• Title/Summary/Keyword: 사회 연결망

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태평양 도서국 해상네트워크 분석을 통한 해상교통망 강화방안 연구

  • 박민정;김보경;김세원
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.329-330
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    • 2022
  • 태평양 도서국은 간선항로와 먼 거리, 적은 물동량, 수출입 불균형 등으로 해상운임이 높게 형성되어 있으며, 기후변화에 취약하여 항만운영에 제약이 많은 등 해상운송이 상당히 열악한 실정이다. 또한 해상운송 의존도가 상당히 높은 반면, 정기선 연계정도는 상당히 낮아 해운물류 경쟁력을 향상 필요성이 증대되고 있다. 따라서 본 연구에서는 사회연결망분석(SNA)를 통해 14개 태평양 도서국의 국가 간 해상교역 구조를 파악하고 이를 통해 해상운송망 강화를 위한 방안을 제시하였다. 분석 결과, 대상국가 간 교역구조는 점차 복잡해지고 있으며, 점차 피지, 사모아, 파푸아뉴기니 등을 중심으로 Hub-spoke 체제의 해상운송 네트워크가 형성되고 있다. 역내 해상운송망 강화를 위해서는 분석결과에서 도출된 역내 주요 항만을 환적항으로 개발하여 해상운송 연계성을 강화하고, 카보타지 허용을 통한 정기선 입항빈도 증대, 인프라 개선을 통한 항만 운영탄력성 강화 등이 필요하다.

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A study on relational analysis of purchasing items of on-line shopping mall based on social network analysis (사회연결망분석에 의한 온라인 쇼핑몰의 구매품목 관계 분석에 대한 연구)

  • Kim, Byoung-Kug;Jeong, Seok-Bong;Kwon, Ki-Seok
    • Journal of Digital Convergence
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    • v.11 no.11
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    • pp.209-217
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    • 2013
  • This study focuses on the analysis of purchased items' relationship occurred by consumers' purchasing behavior observed in on-line shopping mall based on social network analysis. In order to find relational characteristics of each item for establishing marketing strategy, we apply three definitions of centrality in network, which are degree centrality, betweenness centrality, and closeness centrality in the purchased items' network. Thus, the research results provide the criteria for selection of market segmentation variables. Furthermore, the details of case has been introduced to validate the analyzed results in terms of marketing strategy, and supporting evidences are provided accordingly.

Socialization of Prosocial Behavior in Early-Adolescence: The Moderating Effect of Social Relatedness (종단 사회연결망 분석을 활용한 친사회성의 사회화 과정 탐색: 사회적 관계성의 조절효과)

  • Kim, Jingu;Kang, Eunyoung
    • Korean Journal of School Psychology
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    • v.17 no.1
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    • pp.1-16
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    • 2020
  • This study aims to investigate peer socialization processes on early adolescents' prosocial behaviors in friendship networks. A longitudinal social network model (SIENA) was used to disentangle socialization process in prosocial behavior. Participants were fourth and fifth graders in South Korea from 39 elementary school classrooms (N=1,040, 48% girls). According to results, students select friends based on similarity in prosocial behavior (peer selection) was found in both prosocial behaviors. Peer influence effects were also observed in prosocial behaviors. Also, moderating effect of social relatedness was significant. In classes with high social relatedness, influence effect of prosocial behavior was significant. As a contrast, prosocial behavior was not socialized in classes with the low social relatedness. Results suggest that peernetwork play a critical role in the co-evolution of friendships, and prosocial behaviors. Findings yielded the importance of the socialization process and promoting healthy peer socialization environment.

COVID-19 Cascade Dataset for Fake News Detection (COVID-19 가짜뉴스 탐지를 위한 전파 데이터셋)

  • Han, So-Eun;Kang, Yoonsuk;Ko, Yunyong;Ahn, Jeewon;Kim, Yusim;Oh, Seong Soo;Park, Heejin;Kim, Sang-Wook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.312-313
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    • 2021
  • 가짜뉴스가 사회연결망 상에서 빠르게 전파되면서 사회적 혼란을 야기하고 있어 가짜뉴스를 탐지하는 것이 중요한 문제로 대두되고 있다. 최근 가짜뉴스 탐지 연구에서 사회연결망의 전파 정보를 활용한 방법이 기존 뉴스 컨텐츠 기반 가짜뉴스 탐지 방법보다 효과적임을 보였다. 따라서 본 논문에서는 기존 CoAID 데이터셋을 기반으로 사회연결망상의 전파 데이터를 포함하는 COVID-19 Cascade 데이터셋을 소개한다. COVID-19 Cascade 를 활용하면 전파 기반 가짜뉴스 탐지 방법에도 적용이 가능하다. 이후 간단한 분석을 통해 진짜뉴스와 가짜뉴스의 차이를 확인한다.

A Study on Containerports Clustering Using Artificial Neural Network(Multilayer Perceptron and Radial Basis Function), Social Network, and Tabu Search Models with Empirical Verification of Clustering Using the Second Stage(Type IV) Cross-Efficiency Matrix Clustering Model (인공신경망모형(다층퍼셉트론, 방사형기저함수), 사회연결망모형, 타부서치모형을 이용한 컨테이너항만의 클러스터링 측정 및 2단계(Type IV) 교차효율성 메트릭스 군집모형을 이용한 실증적 검증에 관한 연구)

  • Park, Ro-Kyung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.6
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    • pp.757-772
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    • 2019
  • The purpose of this paper is to measure the clustering change and analyze empirical results, and choose the clustering ports for Busan, Incheon, and Gwangyang ports by using Artificial Neural Network, Social Network, and Tabu Search models on 38 Asian container ports over the period 2007-2016. The models consider number of cranes, depth, birth length, and total area as inputs and container throughput as output. Followings are the main empirical results. First, the variables ranking order which affects the clustering according to artificial neural network are TEU, birth length, depth, total area, and number of cranes. Second, social network analysis shows the same clustering in the benevolent and aggressive models. Third, the efficiency of domestic ports are worsened after clustering using social network analysis and tabu search models. Forth, social network and tabu search models can increase the efficiency by 37% compared to that of the general CCR model. Fifth, according to the social network analysis and tabu search models, 3 Korean ports could be clustered with Asian ports like Busan Port(Kobe, Osaka, Port Klang, Tanjung Pelepas, and Manila), Incheon Port(Shahid Rajaee, and Gwangyang), and Gwangyang Port(Aqaba, Port Sulatan Qaboos, Dammam, Khor Fakkan, and Incheon). Korean seaport authority should introduce port improvement plans by using the methods used in this paper.

A Study of Visualizing Relational Information - In Mitologia Project - (관계형 정보의 시각화에 관한 연구 - 미톨로지아 프로젝트를 중심으로 -)

  • Jang, Seok-Hyun;Hwang, Hyo-Won;Lee, Kyung-Won
    • Journal of the HCI Society of Korea
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    • v.1 no.1
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    • pp.73-80
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    • 2006
  • Mitologia is about visualizing relations of information in user-oriented method. Most information given in life has invisible relations with each other. By analyzing the common characters and relations of information, we can not only measure the importance of the information but also grasp the overall properties of the information. Especially human relations are the major concerns of social network having several visualization methodologies shown by analyzing relations of each individual in society. We applied social network theory to grasp relationships between characters in Greek mythology representing a limited society. But the current tools of social network analysis have limits that they show the information one-sided way because of the ignorance of user-oriented design. Mitologia attempts to suggest the visual structure model more effective and easy to understand in analyzing data. We extracted connections among myth characters by evaluating classes, frequencies of appearance and emotional links they have. And we raised the understanding of users with furnishing the proper interaction to the information. The initial interface offers 4 kinds of indexes helping to access character nodes easily, while zoom-in function can be used for the detailed relations. The Zoom-in is quite different from usual filtering methods. It makes the irrelative information invisible so that users can find out the characters' relation more easily and quickly. This project suggests the layout to show overall information relationships and the appropriate interactions to present detailed information at the same time.

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초고속망번호체계 검토

  • Lee, Jun-Ho
    • 정보화사회
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    • s.106
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    • pp.12-13
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    • 1996
  • 초고속 정보통신망은 정부에서 투자, 2010년까지 정부기관 및 연구소, 공공기관에 정보서비스를 제공하려는 것으로 2010년까지 약 3만개의 기관이 가입할 전망이다. 궁극적으로 초고속 정보통신망(국가망)이 초고속 공중망과 연결돼서 일반 국민들이 정부가 보유하고 있는 정보를 접속할 수 있도록 구축할 계획이다.

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Analysis of Information Education Related Theses Using R Program (R을 활용한 정보교육관련 논문 분석)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.21 no.1
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    • pp.57-66
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    • 2017
  • Lately, academic interests in big data analysis and social network has been prominently raised. Various academic fields are involved in this social network based research trend, which is, social network has been actively used as the research topic in social science field as well as in natural science field. Accordingly, this paper focuses on the text analysis and the following social network analysis with the Master's and Doctor's dissertations. The result indicates that certain words had a high frequency throughout the entire period and some words had fluctuating frequencies in different period. In detail, the words with a high frequency had a higher betweenness centrality and each period seems to have a distinctive research flow. Therefore, it was found that the subjects of the Master's and Doctor's dissertations were changed sensitively to the development of IT technology and changes in information curriculum of elementary, middle and high school. It is predicted that researches related to smart, mobile, smartphone, SNS, application, storytelling, multicultural, and STEAM, which had an increased frequency in period 4, would be continuously conducted. Moreover, the topics of robots, programming, coding, algorithms, creativity, interaction, and privacy will also be studied steadily.

글로벌 해상화물의 물류네트워크 패턴 연구: SNA 분석 중심으로

  • 김주혜;김율성;남정우
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.394-395
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    • 2022
  • 급변하는 환경변화에 따라 해상화물 네트워크의 구조에 대한 정밀한 분석과 발전방향에 대한 예측의 필요성이 제기되고 있다. 사회연결망 분석인 SNA 분석을 통해 글로벌 해상 물류네트워크의 변화 특성을 분석하였다.

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Research on the core of unmanned system development using SNA (SNA을 이용한 무인체계 발전의 중심에 대한 연구)

  • Jin-Gwang Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.215-218
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    • 2024
  • 본 논문에서는 사회연결망분석을 이용하여 무인체계 관련 뉴스, 기사 자료를 분석하고 이를 통해 무인체계 발전의 중심을 파악하고자 하였다. 국방부는 인구감소로 인한 병역자원의 감소 문제를 해결하기 위해 발전하는 과학기술을 바탕으로 기존 병력 중심의 유인체계에서 AI 기반 유·무인 복합전투체계로 전환하기 위한 계획을 추진하고 있다. 이에 따라 최근 5년간의 무인체계 발전 동향을 확인함으로써 국방 무인체계 발전의 중심이 되는 노드를 살펴보고자 한다.

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