Earticle

본 연구는 ARCO 국제협업·국제예술교류 지원사업(2019–2025)과 예술경영지원센터(센터스테이지코리아) 해외진출 지원사업(2017–2024)의 결과자료를 분석하여, 한국 현대무용 해외유통의 구조적 유형과 국제예술교류 네트워크의 특성을 규명하는 데 목적이 있다. 연도별·유형별 사례 빈도 분석과 네트워크 구조 분석을 통해 해외유통 방식과 참여 주체의 분포양상을 검토하였다. 연구 결과, 한국 현대무용 해외유통은 공연·투어 중심 유통에서 협업·창제작 및 기획·네트워크 중심 유통으로 단계적으로 전환되고 있었다. 해외유통은 유럽을 중심으로 집중되는 경향을 보였으며, 해외 파트너 기관을 중심으로 한 허브–노드 구조의 네트워크가 형성되어 있었다. 개인 예술가는 단기적·단발적 참여가 많았던 반면, 단체는 반복적 해외유통을 통해 상대적으로 안정적인 네트워크 위치를 점유하였다. 본 연구는 해외유통을 공공 정책과 국제 네트워크가 결합된 구조적 과정으로 분석함으로써, 공연예술 국제교류 연구와 향후 해외유통 정책 설계에 시사점을 제공한다.

This study aims to identify the structural types of overseas distribution and the characteristics of international arts exchange networks in Korean contemporary dance by analyzing the outcomes of the ARKO International Collaboration and International Arts Exchange Support Programs (2019–2025) and the overseas distribution support programs of the Arts Management Support Center, including Center Stage Korea (2017–2024). Using year- and type-based frequency analysis and network structure analysis, the study examines patterns of overseas distribution and the distribution of participating agents. The results indicate that the overseas distribution of Korean contemporary dance has gradually shifted from performance- and tour-oriented models to collaboration-, creation-, and planning- or network-oriented models. Overseas activities were concentrated primarily in Europe, and international exchange networks exhibited hub–node structures centered on overseas partner institutions. While individual artists tended to engage in short-term and one-off participation, dance companies demonstrated more stable positions within the network through repeated overseas distribution activities. By conceptualizing overseas distribution as a structural process shaped by public policy and international networks, this study offers implications for performance arts exchange research and the future design of overseas distribution policies.

This study conducted a centrality analysis by taking a close look at the current status of the “relational population” and networks in the non-metropolitan area of Korea for the period from 2016 to 2019. The main results are summarized as follows: First, in the non-metropolitan area, the relational population between each industrial complex area and the nearby metropolitan city was found to be predominant. Second, in each centrality analysis, Daejeon, Daegu, Gwangju, Suncheon, and Cheonan were found to have high degrees of centrality. Third, among the areas experiencing population decline, Namwon, Andong, and Nonsan were found to have high degrees of centrality. In particular, Namwon showed a stable centrality value without significant change in ranking. A region having a high centrality value means that the connectivity of the relational population is high on the network, and that there is a wide distribution of people in the population who have various relationships with the region. The relational population of a region can be used in regional policies to help overcome shortages of local talent. Through the relational population, the spatial extent of the static local population can be expanded. This study concluded with the policy suggestion that, before using the relational population in carrying out regional policies, the network structure between regions should be understood by analyzing the current status and centrality of the relational population and that an evaluation of the current regional situation should also be conducted.

장애인.노약자들은 일반인에 비해 이동에 대한 제약조건이 많으며 이동시 일반인들이 생각하는 것보다 많은 어려움이 있다. 장애인.노약자뿐만 아니라 일반인들의 보행환경을 개선하기 위해 장애인.노약자를 위한 보행 지원시스템을 구성하여 장애인.노약자들의 사회활동을 장려하고 사회 구성원으로서의 역할을 할 수 있도록 도움을 줌으로서 장애인.노약자에 대한 사회문제를 해결하는 데 큰 역할을 하게 된다. 보행용 네트워크를 구성하기 위해 건설교통부에서 2005년 7월에 발간한 "지능형교통체계 표준 노드/링크 구축.운영지침 해설서"의 내용을 분석하였으며 이를 바탕으로 장애인.노약자들에게 적합한 네트워크체계를 구성하였다. 이동제약이 가장 큰 장애인.노약자를 대상으로 한 보행 네트워크이기 때문에 일반 사람들에게 적용될 수 있다. 이렇게 보행 네트워크를 구성함으로서 사회적 약자에 속하는 장애인.노약자들의 보행에 많은 도움을 줄 수 있을 뿐만 아니라 일반인들의 보행 편의성을 높이는 효과를 가져 올 수 있다. 장애인.노약자를 비롯한 사람들의 보행률을 높임으로서 에너지 절약, 교통사고율 감소 등 사회 전반적으로 긍정적인 효과를 가져 올 것으로 기대된다.

A pedestrian navigation system, an information delivery server, and a program for naturally guiding (such as speech-guiding) the user of a portable terminal at an intersection. An information delivery server comprises a map database containing data such as nodes including paths constituting intersections, links, and costs of the links. The node-link structure is the most important part in pedestrian navigation system. Functional requirements for the road map database vary in different navigation phases. though there are various road network models, their traditional node-link structures, unfortunately, do not solve the problem well. This paper proposes a node-link structure for pedestrian navigation system. The network topological structure in pedestrianl network is presented, which accords with the practical walking habit better than traditional way treating the entire road network.

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.

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.

외상 후 성장 개념은 다양한 분야에서 사용되고 있다. 연구의 목적은 네트워크 분석을 활용하여 외상 후 성장의 지식 구조를 확인하기 위함이다. 1996년에서 2018년 사이에 출판된 국외논문 중 외상 후 성장 키워드를 사용한 논문을 Web of Science에서 검색하여 1,780편의 논문에 1,659개의 키워드가 6,343회 등장하는 것을 확인할 수 있었으며, 최종 분석을 위 한 총 322개의 키워드를 선택하였다. 가장 많이 등장한 키워드는 ‘외상 후 성장’, ‘외상 후 스트레스 장애’, ‘암’, ‘트라우마’ 순이었다. 총 322개의 노드 중 175개의 노드로 정리하여 ‘암, 만성/중증 질환 및 장애에서 외상 후 성장’, ‘외상 후 성장 관련 심리적 변수 및 심리 치료’, ‘죽음의 맥락에서 외상 후 성장’, ‘외상 후 성장의 인지 메커니즘’ 및 ‘대리 외상 후 성장’의 5개 그 룹으로 나눌 수 있었다. 본 연구는 정량적 네트워크 분석을 통해 외상 후 성장의 지식 구조에 대한 체계적인 개요를 제공 하였 다는데 의의가 있다.

Posttraumatic growth literature has been rapidly expanding in multiple academic disciplines. Purpose of this study is to examine the knowledge structure of posttraumatic growth utilizing a network analysis. Papers published between 1996 and 2018 were searched on the Web of Science, focusing on terms related to posttraumatic growth. One thousand six-hundred and fifty-nine keywords were published 6,343 times in 1,780 papers; thus, a total of 322 keywords (5,195 appearances) were selected for the final analysis. The network analysis and network visualization tool used were NodeXL and PFnet, respectively. The keywords which appeared the most frequently were “Posttraumatic growth,” followed by “Posttraumatic Stress Disease,” “Cancer,” and “Trauma.” A total of 322 nodes have been reduced to 175 nodes and divided into a total of five groups. The five groups were “Posttraumatic Growth in Cancer, Chronic/Serious Illness, and Disability,” “Posttraumatic Growth-related Psychological Variables and Psychotherapy,” “Posttraumatic Growth in the Context of Death,” “Cognitive Mechanisms of Posttraumatic Growth,” and “Vicarious Posttraumatic Growth.” This study provides a systematic overview on the knowledge structure of posttraumatic growth by quantitatively network analysis.

해외송금은 세계적인 유출입 네트워크에서 이뤄지는 결과물이라는 측면이 중요하지만 많은 연구가 수행되고 있지 않다. 본 논문은 세계은행에서 제공하는 2013년, 2015년, 2017년에 대한 세계 144개 국가들 간 해외송금 유출입 매트릭스(Bilateral Remittances Matrices: BRM)를 이용 하고 소셜네트워크분석 기법을 적용하여 해외송금 유출입 네트워크 구조의 동태적 변화와 결 정요인을 분석하였다. 핵심적인 연구결과는 다음과 같다. 첫째, 분석 국가들 간 해외송금 네트 워크가 확대되어가고 있으며 고소득 국가 그룹과 북미지역이 높은 영향력을 보여주었다. 둘째, 중개자 역할분석 결과 소득 그룹별로는 고소득 국가 그룹이 저소득 국가 그룹에 비해 그룹내 와 그룹간 중개역할 횟수가 압도적으로 많았으며 지역 그룹별로는 유럽·중앙아시아가 가장 많 았다. 한편 그룹내 중개 역할 대비 그룹간 역할의 비율은 남아시아가 가장 많았으며, 라틴아메 리카·캐리비언지역이 가장 적은 것으로 분석되었다. 셋째, 해외송금 네트워크의 결정요인 분 석에 대한 결과는 환율제도, 지역, 정치적 효율성, 사회적 효율성이 동일할수록 해외송금 네트 워크가 확대될 가능성이 높아지며 경제규모가 유사할수록 네트워크가 위축된다는 것을 보여 주었다. 결론적으로, 본 논문은 해외송금 네트워크 확대를 위해서 선진국과 개발도상국 정책 입안자들이 경제적·제도적 협력 방안을 모색하는데 필요한 실증적 자료가 될 수 있을 것이다.

Purpose : Although it is important to note that remittance is the result of a global inflow and outflow network, many studies have not been conducted on the topic. This paper analyzed the dynamic changes and determinants of the network structure on remittance flow. Research design, data, methodology : This paper used the Bilateral Remittance Matrices (BRM) between 144 countries for each year of 2013, 2015, and 2017 provided by the World Bank and applied social network analysis techniques. Results : First, the remittance network among the analyzed countries was becoming more active and dispersed, and the high-income country group and North America showed high influence power. Second, analysis of the broker’s role showed that the high-income country group had an overwhelming number of intermediary roles within and between the groups compared to those in the low-income countries by income groups. Meanwhile, Europe and Central Asia had the largest number of intermediary roles based on regional groups. Additionally, South Asia had the highest ratio of inter-group roles to inner-group brokerage roles, whereas Latin America and the Caribbean had the lowest roles. Third, the empirical results of the determinants of the remittance network showed that the more identical the exchange rate system, regional, political efficiency, and social efficiency, the more likely the remittance network was to expand. Conversely, the more similar the size of the economy, the more the network shrank. Conclusions : This paper can serve as empirical data for policymakers in developed and developing countries to find ways for economic and systematic cooperation for expanding remittance networks.