• 제목/요약/키워드: web link analysis

검색결과 92건 처리시간 0.026초

웹 정보원의 동시인용분석에 관한 실험적 연구 (An Experimental Study of Cocitation Analysis on Web Information)

  • 정동열;최윤미
    • 정보관리학회지
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    • 제16권2호
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    • pp.7-26
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    • 1999
  • 본 연구는 계량정보학적 분석방법을 웹 정보원에 적용하여 커뮤니케이션 분야의 웹 정보원에 대한 동시인용분석을 실험적으로 실시하고 있다. 특정 학문분야의 지적구조를 규명하기 위하여 링크 건수를 기준으로 선정된 웹 정보원을 대상으로 동시인용빈도, 상관계수행렬, 다차원축적기법과 군집분석 등 동시인용분석 기법을 적용하고 있다. 분석대상이 인쇄문헌에 적용되어 온 분석기법이 웹 정보원에 적용될 수 있음을 규명하고 있다. 아울러 동시인용분석에서 인쇄문헌과 웹 정보원이 갖는 특성과 연구방법상의 차별성 등을 분석한다.

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링크다운 시간에 따른 TCP와 SCTP의 웹 트래픽 분석 (Web Traffic Analysis according to the Link-down Duration of TCP and SCTP)

  • 최용운;조광문;이용진
    • 한국콘텐츠학회논문지
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    • 제10권3호
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    • pp.44-52
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    • 2010
  • 인터넷에서 가장 많이 사용하고 있는 월드 와이드 웹(world wide web) 트래픽은 트랜스포트 계층 프로토콜로 TCP를 사용하고 있다. TCP는 단일 경로를 사용하므로 경로상의 링크가 다운(down)된 후 다시업(up)될 때까지의 시간동안 통신할 수 없다. 이에 비해 SCTP는 다중 경로를 사용하므로 1차 경로가 다운되어도 대체 경로를 이용하여 통신이 가능하다. TCP와 SCTP의 성능을 비교하는 기존 연구들은 주로 파일 전송을 사용하여 수행되었고, 링크다운 환경에서 웹 트래픽을 다룬 연구는 없었다. 자기-유사성의 특징을 갖는 웹 트래픽은 웹 파일의 크기에 영향을 주는 파레토 분포의 형태(shape) 파라미터와 평균 도착 시간간격에 의해 특징지어지므로 이 두 개의 파라미터에 따른 성능 비교가 필요하다. 따라서 본 연구에서는 링크다운 환경에서 웹 트래픽의 특성을 반영하는 두 개의 파라미터를 변화시키면서 TCP와 SCTP의 처리율을 비교하였다. NS-2 시뮬레이션을 사용한 웹 트래픽의 실험 결과는 멀티호밍을 사용한 SCTP의 처리율이 TCP의 처리율보다 우수함을 보여주었다. 특히 웹 트래픽의 특성과 관련해서는 TCP가 SCTP에 비해 평균 도착시간 간격과 형태 파라미터에 더 많은 영향을 받았다. 이 연구의 결과는 링크의 다운기간에 따른 웹 트래픽의 성능변화를 예측하는 데 이용될 수 있다.

Cyclic loading behavior of high-strength steel framed-tube structures with replaceable shear links constructed using Q355 structural steel

  • Guo, Yan;Lian, Ming;Zhang, Hao;Cheng, Qianqian
    • Steel and Composite Structures
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    • 제42권6호
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    • pp.827-841
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    • 2022
  • The rotation capacities of the plastic hinges located at beam-ends are significantly reduced in traditional steel framed-tube structures (SFTSs) because of the small span-to-depth ratios of the deep beams, leading to the low ductility and energy dissipation capacities of the SFTSs. High-strength steel framed-tube structures with replaceable shear links (HSSFTS-RSLs) are proposed to address this issue. A replaceable shear link is located at the mid-span of a deep spandrel beam to act as a ductile fuse to dissipate the seismic energy in HSSFTS-RSLs. A 2/3-scaled HSSFTS-RSL specimen with a shear link fabricated of high-strength low-alloy Q355 structural steel was created, and a cyclic loading test was performed to study the hysteresis behaviors of this specimen. The test results were compared to the specimens with soft steel shear links in previous studies to investigate the feasibility of using high-strength low-alloy steel for shear links in HSSFTS-RSLs. The effects of link web stiffener spaces on the cyclic performance of the HSSFTS-RSLs with Q355 steel shear links were investigated based on the nonlinear numerical analysis. The test results indicate that the specimen with a Q355 steel shear link exhibited a reliable and stable seismic performance. If the maximum interstory drift of HSSFTS-RSL is designed lower than 2% under earthquakes, the HSSFTS-RSLs with Q355 steel shear links can have similar seismic performance to the structures with soft steel shear links, even though these shear links have similar shear and flexural strength. For the Q355 steel shear links with web height-to-thickness ratios higher than 30.7 in HSSFTS-RSLs, it is suggested that the maximum intermediate web stiffener space is decreased by 15% from the allowable space for the shear link in AISC341-16 due to the analytical results.

Link Analysis on Institutional Repository web Network of Indian Institute of Technologies Registered in open DOAR-uncovering Patterns and Trends Hidden in the Network

  • Kumar, Kutty
    • International Journal of Knowledge Content Development & Technology
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    • 제8권2호
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    • pp.23-36
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    • 2018
  • Institutional repositories (IR) are promising to be extremely advantageous to scholars especially in developing countries. IR initiatives started in India during the late nineties and the popularity of this concept is growing rapidly in the higher educational and research institutions to disseminate newly emerging knowledge and expertise. The purpose of this paper is to critically analyze the network links of IR websites among four IITs that are registered in open DOAR (Directory of Open Access Repositories) web portal. The Institutional Repositories chosen for the study are IIT Delhi, IIT Hyderabad, IIT Bombay, and IIT Kanpur. The analysis of the study focused on standard graph and network cohesion metrics, such as density, diameter, eccentricity and distances, and clustering coefficient; for an even more detailed analysis advanced centrality measures and fast algorithms such as clique census are used.

Seismic performance of high-strength steel framed-tube structures with bolted web-connected replaceable shear links

  • Lian, Ming;Cheng, Qianqian;Guan, Binlin;Zhang, Hao;Su, Mingzhou
    • Steel and Composite Structures
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    • 제37권3호
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    • pp.323-339
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    • 2020
  • In steel framed-tube structures (SFTSs), the plastic hinges at beam-ends cannot be adequately improved because of the large cross sections of spandrel beams, which results in the lower ductility and energy dissipation capacities of traditional SFTSs. To address this drawback, high-strength steel fabricated SFTSs with bolted web-connected replaceable shear links (HSFTS-SLs) have been proposed. In this system, shear links use conventional steel and are placed in the middle of the deep spandrel beams to act as energy dissipative components. In this study, 2/3-scaled HSFTS-SL specimens were fabricated, and cyclic loading tests were carried out to study the seismic performance of both specimens. The finite element models (FEMs) of the two specimens were established and the numerical results were compared with the test results. The results showed that the specimens had good ductility and energy dissipation capacities due to the reliable deformation capacities. The specimens presented the expected failure modes. Using a shorter shear link can provide a higher load-carrying capacity and initial elastic lateral stiffness but induces lower ductility and energy dissipation capacity in HSFTS-SLs. The performance of the specimens was comparable to that of the original sub-structure specimens after replacing shear links. Additionally, the expected post-earthquake recoverability and resilience of the structures could be achieved by replacing shear links. The acceptable residual interstory drift that allows for easy replacement of the bolted web-connected shear link was 0.23%. The bolted web-connected shear links had reliable hysteretic responses and deformation capacities. The connection rotation had a notable contribution to total link rotation. The results of the numerical analysis run for the proposed FEMs were consistent with the test results. It showed that the proposed FEMs could be used to investigate the seismic performance of the HSFTS-SL.

VMD(Visual Merchandizing) Strategy Analysis for Revitalizing Web Fashion Star shop

  • Lee, Kun-Hee
    • 패션비즈니스
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    • 제12권6호
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    • pp.138-151
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    • 2008
  • This study aims at providing comprehensive data which would be helpful to establish a web shopping mall by analyzing the structure of web fashion star shops which have recently emerged as a result of advances in digital technology and communication. For the purpose of analyzing VMD strategy used in web fashion star shop, we adopt both of the documental and empirical research methods, based on which we examine the concept of E-commerce and current business situation of web fashion star shop industry, and then analyze the main page, product category page and product detail page in a star shop featured by a male pop star within a web shopping mall. According to our analysis of the structure of web fashion star shop, in case of open market, a banner with star's image on it leads to star shop when people click on the link of the banner, and in case of independent mall, they show each star's unique style in the main page. Product category page is linked to each product detail page which presents items of various fashion coordinates, satisfying needs of consumers to follow star's trendy fashion sense.

가상상점에서 고객 행위 연관성 분석을 위한 데이터 마이닝 기법 (A Data Mining Technique for Customer Behavior Association Analysis in Cyber Shopping Malls)

  • 김종우;이병헌;이경미;한재룡;강태근;유관종
    • 한국전자거래학회지
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    • 제4권1호
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    • pp.21-36
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    • 1999
  • Using user monitoring techniques on web, marketing decision makers in cyber shopping malls can gather customer behavior data as well as sales transaction data and customer profiles. In this paper, we present a marketing rule extraction technique for customer behavior analysis in cyber shopping malls, The technique is an application of market basket analysis which is a representative data mining technique for extracting association rules. The market basket analysis technique is applied on a customer behavior log table, which provide association rules about web pages in a cyber shopping mall. The extracted association rules can be used for mall layout design, product packaging, web page link design, and product recommendation. A prototype cyber shopping mall with customer monitoring features and a customer behavior analysis algorithm is implemented using Java Web Server, Servlet, JDBC(Java Database Connectivity), and relational database on windows NT.

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한국.일본의 과학기술 분야 웹 공간을 통한 학술커뮤니케이션 연구 (A Webometric Study on Scholarly Communication Between the Science and Technology Web Spaces of Korea and Japan)

  • 김자의;정영미
    • 정보관리연구
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    • 제40권2호
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    • pp.1-24
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    • 2009
  • 이 연구에서는 국내 기관들 간의 웹을 통한 학술커뮤니케이션 분석에서 더 나아가 국가 차원에서 한국과 일본 과학기술 분야 웹 공간에서의 학술적 교류를 파악하는 것을 목적으로, 웹계량학적 방법론과 사회연결망 기법을 적용하여 양 국가의 웹 공간을 분석하였다. 전체적으로 한국이 일본의 과학기술 분야 웹 학술정보를 더 많이 이용하고 있었으며, 한 일 국가간 학술커뮤니케이션을 이끄는 주체는 대학이라고 할 수 있을 정도로 두 나라 모두 대학을 중심으로 많은 링크를 보내거나 받고 있었다. 링크기반 분석에서 한국과 일본이 상대 국가에 대해 의존적인 학문 분야는 서로 다르게 나타났으며, 학문분야별로 상대 국가에 의해 많이 이용되고 있는 학술정보를 생산하는 한국과 일본의 대학 및 연구기관들을 파악할 수 있었다.

링크 분석에 기반한 웹 문서 중요도 평가 알고리즘의 구현 (An Implementation of the Ranking Algorithm for Web Documents based on Link Analysis)

  • 임성채
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2010년도 제42차 하계학술발표논문집 18권2호
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    • pp.75-78
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    • 2010
  • 웹 검색에는 기존의 정보검색(Information Retrieval) 시스템에서와 다르게 문서 간 하이퍼링크 정보를 바탕으로 각 웹 문서의 고유 중요도를 추정하는 방식이 자주 이용된다. 링크 분석에 기반한 알고리즘 중 PageRank 알고리즘은 구글의 웹 검색 서비스에 적용된 것으로 알려져 있다. 이런 PageRank 알고리즘에 따라 중요도를 계산하는 경우 색인된 웹 문서수가 증가함에 따라 계산에 필요한 CPU 자원의 사용도 함께 증가하며, 문서 수가 수 억 페이지에 달하면 하나의 서버에서는 계산을 수행할 수 없다는 문제가 있다. 본 논문에서는 이런 문제점을 해소하기 위해 여러 대의 서버를 PageRank 계산 용 클러스터로 사용할 수 있는 방법을 제시한다. 제시된 방법은 고속의 LAN을 이용하여 여러 대의 서버를 연결하고 반복적인 행렬 계산을 병렬로 수행할 수 있어 계산 시간을 단축시킬 수 있다. 이런 서버 클러스터 구현을 위해 멀티 쓰레딩 프로그램이 작성되었으며, PageRank 계산에 사용되는 행렬 데이터를 적은 양의 메모리만으로 표현 가능하도록 하였다.

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Link Prediction in Bipartite Network Using Composite Similarities

  • Bijay Gaudel;Deepanjal Shrestha;Niosh Basnet;Neesha Rajkarnikar;Seung Ryul Jeong;Donghai Guan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권8호
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    • pp.2030-2052
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    • 2023
  • Analysis of a bipartite (two-mode) network is a significant research area to understand the formation of social communities, economic systems, drug side effect topology, etc. in complex information systems. Most of the previous works talk about a projection-based model or latent feature model, which predicts the link based on singular similarity. The projection-based models suffer from the loss of structural information in the projected network and the latent feature is hardly present. This work proposes a novel method for link prediction in the bipartite network based on an ensemble of composite similarities, overcoming the issues of model-based and latent feature models. The proposed method analyzes the structure, neighborhood nodes as well as latent attributes between the nodes to predict the link in the network. To illustrate the proposed method, experiments are performed with five real-world data sets and compared with various state-of-art link prediction methods and it is inferred that this method outperforms with ~3% to ~9% higher using area under the precision-recall curve (AUC-PR) measure. This work holds great significance in the study of biological networks, e-commerce networks, complex web-based systems, networks of drug binding, enzyme protein, and other related networks in understanding the formation of such complex networks. Further, this study helps in link prediction and its usability for different purposes ranging from building intelligent systems to providing services in big data and web-based systems.