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我国旅游网站的网络结构研究——基于社会网络分析法
引用本文:廉同辉,余菜花,宗乾进. 我国旅游网站的网络结构研究——基于社会网络分析法[J]. 旅游科学, 2012, 26(6): 80-88
作者姓名:廉同辉  余菜花  宗乾进
作者单位:1. 安徽工程大学管理工程学院,安徽芜湖,241000
2. 东南大学经济管理学院,江苏南京,211189
3. 南京大学信息管理学院,江苏南京,210093
基金项目:安徽省教育厅人文社科研究项目"安徽省旅游网站发展战略研究",教育部博士研究生学术新人奖
摘    要:本文选择Google为检索工具确定154个旅游网站为研究对象,使用SocSciBot3收集上述154个网站的链接数据,采用PAJEK绘制我国旅游网站的网络结构图,并用UCINET社会网络分析软件,从网络密度、中心度、凝聚子群以及核心-边缘结构等角度对我国旅游网站的网络结构进行研究。通过研究发现我国旅游网站网络密度较低且平均距离较小、部分旅游网站的中心度较低、凝聚子群的规模不大且密度偏低、处于核心位置的网站较少等,为此建议在加强旅游网站自身建设的同时,多与其他旅游网站进行合作,加强链接,特别是友情链接的建立。

关 键 词:社会网络  旅游网站  网络结构

A Study on Net-Work Structure of China' s Tourism Website:Based on a Social Network Analysis
LIAN Tonghui , YU Caihua , ZONG Qianjin. A Study on Net-Work Structure of China' s Tourism Website:Based on a Social Network Analysis[J]. Tourism Science, 2012, 26(6): 80-88
Authors:LIAN Tonghui    YU Caihua    ZONG Qianjin
Affiliation:1. School Management Engineeing, Anhui Polytechnic University, Wuhu 241000, China; 2. School of Economics and Management, Southeast University, Nanjing 211189, China ; 3. School of Information Management, Nanjing University, Nanjing 210093, China)
Abstract:This paper determined 154 tourism websites as objects by Google engine, collected the link data of these websites through SocSciBot3, drew the network structure of China' s tourism websites by using PAJEK, and studied China' s tourism websites by using Social Network Analysis from density, centrality, sub-group and core-periphery aspects. It was found that the density of China' s tourism website is relatively low and the average distance is small; the centrality of some of the sites is lower; the scale of cohesive subgroup isn' t large and its density is too low, and the quantity the websites at the core are small. Finally the paper suggests that China' s tourism websites cooperate with more other websites by enhancing access, especially friendly linking while doing self-strengthen.
Keywords:social network analysis  tourism website  net-work structure
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