및 제공의 차원에서 보다 낳은 서비스 제공을 위해서는 이들의 관계를 재조정할 필요가 있고, 이에 이를 조정할 수 있는 책임있는 기관 및 중재자가 요청됨을 발견하였다. 따라서, 중앙정부, 지방정부, 민간단체, 지역기업 및 사회적 기업 간의 협력 네트워크에 있어 사회통합 모니터링 센터를 중심으로 소통영역, 신뢰영역, 협력영역, 기회 영역별로 정보교환을 원활하게 할 수 있게 구축되어야 한다. 향후에는 정부주도 민간 보조형으로 사회 정착 지원에 상당한 역할을 보완할 필요가 있음을 확인하였다. 따라서 이러한 밀도, 중앙성, 응집성, 구조적 등위성 등을 분석함으로써 북한이탈주민의 정착지원의 네트워크의 중심과 협력성에 대한 정책적 시사점을 도출 및 제안하였다.

This study seeks to illustrate the structure of settlement support program for North Korean defectors applying the concept of collaborative network. Network features, unity, centrality, cohesion and structural equivalence are measured which would explain collaboration network structure on information exchange among settlement support programs for North Korean defectors and collaborating organizations as to identify the structural characteristics. It is found that reliable organization or mediator is in need for coordination among themselves. Therefore, collaborative network among central government, local government and social corporation should be established around social cohesion monitoring center with an emphasis on information exchange through communication, trust, collaboration and opportunity. Also, it turns out that settlement support system should be improved in order to seek for government taking the initiative and private sector providing assistance. By analyzing density, centrality, cohesion and structural equivalence, policy implications are drawn for the core and collaboration of settlement support network.

Manufacturer in uncertain environments (e.g., a volatile supply of parts, the shortage of product supplied or fluctuations in the price of raw materials) experiences the difficulty of making accurate predictions about the state of an environment (Achrol and Stern, 1988) and achieving objectives. This difficulty induces the manufacturer to develop governance mechanisms to reduce the risks inherent in those environments (Heide, 1994). Governance mechanisms will develop in uncertain environments in order to manage the relationship with its partners (Pavlou, Liang, and Xue, 2007). However, the manufacturer is confronted with the question: what kind of governance mechanism is suitable for dealing with the environmental uncertainty. The objective of this research is to enhance the understanding of the effects of environmental uncertainty on interfirm governance mechanisms under conditions reflecting varying levels of structural holes. No empirical study has examined the way in which uncertain environment influences exchange parties’ governance mechanisms in the face of structural holes. Specifically, this research explores the moderating effect of structural holes on the relationship between environmental uncertainty and interfirm governance mechanisms. This research contributes to the literature of networks in two ways. First, this research iron out the conflicting contentions between TCA (unilateral governance mechanism) and relational contract theory (bilateral governance mechanism) under conditions reflecting structural holes. The research explains that exchange partners are likely to choose a different kind of governance mechanisms (unilateral or bilateral) in uncertain environment depending on the level of structural holes. Secondly, the study introduces structural holes, a network structure, to explain governance mechanisms under environmental uncertainty situation. Structural holes enhance information flows among exchange partners and affect the information asymmetry arising from environmental uncertainty. Thus, it becomes evidence that structural holes could be a critical variable having a significant impact on the choice of mechanisms in an uncertain environment. Current research proposes that one party with structural holes in their exchange partners is incline to resort to bilateral governance mechanism, whereas those without structural holes are likely to rely on unilateral governance mechanism. The conceptual framework is provided Figure 1.

Founded on social network theory, this study will recruit 168 patients in an online health community as the research subject, and uses Poisson regression model to investigate the impact of network structure characteristics on user participation behavior. This study contributes to the body of knowledge in the online medical field and provides practical implications to the managers of online health platforms.

This paper examines the evolution of regional tourism resources in a complicated and networked industry. Regional tourism structure has been changing increasingly faster due to various internal and external environments; natural resources, facilities, festivals and events, drama and movies, public resources, etc. This paper employs Olikowski’s dualism perspective as a theoretical view on the alliance network between region’s attractions and tourism industry in Korea. Exploratory analysis was performed to explain the dualism between resource characteristics and alliance complexity in regional tourism industry. This paper explains four types of tourism alliance network: functional, organizational, resourced, and artificial alliance network.

We propose using the U-statistic as a new measure of market integration and construct the null hypothesis to test herding. We derive asymptotic distribution of the U-statistics under four different market conditions and examine herding in NYSE and NASDAQ. Not based on a specific theoretical asset pricing model, we define the herding as a severe dynamic comovement of stocks which is a function of mean market return. Our empirical results show that there exists more frequent herding in NYSE than in NASDAQ while NASDAQ is more integrated than NYSE during tranquil period, whereas different results are observed during crisis periods.

The purpose of this study is to investigate the evolution of regional tourism resources from the perspective of business ecosystem network. A regional tourism structure changes due to various factors such as natural resources, facilities, festivals and events, public resources, and etc. An exploratory analysis was conducted to examine the interaction between resource characteristics and alliance complexity in the regional tourism industry. In the process, the duality of technology provides an insight into the interaction among several players within an alliance network which include regional attractions and tourism industry. As a result, we identified four types of tourism alliance network：functional, organizational, resource-oriented, and artificially-allied. The managerial implications are also discussed.

본 연구는 특허와 제휴 데이터를 바탕으로 세계 주요 기업들의 자율주행차 개발 관련 활동들의 특성을 살펴보았다. 무자율주행차에 관련된 440개의 특허와 120개의 제휴관계를 분석하여 현재 무인차의 개발활동의 중심에 있는 기업들은 구글, 포드, GM등임을 알 수 있었으며, 이들 중 구글은 인식, 정보, 센서, 데이터 등의 방면에 집중하고 있는 것으로 나타났고, 포드는 컨트롤과 판단에 GM은 주행에 관련된 기술에 집중하고 있음을 알 수 있었다. 또한 120개의 협력관계에 대한 네트워크 분석을 구글이 가장 높은 중심성을 보유하고 있고, GM, 포드, 닛산, 현대, 도요타 역시 상대적으로 높은 중심성을 가지고 있다는 것을 알 수 있었다. 마지막으로 클러스터 분석을 통해 중국의 무인차 개발은 2개의 진영(SAIC-GM, DFG-Ford)로 나누어져 한 진영은 서비스에 한 진영은 기술 생산 등에 집중한다는 것을 밝혀낼 수 있었고, 한국과 일본은 구조가 유사하나 일본이 오히려 더 광범위하고 넓은 관계를 구축하고 있다는 것을 알 수 있었다. 구글과 독일3사의 협력관계에서는 서로 크라이슬러와 Here같은 대안을 구축함으로써 의존도를 낮추려고 하는 점을 알 수 있었다.

Worldwide digitalization and convergence has led incremental and rapid change in landscape of automobile industry. Consequently, increasing numbers of ICT and auto companies are actively constructing alliances with various companies from different industry. For investigating the characteristics of firms’ strategic behaviors in autonomous car industry, we conducted data mining analysis and 2 social network analysis (degree centrality analysis, community analysis) by using 440 US patents data and 120 alliance data. Firstly, we found that Google is mostly focused on the information area, while Ford and GM are mostly on control and detection technology. Hyundai and Nissan are focused on most of the technologies. Secondly, with a frist network analysis (degree centrality) on alliance data, we found that Google has the highest degree centrality with other firms. GM, Ford, Nissan, Hyundai, Toyota also have the relatively high degrees of centrality. Finally, from the 2nd network analysis (community analysis) on alliance data, we found five significant alliance groups. Group 1 so called Google-German alliance, group 2 so called GM-China alliance, group 3 so called GM-Ford alliance, group 4 Korean alliance and group 5 Japanese alliance. Among those groups, Chinese-related alliances can be categorized into two competitive groups: GM-SOEs (State-Owned Enterprises) which focus on business model and Ford-private enterprises which focus on technology and manufacturing. In case of Korean and Japanese alliance, although their structure is similar, Japanese alliance is more active and international. Lastly, inside Google -German alliance, mutual competitive behavior was detected.

The analytics lens of big data is very popular in both industry press and academic literature where big data is often discussed in the contexts of volume, velocity, and variety. This study offered an innovation lens of big data as digital service innovation. An evolutionary, ecosystem-based framework is adopted for digital service innovation. Digital trace data from Twitter provides the opportunity to see glimpses of big data ecosystems and the elements of big data services at two stages in the evolutionary process. Also, co-hashtag network analysis and community structure detection are used to understand the structure and dynamics of the big data ecosystem and its elements, over time. Finally, discussions and implications are presented.

본 연구는 사회 연결망 분석 기법(SNA)을 통하여 최근 10년간 중국대학의 과학연구 및 개발의 효율성 평가 현황과 연구동향을 파악하는데 목적이 있다. 분석에 사용된 자료는 중국의 CNKI 학술 자료집에서 589개의 논문을 추출하여 과학 연구 개발 효율성 평가와 직접적으로 관련된 190개의 논문을 선택하여 분석하였다. 분석 결과 중국 대학의 과학기술 연구 효율성 평가 현황, 연구 트렌드 파악, 과학 연구개발에 미치는 주요 요인 및 과학연구의 교류를 촉진하는 주요 요인을 확인할 수 있었다. 본 연구는 대학의 과학 연구 개발을 촉진하고, 과학 연구 관리를 강화하며 지식 교류를 촉진하는 긍정적인 의미를 제공할 수 있다. 이 연구는 실제 중국 연구 환경의 과학 연구 동향을 종합적으 로 분석하는 데 한계가 있다. 후속 연구는 중국과 다른 나라의 동향을 비교할 필요가 있다.

The purpose of this study is to identify the current status and research trends of the efficiency assessment of scientific research and development in Chinese universities over the last 10 years through social network analysis(SNA). The data used in the analysis were extracted from 589 papers from CNKI academic archives in China and analyzed among them 190 papers directly related to the evaluation of scientific research and development efficiency. The analysis showed that the present state of science and technology research efficiency assessment in Chinese universities, identifying research trends, major factors on scientific research and development and major factors promoting exchanges of scientific research. This study can provide positive meaning to facilitate the development of scientific research and development in universities, enhance scientific research management and promote knowledge exchange. This study has limitations in comprehensively analyzing scientific research trends in the actual Chinese research environment. Subsequent studies need to compare trends in China and other countries.