• 제목/요약/키워드: Network Visualization

검색결과 478건 처리시간 0.027초

A New Communication Network Model for Chat Agents in Virtual Space

  • Kim, Jong-Woo;Ji, Seong-Hyun;Kim, Seon-Yeong;Cho, Hwan-Gue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권2호
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    • pp.287-312
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    • 2011
  • Internet chat programs and instant messaging services are becoming increasingly popular among Internet users. One of the crucial issues with Internet chat is how to manage the corresponding pairs of questions and answers in a sequence of conversations. Although many novel methodologies have been introduced to cope with this problem, most are poor in managing interruptions, organizing turn-taking, and conveying comprehension. The Internet environment is recently evolving into a 3D environment, but the problems with managing chat dialogues with the standard 2D text-based chat have remained. Therefore, we propose a more realistic communication model for chat agents in 3D virtual space in this paper. First, we propose a new method to measure the capacity of communication between chat agents and a novel visualization method to depict the hierarchical structure of chat dialogues. In addition, we are concerned with communication networks for virtual people (avatars) living in virtual worlds. In this paper we consider a microscopic aspect of a social network in a relatively short period of time. Our experiments show that our model is highly effective in a virtual chat environment, and the communication network based on our model greatly facilitates investigation of a very large and complicated communication network.

키워드 네트워크 분석을 통한 「패션비즈니스」 연구 동향 -패션마케팅 및 디자인 분야를 중심으로- (Research Trends in Journal of Fashion Business -A Social Network Analysis of Keywords in Fashion Marketing and Design Area-)

  • 이미영;이정민
    • 패션비즈니스
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    • 제23권3호
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    • pp.51-66
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    • 2019
  • The aim of this study is to identify research trends of "Journal of Fashion Business" by analyzing the keyword network of the paper published between 2006 and 2017. The papers selected for analysis in the study were 287 fashion design articles and 281 fashion marketing articles published between February 2006 and December 2017 and titles, volumes, publishing years, authors, keywords, and abstracts of each paper were collected for data analysis. The research was carried out through selection, collection of article data, keyword extraction and coding, keywords refinement, formation of network matrix, and analysis and visualization process. First, based on the title of the paper used in the analysis, the fashion design/aesthetics, marketing/social psychology, clothing materials, clothing composition, and other fields were classified. Research analysis used the Netminer 4 (Ver.4.3.2) program. Results indicated showed that the intellectual structure of the "Fashion Business" research paper showed key word changes over time, and the degree centrality and between centrality of the keywords.

가상현실 기반 업무공간 융복합 분야 연구 동향 분석 : 패스파인더 네트워크와 병렬 최근접 이웃 클러스터링 방법론 활용 (Investigation of Trend in Virtual Reality-based Workplace Convergence Research: Using Pathfinder Network and Parallel Neighbor Clustering Methodology)

  • 하재빈;강주영
    • 한국정보시스템학회지:정보시스템연구
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    • 제31권2호
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    • pp.19-43
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    • 2022
  • Purpose Due to the COVID-19 pandemic, many companies are building virtual workplaces based on virtual reality technology. Through this study, we intend to identify the trend of convergence and convergence research between virtual reality technology and work space, and suggest future promising fields based on this. Design/methodology/approach For this purpose, 12,250 bibliographic data of research papers related to Virtual Reality (VR) and Workplace were collected from Scopus from 1982 to 2021. The bibliographic data of the collected papers were analyzed using Text Mining and Pathfinder Network, Parallel Neighbor Clustering, Nearest Neighbor Centrality, and Triangle Betweenness Centrality. Through this, the relationship between keywords by period was identified, and network analysis and visualization work were performed for virtual reality-based workplace research. Findings Through this study, it is expected that the main keyword knowledge structure flow of virtual reality-based workplace convergence research can be identified, and the relationship between keywords can be identified to provide a major measure for designing directions in subsequent studies.

소셜미디어 뉴스를 이용한 관심 이슈 연구 (A Study on Interest Issues Using Social Media New)

  • 곽노영;이문봉
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권2호
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    • pp.177-190
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    • 2023
  • Purpose Recently, as a new business marketing tool, short form content focused on fun and interest has been shared as hashtags. By extracting positive and negative keywords from media audiences through comment analysis of social media news, various stakeholders aim to quickly and easily grasp users' opinions on major news. Design/methodology/approach YouTube videos were searched using the YouTube Data API and the results were collected. Video comments were crawled and implemented as HTML elements, and the collection results were checked on the web page. The collected data consisted of video thumbnails, titles, contents, and comments. Comments were word tokenized with the R program, comparing positive and negative dictionaries, and then quantifying polarity. In addition, social network analysis was conducted using divided positive and negative comments, and the results of centrality analysis and visualization were confirmed. Findings Social media users' opinions on issue news were confirmed by analyzing and visualizing the centrality of keywords through social network analysis by dividing comments into positive and negative. As a result of the analysis, it was found that negative objective reviews had the highest effect on information usefulness. In this way, previous studies have been reaffirmed that online negative information has a strong effect on personal decision-making. Corporate marketers will analyze user comments on social network services (SNS) to detect negative opinions about products or corporate images, which will serve as an opportunity to satisfy customers' needs.

Exploring the Movements of Chinese Free Independent Travelers in the U.S.: A Social Network Analysis Approach

  • Lin Li;Yoonjae Nam;Sung-Byung Yang
    • Asia pacific journal of information systems
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    • 제29권3호
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    • pp.448-467
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    • 2019
  • In a new age of smart tourism, free independent travelers (FITs) choose their travel routes in a more diversified and less predictable way with the aid of smart services. This paper focuses on the movements of Chinese outbound FITs in the U.S. in the year of 2018. 110 places to visit (destinations) extracted from 122 travel routes recommendations on Qyer.com, a major online travel community in China, are analyzed with social network analysis (SNA). Based on the results of SNA, employing degree centrality, eigenvector centrality, betweenness centrality, network visualization, and cluster diagram methods, some preferred cities and natural attractions outside city centers (i.e., New York City (NYC), Los Angeles, San Francisco, Washington D.C., and Niagara Falls) are identified. Moreover, it is found that NYC in the East and Los Angeles in the West play a major role in the movements of Chinese FITs. This study contributes to the body of knowledge on tourist destination movements and provides valuable implications for smart service development in the tourism and hospitality industry.

신경회로망을 이용한 온도장 가시화에 관한 연구 (A Study on the Visualization of Temperature Field Using Neural Network)

  • 이철재;배대석
    • 동력기계공학회지
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    • 제16권3호
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    • pp.37-43
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    • 2012
  • 감온액정을 추적입자로 사용한 PIV(Particle Image Velocimetry)법이 온도장을 정량적으로 가시화하기 위하여 사용되었다. 이 방법은 전체 유동장과 온도장을 동시에 계측할 수 있는 방법이지만, 온도장의 온도는 온도에 따라 변화되는 액정의 색을 정량적 온도 값으로 변환시켜야한다. 따라서 본 연구에서는 감온액정에 의한 온도장의 광학적 정보를 정량적 온도로 변환시키는 신경회로망 보정기법을 개발하여 그 타당성을 검토한 후, 수직온도구배를 가진 액체의 기포에 의한 대류유동에 적용하여 기포에 의한 온도혼합과정을 정량적으로 가시화하고자 한다.

A Study on the Future Direction of the Digital Signage Industry in Korea: A Big Data Network Analysis from 2008 to 2019

  • Yoo, Seung-Chul;Piscarac, Diana
    • International Journal of Advanced Culture Technology
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    • 제8권1호
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    • pp.120-127
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    • 2020
  • The use of digital signage in the public and commercial communication areas has been increasing in recent years. By integrating cutting-edge information technologies such as 5G, artificial intelligence, and the Internet of Things, digital signage continues to break apart from traditional outdoor advertising media. This study identified the problems facing the domestic digital signage industry by exploring and analyzing major issues related to digital signage and derived future development measures. Specifically, online documents were collected based on the digital signage-related keywords created over the past 12 years to conduct big data network analysis, and key topics were derived through visualization of the results. This study has great policy implications in that it excluded biased interpretations based on the viewpoints of companies or the government and, more objectively, suggested the direction of the digital signage industry's development in the domestic media market.

Development of 3-D viewer for indoor location tracking system using wireless sensor network

  • Yang, Chi-Shian;Chung, Wan-Young
    • 센서학회지
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    • 제16권2호
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    • pp.110-114
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    • 2007
  • In this paper we present 3-D Navigation View, a three-dimensional visualization of indoor environment which serves as an intuitive and unified user interface for our developed indoor location tracking system via Virtual Reality Modeling Language (VRML) in web environment. The extracted user's spatial information from indoor location tracking system was further processed to facilitate the location indication in virtual 3-D indoor environment based on his location in physical world. External Authoring Interface (EAI) provided by VRML enables the integration of interactive 3-D graphics into web and direct communication with the encapsulated Java applet to update position and viewpoint of user periodically in 3-D indoor environment. As any web browser with VRML viewer plug-in is able to run the platform independent 3-D Navigation View, specialized and expensive hardware or software can be disregarded.

Arms Value Algorithm: 소셜 네트워크 분석 기반 C2 체계 핵심노드 식별 (Arms Value Algorithm: Identifying Core Node using Social Network Analysis in C2 System)

  • 원종현;박건우;이상훈
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(A)
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    • pp.13-16
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    • 2011
  • 최근 들어 네트워크1로 연결된 체계들을 효율적으로 운영하여 최대의 효과를 달성하기 많은 연구들이 수행되고 있다. 하지만 지휘통제체계 네트워크 구조 분석에 관한 연구는 상대적으로 미흡한 실정이다. 따라서 본 연구에서는 지휘통제체계 중 육군의 SPIDER체계를 대상으로 소설 네트워크 분석 (Social Network analysis)기법을 이용하여 중앙성분석과 시각화(Visualization)를 통해 핵심노드를 식별하는 arms value 알고리즘을 제안하고 분석 결과를 기반으로 TICN체계 전력화시 기초 연구자료로 활용하고자 한다.

Political Discourse Among Key Twitter Users: The Case Of Sejong City In South Korea

  • Hsu, Chien-leng;Park, Se Jung;Park, Han Woo
    • Journal of Contemporary Eastern Asia
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    • 제12권1호
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    • pp.65-79
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    • 2013
  • This paper examines communication patterns of key Twitter users by considering the socially and politically controversial Sejong City issue in South Korea. The network and message data were drawn from twtkr.com. Social network-based indicators and visualization methods were used to analyze political discourse among key Twitter users over time and illustrate various types of Tweets by these users and the interconnection between these key users. In addition, the study examines general Twitter users' participation in the discussion on the issue. The results indicate that some Twitter profiles of media outlets tend to be very dominant in terms of their message output, whereas their Tweets are not likely to be circulated by other users. Noteworthy is that Twitter profiles of individuals who are geographically affiliated with the issue are likely to play an important role in the flow of communication.