• 한국컴퓨터정보학회논문지
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• 제24권6호
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• pp.125-133
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• 2019

This study aimed to investigate the political system related to the Electronic Government Law by analyzing the process of the common initiative of the law. To achieve the goal, this study applied the method of social analysis and sugessted the proper role of the assembly for realizing the electronic government and its control. The data were gathered from the bill information service of the national assembly. Netminer 4.0 was used for refining and analyzing data. The results are as follows. First, by analyzing three centrality(degree, betweenness, and eigenvector) of assembly member, the network effect of the powered party and reelected members were revealed as strong in the network. Second, through the component analysis, 5 sub-network has shown in total. The sub-networks showed two distinctive difference between two big parties. By the difference, members in two parties showed different characteristics in constituting communities and the effect of the powered party revealed as strong and clear. Based on the result, this study demonstrated the necessity of social solidarity rather than solipsism in committing common initiative. And a chronological research is need to anlayze $18^{th}$ and $19^{th}$ assembly to verify the effect of the powered party in prospect study.

• 한국컴퓨터정보학회논문지
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• 제24권1호
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• pp.151-158
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• 2019

This study aimed to analyze the research trend related on obesity in physical education in Korea through the keyword network analysis and to establish a basic database for effective design of prospective studies. To achieve it the study crawled co-occured keywords with 'obesity' and 'physical education' from RISS and analyzed the list from 1990 to 2018. They include 25 journal papers and 38 dissertations. The results are as follows. First, recent 30 years 63 papers published in Korea with 'Obesity' and 'Physical Education', and there were 144 related keywords. Second, analyzing journals which have 'Obesity' and 'Physical Education', co-occured keywords in 4 centrality were 24 keywords(student, Korea, prevention, effect, level, body, activation, actual condition, lesson, child, investigation, participation, book, cause, activity, normal, degree, nutrition, physical strength, weight, elementary, light, inquiry, health), and 37 keyword occurred in top 30. Lastly, by CONCOR analysis the result could be divided into 2 clusters. One consists of the object of obesity and its invervention, and the other consists of negative keywords of obesity and its preliminery dimenstion. Through the result, this study showed the research trend which involves the concept of obesity in physical education in Korea. Through the result, prospective obesity research in physical education in Korea would be promoted.

• 디지털산업정보학회논문지
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• 제19권4호
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• pp.87-96
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• 2023

ChatGPT, a leader in generative AI, can use natural expressions like humans based on large-scale language models (LLM). The ability to grasp the context of the language and provide more specific answers by algorithms is excellent. It also has high-quality conversation capabilities that have significantly developed from past Chatbot services to the level of human conversation. In addition, it is expected to change the operation method of the tourism industry and improve the service by utilizing ChatGPT, a generative AI in the tourism sector. This study was conducted to explore ChatGPT trends and paradigms in tourism. The results of the study are as follows. First, keywords such as tourism, utilization, creation, technology, service, travel, holding, education, development, news, digital, future, and chatbot were widespread. Second, unlike other keywords, service, education, and Mokpo City data confirmed the results of a high degree of centrality. Third, due to CONCOR analysis, eight keyword clusters highly relevant to ChatGPT in the tourism sector emerged.

• 한국경제지리학회지
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• 제12권1호
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• pp.1-18
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• 2009

본 연구에서는 인구고령화에 따라 관심이 높아진 고령친화산업의 현황과 특성을 살펴보기 위해, 고령친화용품산업체를 대상으로 품목별 분류와 입지 특성, 기업 유형 등을 분석하였다. 특허수를 이용한 혁신수행력과 고령친화산업 관련 네트워크참여도를 기준으로 $3\times3$행렬의 9가지로 업체들을 분류하였고, 이에 덧붙어 다른 기관과의 협력, 제조 및 유통 여부 등에 따라 최종적으로 5가지 유형으로 정리하였다. 5가지 유형은 혁신수행력이 높고 네트워크참여도도 높은 유형(HPHC), 중 저기술 제조업체로 네트워크 리더의 역할을 하는 유형(NL-LTM), 유통업체로 네트워크 리더의 역할을 하는 유형(NL-D), 혁신수행력은 높지만 네트워크참여도가 낮은 유형(HP-NO), 혁신수행력이 낮고 네트워크참여도도 낮은 유형(LPI)이다. 이러한 분석결과를 바탕으로 고령친화산업을 발전시키기 위한 산업 및 공간 정책에의 시사점을 제시하였다.

• 정보관리학회지
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• 제27권1호
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• pp.25-40
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• 2010

본 연구는 사회 네트워크 분석 기법을 통하여 K대학도서관의 학술DB 이용현황을 분석하고 이용자의 요구에 적합한 서비스를 개발 및 제공하고자 하는데 그 목적을 두고 있다. 이를 위하여 K대학 도서관의 학술DB 로그 데이터를 이용하여 학문분야별, 신분별, 학문분야 및 신분별 학술DB 네트워크를 구성하고 실증 분석하였다. 본 연구의 결과, 전임교원의 학술DB 네트워크와 박사과정의 학술DB 네트워크는 특화된 학술DB를 중심으로 강한 결속력을 보이고 있으며 다른 신분의 학술DB 네트워크보다 밀도, 연결정도 집중도 및 연결정도 중심성이 높게 나타났다.

• 농촌계획
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• 제23권3호
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• pp.1-12
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• 2017

The purpose of this study is to reveal network potential among agricultural villages focused on landscape and amenity resources. For this study, we conducted Social Network Analysis (SNA) utilizing existing landscape resource database. As a result of the study, major landscape types shared among villages were found for each city. For example, agricultural and residential landscapes were identified as major types for Danjin city. Add to major landscape resources, in Dangjin city, Habduk village were recognized as a core. Seokmun, Daehoji, Woogang, and Sunseong villages were widely found as the sub core group. For Seosan city, Jigok, Palbong, and Kobuk villages were widely recognized as core group. Most of villages which indicated the highest degree centrality were superior in terms of the number of total landscape resources as well as landscape type diversity. These results can be useful for initial planning process when considering major theme for landscape-based network organization. Also, this information will be helpful for planning stage through the specification of the potential role of each village in overall network.

• 유통과학연구
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• 제17권3호
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• pp.85-95
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• 2019

Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.

• 한국정보전자통신기술학회논문지
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• 제15권5호
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• pp.308-314
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• 2022

본 연구는 국내에 출원된 헬스케어 특허의 기술 융복합 분석에 관한 것으로 사회 연결망 분석(Social Network Analysis)을 이용하여 핵심 기술간 관계를 시각화하였다. 헬스케어 특허의 서브클래스 수준에서 복합 IPC 코드를 가지는 특허는 1,155건(49.4%)으로 조사되었고, 이를 대상으로 사회 연결망 분석을 실시한 결과 연결 중심성이 가장 큰 IPC 코드는 A61B, G16H, G06Q 순이고, 매개 중심성이 가장 큰 IPC 코드는 A61B, G16H, G06Q 순이다. 또한 헬스케어 특허는 두 개의 큰 기술 집합(Cluster)으로 구성되어 있다는 것을 확인할 수 있었다. Cluster-1은 A61B와 G16H 및 G06Q를 중심으로 헬스케어 인포매틱스 관련 기술을 이용한 진단, 수술 등 관련 비즈니스 모델에 해당하고, Cluster-2는 H04L과 H04W 및 H04B로 구성된 디지털 통신 기반의 헬스케어 사물인터넷 기술이다. 헬스케어 특허의 기술 융복합 핵심 쌍은 Cluster-1에서 [G16H-A61B]와 [G16H-G06Q] 이고, Cluster-2에서는 [H04L-H04W] 이다. 본 연구는 헬스케어 특허의 기술 개발 동향과 앞으로의 특허 출원에 기여할 수 있다.

• 정보관리연구
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• 제19권1호
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• pp.73-94
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• 1988

국내(國內) 영양학문헌(營養學文獻)의 서지적(書誌的) 현상 속에 내포된 의미를 파악하기 위하여 20 명의 저자(著者)를 대상으로 저자동시인용분석(著者同時引用分析)을 시도하고 나아가서는 다차원공간(多次元空間)에서 지적구조(知的構造)를 규명하였다. 저자동시인용분석(著者同時引用分析)은 동시인용빈도(同時引用頻度)가 높은 저자(著者)들일수록 밀접한 관계를 형성한다는 가정을 가지고서, "한국영양학회지(韓國營養學會誌)" 1986년과 1987년도 발행분을 기초자료(基礎資料)로 하여 분석 처리하였다. 분석 결과는 (1) 영양학분야(營養學分野)의 저자(著者)그룹, (2) 저자(著者)그룹간(間)의 위치, (3) 그룹내(內)에서의 중심저자와 주변저자, (4) 국내저자(國內著者)와 해외저자(海外著者)들간의 관계를 파악하였다.

• 동굴
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• 제88호
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• pp.38-44
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• 2008

동굴의 관계적 입지를 파악하기 위하여, 네트워크분석 기법 중 네트워크의 점의 지위 분석을 중심으로 하는 각종 지수를 적용하여 그 효용성을 파악하는데 목적을 두었다. (1)동굴의 연결 강도 및 중앙성에 따른 관계적 입지특성에 관한 고찰, (2)동굴관광지와 주변관광지 또는 다른 동굴관광지 간의 구조적 등위성에 관한 고찰을 하였다. 본 연구에서 고찰한 각종 지수 들은 네트워크상의 동굴의 지위를 파악하는데 매우 유용하여, 주변 관광지와의 관계적 입지특성을 보다 객관적이며 수량적으로 표현가능 함을 밝혔다. 특히, 동굴주변에 다 동굴이 위치하는 경우에는 그들 동굴간의 상호 비교나 구조적 우위성을 파악하는데 매우 유용하다.