Visual representation of knowledge networks: A social network analysis of hospitality research domain

被引:108
|
作者
Hu, Clark [1 ]
Racherla, Pradeep [1 ]
机构
[1] Temple Univ, Sch Tourism & Hospitality Management, Natl Lab Tourism & eCommerce, Philadelphia, PA 19121 USA
关键词
co-authorship; hospitality research; knowledge domain; knowledge networks; social network analysis;
D O I
10.1016/j.ijhm.2007.01.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Intellectual relationships and collaboration networks are the basis for the development of a knowledge domain. The visual representation of such "knowledge networks" contributes to the overall understanding of intellectual collaborations in a particular knowledge domain. Based on the co-authorship data from recent journal publications over a period of five years. the authors applied social network analysis to explore the network structures and identify their network properties in the hospitality research domain. The analysis revealed the core and peripheral networks where the power law distribution was observed on the pattern of publishing academic papers. The overall network was further examined by nine research streams in both "global" and "contextual" views to understand a broad variety of the collaboration patterns of hospitality researchers. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:302 / 312
页数:11
相关论文
共 50 条
  • [1] Knowledge mapping of hospitality research - A visual analysis using CiteSpace
    Li, Xinjian
    Ma, Emily
    Qu, Hailin
    [J]. INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2017, 60 : 77 - 93
  • [2] Knowledge Networks of the Information Technology Management Domain: A Social Network Analysis Approach
    Khan, Gohar Feroz
    Wood, Jacob
    [J]. COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2016, 39 : 367 - 397
  • [3] Enhancing visual analysis of network traffic using a knowledge representation
    Xiao, Ling
    Gerth, John
    Hanrahan, Pat
    [J]. VAST 2006: IEEE SYMPOSIUM ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY, PROCEEDINGS, 2006, : 107 - +
  • [4] NAHR: A Visual Representation of Social Networks as Support for Art History Research
    Lamqaddam, Houda
    Aerts, Jan
    Brosens, Koenraad
    Verbert, Katrien
    [J]. NORDICHI'18: PROCEEDINGS OF THE 10TH NORDIC CONFERENCE ON HUMAN-COMPUTER INTERACTION, 2018, : 634 - 641
  • [5] Developments in Hospitality Marketing and Management: Social Network Analysis and Research Themes
    Nunkoo, Robin
    Gursoy, Dogan
    Ramkissoon, Haywantee
    [J]. JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT, 2013, 22 (03) : 269 - 288
  • [6] Social Network Analysis in Knowledge Management Research
    Wu, Bing
    Ge, Jun
    Xu, Wenxia
    [J]. ADVANCED MATERIALS AND COMPUTER SCIENCE, PTS 1-3, 2011, 474-476 : 1007 - 1011
  • [7] Visual knowledge representation of conceptual semantic networks
    Zhuhadar, Leyla
    Nasraoui, Olfa
    Wyatt, Robert
    Yang, Rong
    [J]. SOCIAL NETWORK ANALYSIS AND MINING, 2011, 1 (03) : 219 - 229
  • [8] Research on Knowledge Transfer Based on Social Network Analysis
    Liu, Yunfeng
    Gao, Feijian
    [J]. SEVENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III: UNLOCKING THE FULL POTENTIAL OF GLOBAL TECHNOLOGY, 2008, : 2344 - 2349
  • [9] Mapping the Knowledge Structure of Research on Patient Adherence: Knowledge Domain Visualization Based Co-Word Analysis and Social Network Analysis
    Zhang, Juan
    Xie, Jun
    Hou, Wanli
    Tu, Xiaochen
    Xu, Jing
    Song, Fujian
    Wang, Zhihong
    Lu, Zuxun
    [J]. PLOS ONE, 2012, 7 (04):
  • [10] Knowledge domain and emerging trends in visual hallucination research: A scientometric analysis
    Zhong, Min
    Wu, Zhuang
    Jiang, Xu
    Shen, Bo
    Zhu, Jun
    Zhang, Li
    [J]. WORLD JOURNAL OF PSYCHIATRY, 2021, 11 (08): : 491 - 506