北京大学学报(自然科学版)

旅游目的地虚拟网络结构特征研究---以黄山市为例

张毅1,曹晶晶2,3,齐莉娜4,吴必虎4   

  1. 1. 北京大学遥感与地理信息研究所, 北京 100871; 2. 北方民族大学管理学院旅游系, 银川 750021; 3. School of Hospitality and Tourism Management, University of Surrey, Guildford, Surrey GU2 7XH; 4. 北京大学旅游研究与规划中心, 北京 100871;
  • 收稿日期:2012-09-11 出版日期:2013-11-20 发布日期:2013-11-20

Research on Structural Characteristic of Destination’s Virtual Network: The City of Huangshan as a Case Study

ZHANG Yi1, CAO Jingjing2,3, QI Lina4, WU Bihu4   

  1. 1. Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871; 2. Department of Tourism, School of Management, Beifang University of Nationalities, Yinchuan 750021; 3. School of Hospitality and Tourism Management, University of Surrey, Guildford, Surrey GU2 7XH; 4. Center for Recreation and Tourism Research, Peking University, Beijing 100871;
  • Received:2012-09-11 Online:2013-11-20 Published:2013-11-20

摘要: 以黄山市为案例, 采用复杂网络理论和方法研究分析目的地虚拟网络的结构特征。结果显示该网络是具有小世界特征的稀疏网络, 其度分布符合幂律分布且幂指数位于1与2之间, 其节点倾向于链接不同类型的节点, 并且节点之间的距离和度值对节点互联的影响较弱。将黄山网络与随机网络、万维网以及其他旅游虚拟网络进行对比分析, 探讨目的地虚拟网络和现实网络之间的关系, 认为虚拟网络不仅只是信息网路, 也是社会网络, 它是现实网络在虚拟空间中的映射。在这个意义下, 目的地虚拟网络的结构特征反映了其现实网络的特征。

关键词: 旅游网络, 万维网, 网络科学, 复杂网络

Abstract: Taking the destination of Huangshan as a case study, its virtual network is examined to explore the structural characteristics based on complex theory. The results show that it is a sparse network with small world effect; its degree distribution follows power law with exponents between 1 and 2; its nodes tend to link the other nodes with different types, and the interconnection of the nodes is not influenced by distance and degree. Huangshan tourism network is compared with random network, WWW and other tourism web networks for exploring the relationship between virtual and real tourism networks. The authors argue that the network of tourism websites is not only an information network but also a social network and it can be seen as a close representation of its real network in the web space. In this sense, the structural characteristics of the web graph of a destination directly reflect the features of its real network.

Key words: tourism network, WWW, network science, complex network

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