• Title/Summary/Keyword: Hyperlink Network

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A Study on the Hyperlink Structures of the Official Websites of TV Networks: Analysis Focus on ABC, BBC, NHK, and KBS

  • Kweon, Sang-Hee;Kim, Se-Jin;Kang, Bo-Young;Kweon, Hea-Ji
    • Journal of Internet Computing and Services
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    • v.20 no.2
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    • pp.77-91
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    • 2019
  • This paper explores the hyperlink structures of the official websites for the following terrestrial TV networks: ABC(US), BBC(UK), NHK(Japan), and KBS(Korea). These websites were selected and visualized to analyze the hyperlink structure and examine the connection relations among the TV networks. A total of 4378 data was collected through the Voson site and were analyzed with NodeXL. Results shows that NHK's network demonstrates a good network structure at a quite high level, holding more related websites than BBC. We discovered that ABC TV network has the largest effect with the largest number of out-links. Surprisingly, structures of BBC and NHK were quite similar, overcoming geographical and cultural differences. Thus, both TV networks were seen to be progressive and open. On the contrary, ABC and KBS were considered to be relatively conservative. A comprehensive review of the "category points" combination chart revealed that NHK's official website has the widest variety of hyperlinks. The shortest distance of a hyperlink between a website type and a TV network meant that the TV network has a larger number of links to those website types than other TV networks do. The result may provide Internet users to efficiently select TV network web pages according to the types of information they want to find out.

Analysis of Hyperlink Network Relationships among PCOs and Stakeholders in MICE Ecosystem (MICE 생태계 분석을 위한 PCO와 이해관계자 간의 하이퍼링크 관계망 분석)

  • Hyunae Lee;Heechung Chung;Chulmo Koo;Namho Chung
    • Information Systems Review
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    • v.20 no.3
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    • pp.1-16
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    • 2018
  • MICE (Meetings, Incentive trip, Convention and Exhibition & Event) industry is a multifaceted industry with a variety of stakeholders including the public and private sectors, and PCOs (Professional Convention Organizers) play a mediating role in communicating opinions of the stakeholders. For enhancing their reliability and awareness, PCOs have their stakeholders' hyperlinks on the websites. This study attempted to analyze the hyperlink networks among PCOs (Professional Convention Organizers) and their stakeholders so as to understand the MICE industry ecosystem and find out whether the network structure of PCOs' shows different levels of hyperlink use with their stakeholders' websites based upon PCO's performance and size. The results showed the hyperlink network of MICE industry and that the bigger PCOs have higher centralities in the network.

Global Civil Society from Hyperlink Perspective: Exploring the Website Networks of International NGOs

  • Meier, Harald
    • Journal of Contemporary Eastern Asia
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    • v.15 no.1
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    • pp.64-77
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    • 2016
  • This case study takes a look at the hyperlink networks extracted from the websites of 367 international non-governmental organizations (NGOs) with datasets from 2010, 2012 and 2014. The first level of evaluation focuses on connections between the NGOs, identifying important nodes, groups and their relations. The second level takes into account the broad range of networked websites from the World Wide Web delivering insights into general networking patterns. The third level explores the underlying spatial configurations of the network which offers a great variety of geographic insights on information flows between and within continents, countries and cities. The most interesting findings of this study are a low level of interconnectedness between the NGOs and at the same time a strong spatial concentration of all embedded network actors.

A Study on the Hyperlink Network Analysis of Library Web Sites (도서관 웹사이트의 하이퍼링크 네트워크 분석)

  • Roh, Yoon-Ju;Kim, Seong-Hee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.28 no.2
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    • pp.99-117
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    • 2017
  • The present study positively analyzed the hyperlinks of 32 web sites with the purpose of analyzing the hyperlink network structure of web sites for each domestic library type. After collecting the hyperlink data using the crawler, we analyzed the overall characteristics of the websites in the network based on the characteristics of the library. The results are as follows. 1) Among all analyzed libraries, Yonsei scored the highest in degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. 2) By library type, Sejong for national library, Seoul for public library, and Yonsei for college library appeared an influential a relatively. Based on these analysis results, the present study will be utilized as basic data for establishing an operation strategy that improves the efficiency and effectiveness of library web sites in the future.

A Study on a Government Portal from the Knowledge Management Perspective Using Hyperlink Network Analysis: Focusing on the Innovation Portal (정부포탈 지식관리의 하이퍼링크 네트워크 실증 분석 - 혁신포탈 사례를 중심으로 -)

  • Kim, Jaekeun;Yoo, Seung Hyun
    • Informatization Policy
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    • v.17 no.2
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    • pp.25-44
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    • 2010
  • In order to improve organizational performance, organizations should make a knowledge management system to share, distribute, and create related knowledge effectively in the operational process. It is not too much to say that organizational performance depends on the level of network and networking for the use of knowledge among the agents. Theoretically, a web portal is known as a useful instrument not only to link among the actors who have a specific interest and purpose but also to promote social networking which creates new knowledge relevant to user's environment. In the context, this article explored policy implications of building and operating government portals by analysing the efficacy of the "Innovative Portal", which the Korean government had opened to diffuse its innovation activities and to improve organizational innovation capacities in 2005, in innovation process from the knowledge management perspective. In particular, this study tried to identify how did the "Innovation Portal"influence network and networking of innovation knowledge using hyperlink network analysis method.

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International Scientific and Scholarly Communication Networks on World Wide Web (월드와이드웹에 나타난 국제 학술 커뮤니케이션 네트워크에 대한 탐사적 연구)

  • Park, Han-Woo
    • Journal of the Korean Society for Library and Information Science
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    • v.37 no.2
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    • pp.153-168
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    • 2003
  • A hyperlink on academic World Wide Web has started to be recognized as a form of collaborative communication network connecting individual researchers and research groups and expanding their collaboration relations by making possible easy and direct online contact among people or groups anywhere in the world. This paper describes the structure of academic hyperlinks embedded in universities' Web sites hosted at the 10 Asian countries and further, examines the association between the structure of the hyperlink network and collaborative communication pattern among those countries based on their frequency of co-authoring articles. This research found that the number of inter-hyperlinks among universities' Web sites was significantly correlated with the frequency of co-authored articles across the 10 countries.

Arab Spring Effects on Meanings for Islamist Web Terms and on Web Hyperlink Networks among Muslim-Majority Nations: A Naturalistic Field Experiment

  • Danowski, James A.;Park, Han Woo
    • Journal of Contemporary Eastern Asia
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    • v.13 no.2
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    • pp.15-39
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    • 2014
  • This research conducted a before/after naturalistic field experiment, with the early Arab Spring as the treatment. Compared to before the early Arab Spring, after the observation period the associations became stronger among the Web terms: 'Jihad, Sharia, innovation, democracy and civil society.' The Western concept of civil society transformed into a central Islamist ideological component. At another level, the inter-nation network based on Jihad-weighted Web hyperlinks between pairs of 46 Muslim Majority (MM) nations found Iran in one of the top two positions of flow betweenness centrality, a measure of network power, both before and after early Arab Spring. In contrast, Somalia, UAE, Egypt, Libya, and Sudan increased most in network flow betweenness centrality. The MM 'Jihad'-centric word co-occurrence network more than tripled in size, and the semantic structure more became entropic. This media "cloud" perhaps billowed as Islamist groups changed their material-level relationships and the corresponding media representations of Jihad among them changed after early Arab Spring. Future research could investigate various rival explanations for this naturalistic field experiment's findings.

Sorting Instagram Hashtags all the Way throw Mass Tagging using HITS Algorithm

  • D.Vishnu Vardhan;Dr.CH.Aparna
    • International Journal of Computer Science & Network Security
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    • v.23 no.11
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    • pp.93-98
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    • 2023
  • Instagram is one of the fastest-growing online photo social web services where users share their life images and videos with other users. Image tagging is an essential step for developing Automatic Image Annotation (AIA) methods that are based on the learning by example paradigm. Hashtags can be used on just about any social media platform, but they're most popular on Twitter and Instagram. Using hashtags is essentially a way to group together conversations or content around a certain topic, making it easy for people to find content that interests them. Practically on average, 20% of the Instagram hashtags are related to the actual visual content of the image they accompany, i.e., they are descriptive hashtags, while there are many irrelevant hashtags, i.e., stophashtags, that are used across totally different images just for gathering clicks and for search ability enhancement. Hence in this work, Sorting instagram hashtags all the way through mass tagging using HITS (Hyperlink-Induced Topic Search) algorithm is presented. The hashtags can sorted to several groups according to Jensen-Shannon divergence between any two hashtags. This approach provides an effective and consistent way for finding pairs of Instagram images and hashtags, which lead to representative and noise-free training sets for content-based image retrieval. The HITS algorithm is first used to rank the annotators in terms of their effectiveness in the crowd tagging task and then to identify the right hashtags per image.

City Networks of Korea: An Internet Hyperlinks Interpretation (인터넷 하이퍼링크로 본 도시 네트워크)

  • 허우긍
    • Journal of the Korean Geographical Society
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    • v.38 no.4
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    • pp.518-534
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    • 2003
  • A number of previous studies have maintained that information technologies, due to their ability to overcome distance, can nurturing an innovative class of polycentric urban configurations, i.e., network cities. The present study intends to clarify whether any network relationship has recently been emerged among Korean cities by the advancement of information technology. The analyses focused on the geography of Korean national domains (.kr domains), and the hyperlink associations among three major types of domains, namely commercial, academic, and organizational domains. The study findings altogether indicate that the advancement of global economy and information era appears to be enhancing, rather than reducing the status of primate city. Seoul dominates the entire nation, forming an enclave in the production and consumption of information. Only the domains of educational institutes show network-like relations among local centers to a certain extent. The paper concludes with a discussion on the implications of the findings for future research and ‘spatial’ policy measures.

Hypertext Networks Restructure using User Browsing Behaviors on WWW (웹 상에서 사용자 브라우징 행위를 이용한 하이퍼텍스트 네트워크 재구성)

  • 백영태;이세훈
    • Journal of the Korea Computer Industry Society
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    • v.2 no.11
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    • pp.1365-1372
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    • 2001
  • We have suggested three learning rules and implemented an experimental system that automatically restructures hypertext networks according to their user browsing behavior. The system applies link weights to the hypertext networks and updates these weights according to the learning rules. The learning rules are based on how often a particular hyperlink is being traversed and operate on strictly local information of link traversals. Changes in network structure are fed back to users by dynamic link ordering according to descending link weight. This approach is used collaborative filtering and navigation support techniques. The system has been investigation to be able to structure random hypertext networks into valid representations of their user browsing preferences in experiments.

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