• Title/Summary/Keyword: 사회적 네트워크분석

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Analysis of Empathy-Related Research Trends in Social Selfare Studies (사회복지학문 분야에서 공감 관련 연구동향 분석)

  • Kweon, Sin-Jung;Kim, Kangmin
    • The Journal of the Korea Contents Association
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    • v.20 no.10
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    • pp.544-553
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    • 2020
  • This study was intended to examine the academic role of social welfare by analysis the trends of empathic research in the field of social welfare studies in Korea, and to explore the direction and tasks to move forward. For this purpose, technical analysis and language network analysis were performed based on the category system and the frequency of simultaneous language presentation by selecting academic papers related to empathy in the field of social welfare studies in Korea from 2000 to June 2020. According to the analysis, the number of empathic studies in the social welfare field has increased steadily since 2000, and the number of studies in the last three years has increased significantly, and the research field has been mainly in the "social welfare general" category. In terms of research, the most common research was related to empathy and the relationship between other variables, while quantitative research was the most important method used in the research. As empathic-related research increase in social welfare studies, such research results require efforts such as expansion of research field and research contents and attempts of various research methods.

Analysis on the Perception of the Cyber Dysfunction in the Intelligent Information Society According to the Introduction of the Bright Internet Trust Network (Bright Internet 신뢰네트워크 도입에 따른 지능정보사회의 사이버 역기능 해소에 대한 인식 분석)

  • Gyoo Gun Lim;Jae Ik Ahn
    • Information Systems Review
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    • v.22 no.3
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    • pp.99-118
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    • 2020
  • At present, our society is developing into the intelligent information society in the wave of the 4th industrial revolution, and this change will have the positive effect of innovating all industry fields. However, due to the duality of technology, there will be positive and negative effects. With intelligence, threats to cyber dysfunction such as hacking, terrorism, privacy infringement, and illegal content distribution will become more serious. Until now, the security system of the Internet has been a proactive security system, but in recent years, a proposal for a trust network, a preventive security system, has been introduced. Therefore, this study aims to analyze the possibility of resolving cyber dysfunction of intelligent information society about Bright Internet, one of trust network technologies. This study defines the cyber dysfunction of the intelligent information society and analyzes the perceptions of changes in the cyber dysfunction of the intelligent information society on the introduction of the five principles of the Bright Internet. The change of cyber dysfunction severity of the intelligent information society due to the introduction of the trust network is analyzed to reflect the technical and social demands. This work will guide the structure of the trust network and the direction of practical technological introduction and its influence.

Characterizing the Structure of China's Passenger Railway Network Based on the Social Network Analysis(SNA) Approaches : Focused on the 2008, 2013, and 2018 Railway Service Data, Respectively (사회 네트워크 분석 방법론에 기초한 중국의 여객 철도 네트워크 특성 분석 : 2008년, 2013년, 2018년 운행 데이터를 중심으로)

  • Zhao, Pei-Song;Lee, Jin-Hee;Lee, Man-Hyung
    • The Journal of the Korea Contents Association
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    • v.19 no.10
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    • pp.685-697
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    • 2019
  • The study aimed to analyze the structure of China's passenger railway network in the years of 2008, 2013, and 2018, respectively. At the same time, it tried to investigate its derivative impact on the patterns of Chinese urban network. The analytical tool was based on the NetMiner4.0. In order to measure network characteristics of China's passenger railway network, it primarily focused on the degree centrality, betweenness centrality, and closeness centrality. First of all, the higher degree centralities, with a few exceptions, were observed in BeiJing, ShangHai, GuangZhou, WuHan, XiAn, ChengDu, HaErBin, and ShenYang over a decade. In contrast, the higher betweenness centralities were recorded in cities of higher development potential including WuLuMuQi, GuiYang, ShenYang, and KunMing. The closeness centrality analyses confirmed the fact that most metropoles like BeiJing, ShangHai, and GuangZhou kept the highest train accessibility during the same research period. At the same time, the opening up of a new stretch of high speed railway network has consecutively strengthened connectivity between BeiJing and TianJin. Owing to unprecedented development of railway traffic and its extensive operations, this study believes that Chinese major cities, without interruption, would pursue a series of urban policy alternatives geared towards railway stations-oriented networking and competitively try to extend their network ranges.

A Purchase Pattern Analysis Using Bayesian Network and Neural Network (베이지안 네트워크와 신경망을 이용한 구매패턴 분석)

  • Hwang Jeong-Sik;Pi Su-Young;Son Chang-Sik;Chung Hwan-Mook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.3
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    • pp.306-311
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    • 2005
  • To analyze the consumer's purchase pattern, we must consider a factor which is a cultural, social, individual, psychological and so on. If we consider the internal state by the consumer's purchase, Both the consumer's purchase action and the purchase factor can be predicted, so the corporation can use effectively in suitable goods development in a consumer's preference. These factors need a technology that treat uncertain information, because it is difficult to analyze by directly information processing. Therefore, bayesian network manages elements those the observation of inner state such as consumer's purchase is difficult. In addition, it is interpretable about data that the observation is impossible. In this paper, we examine the seller's know-how and the way of consumer's purchase to analyze consumer's purchase action pattern through goods purchase. Also, we compose the bayesian network based on the examined data, and propose the method that predicts purchase patterns. Finally, we remove the data including unnecessary attribute using the bayesian network, and analyze the consumer's Purchase pattern using Kohonen's SOM method.

Correlation and Spatial Analysis between the number of Confirmed Cases of the COVID-19 and Traffic Volume based on Taxi Movement Data (택시 이동 데이터 기반 COVID-19 확진자 수와 교통량 간의 상관관계 및 공간분석)

  • Jeon, Seung Bae;Kim, Geon;Jeong, Myeong-hun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.609-618
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    • 2021
  • The spread and damage of COVID-19 are putting significant pressure on the world, including Korea. Most countries place restrictions on movement and gathering to minimize contact between citizens and these policies have brought new changes to social patterns. This study generated traffic volume data on the scale of a road network using taxi movement data collected in the early stages of the COVID-19 third pandemic to analyze the impact of COVID-19 on movement patterns. After that, correlation analysis was performed with the data of confirmed cases in Daegu Metropolitan City and Local Moran's I was applied to analyze the effect of spatial characteristics. As a result, in terms of the overall road network, the number of confirmed cases showed a negative correlation with taxi driving and at least -0.615. It was confirmed that citizens' movement anxiety was reflected as the number of confirmed cases increased. The commercial and industrial areas in the center of the city confirmed the cold spot with a negative correlation and low-low local Mona's I. However, the road network around medical institutions such as hospitals and spaces with spatial characteristics such as residential complexes was high-high. In the future, this analysis could be used for preventive measures for policymakers due to COVID-19.

Development of Web Crawler and Network Analysis Technology for Occurrence and Prediction of Flooding (수난 발생 및 규모 예측을 위한 웹 크롤러 및 네트워크 분석기술 개발)

  • Seo, Dongmin;Kim, Hoyong;Lee, Jeongha;Hwang, Seokhwan
    • Proceedings of the Korea Contents Association Conference
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    • 2019.05a
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    • pp.5-6
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    • 2019
  • 빅데이터 분석을 위해 활용되는 데이터로는 뉴스, 블로그, SNS, 논문, 특허 그리고 센서로부터 수집된 데이터 등 매우 다양한 유형의 데이터가 있다. 특히, 신뢰성 있는 데이터를 실시간 제공하는 웹 데이터의 활용이 점차 확산되고 있다. 그리고 빅데이터의 활용이 다양한 분야로 점차 확산되고 웹 데이터가 매년 기하급수적으로 증가하면서, 최근 웹 데이터는 재난대응 미디어로써 매우 중요한 역할을 하고 있다. 또한, 빅데이터 분석에 활용되는 원천 데이터는 네트워크 형태이며, 최근 소셜 네트워크 분석을 통한 효과적인 상품 광고, 핵심 유전자 발굴, 신약 재창출 등 다양한 영역에서 네트워크 분석 기술이 사회와 인류에게 가치 있는 정보를 제공할 수 있는 가능성을 제시하면서 네트워크 분석 기술의 중요성이 부각되고 있다. 본 논문에서는 웹에서 제공하는 뉴스와 SNS 데이터를 이용해 수난 발생 및 규모 예측을 지원하는 웹 크롤러 및 네트워크 분석기술을 제안한다.

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Ascertaining the Structure and Content of a National Scholarly Web Space Based on Content Analysis (내용 분석을 통한 한국의 학술적 웹 공간 구조 분석)

  • Chung, Young-Mee;Yu, So-Young
    • Journal of the Korean Society for information Management
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    • v.26 no.3
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    • pp.7-24
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    • 2009
  • Since the Web is dynamic, it is necessary to analyze scholarly Web space with both quantitative and qualitative methods for better understanding of communication characteristics. In this study, we analyzed contents of pages and links to ascertain the characteristics of Korean scholarly Web space in terms of network structure and communication behavior. The result shows that the structure of the original network with all the external links remained is not much different from that of the network with activated external links only. However, the purposes of linking vary among scholarly institutions. The centrality measures correlate more strongly with the clustering coefficient than with the constraint index implying the similar explanatory power of the two types of structural indices.

선진국 정보보호 정책 동향 분석

  • 김정태;이현우;현창희
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2004.05a
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    • pp.5-17
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    • 2004
  • 대부분의 선진국들이 정보통신사회로 점진적으로 변모함에 따라서, 사회 기반시설이 네트워크를 통해 연결되어 많은 사용자들이 편리하게 이를 이용할 수 있는 환경이 조성되었다. 그러나. 이러한 순기능과 더불어 웜이나 바이러스와 같은 악성코드나 네트워크를 이용한 범죄의 증가로 인해 경제적, 사회적 문제가 대두되기 시작하였고, 사이버테러리즘이 일부 국가에서 나타나고 있는 테러의 수단 중 하나가 될 수 있다는 예상도 잇따르고 있다. 이에, 공공 안전을 위한 중요한 요소의 하나로 정보보호가 부각됨에 따라 미국, 일본 등의 선진국은 정보보호 관련 법안의 제정 및 관련기술의 연구개발이나 투자를 시행하고 있다. 이러한 선진국에서의 정보보호 정책 도입과정에서의 주요 쟁점들에 대해 살펴보고 국내 실정에서 참고할 만한 시사점을 찾아보고자 한다.

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Exploring the Suicide Phenomena in Korea Using News Big Data Analysis (뉴스 빅데이터를 활용한 한국의 자살현상 분석)

  • Lee, Jungeun;Lyu, Jiyoung
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.33-46
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    • 2021
  • Using news big data analysis, this study was aimed to examine the suicide phenomena in Korean society, and to evaluate whether suicide prevention policies reflect social phenomena appropriately. For this purpose, 9,142 news titles with suicide as the keyword were collected from eight central newspapers between 2000 to 2018. Nouns were extracted, and data was refined for network analysis. The total period was divided into 4 periods based on the 1st and 2nd suicide prevention policies, and the characteristics of suicide phenomena in each period were identified through the top 50 frequent main words and the clusters. As a result, period 1 (2000~2003) with 6 clusters (military, internet environment, economic problems, pessimism, school, corruption), period 2 (2004~2008) with 8 clusters (high social class, school, economic problems, suicide attempts, family issues, social problems, military, responsibilities), period 3 (2009~2013) with 6 clusters (school, family issues, suicide attempts, occupation, military, investigation), and period 4 (2014~2018) with 8 clusters (military, suicide insurance money, family issues, suicide attempts, occupation, job stress, celebrity, corruption) were identified. Study results suggested the characteristics of suicide phenomena in our society. Further, the appropriateness of the implementation of suicide prevention policies was discussed.

산업분야별 경기전망

  • Korean Associaton of Information & Telecommunication
    • 정보화사회
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    • s.184
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    • pp.14-27
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    • 2007
  • '오늘보다 더 나은 내일' 새해를 맞는 모든 이들의 바람이다. IT업계의 바람도 이와 크게 다르지 않다. 다행스러운 것은 올해가 작년보다 조금 나을 것 같다는 예측들이 많다는 것이다. '정보화사회'가 신년을 맞아 산업 부문별로 경기를 전망한 결과, 유선전화 시장을 제외하고는 대부분의 산업이 역동적으로 움직일 것으로 예상됐다. 모바일 서비스 시장은 3G중심으로 급속히 재편될 것으로 예상됐으며, 휴대폰 시장은 전년 대비 13% 성장할 것으로 전망됐다. IT서비스관리 시장도 작년 대비 50% 이상 급성장 할 것으로 전망됐으며, SI 시장도 비교적 호재가 많을 것으로 예상됐다. 유선, 초고속 인터넷, 모바일, SI, 네트워크, 보안, HW, SW 등 11개 산업분야의 2007년 시장전망을 분석 정리했다.

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