期刊信息

  • 刊名: 河北师范大学学报(自然科学版)Journal of Hebei Normal University (Natural Science)
  • 主办: 河北师范大学
  • ISSN: 1000-5854
  • CN: 13-1061/N
  • 中国科技核心期刊
  • 中国期刊方阵入选期刊
  • 中国高校优秀科技期刊
  • 华北优秀期刊
  • 河北省优秀科技期刊

旅游网站信息流距离衰减的逆曲线拟合及其形式分析

  • 1. 河北师范大学旅游系, 河北石家庄050024;
    2. 河北青年管理干部学院, 河北石家庄050031;
    3. 河北师范大学资源与环境科学学院, 河北石家庄050024
  • DOI:

Inverse Curve Fitting of Information Flow Distance Attenuation in the Tourism Website and the Analysis of Its Form

摘要/Abstract

摘要:

通过百度、雅虎等搜索引擎获得了10个样本旅游网站日均访问量的空间分布数据,以此作为旅游网站信息流距离衰减的研究对象.借助SPSS13.0软件,利用Curve Estimation功能模块,对样本旅游网站日均访问量与实际距离两个变量进行空间关系的曲线拟合.研究发现:1)逆曲线模型拟合效果较好.2)10个样本旅游网站间逆曲线模型判定系数RR2的差异明显,表明旅游网站功能的不同造成了信息流距离衰减的分异,旅游网站区域因素对其分异性也有一定影响.3)旅游网站信息流距离衰减性呈陡降—缓慢递减形式,呈现直角性、波动性、长尾性特征,直角性解释为旅游网站访问者地方性倾向,波动性是由地区发达的经济和完善的网络基础设施导致的,长尾性印证了信息流低成本基础上的距离均一性.

Abstract:

The special distribution data of average daily visits numbers and the source of website function in the 10 sample tourism websites are obtained from the search engines like Baidu,Yahoo,etc.Taking all the above as research subject of the information flow distance att enuation,using curve estimation in SPSS13.0,an inverse curve fit between average daily visits numbers in tourism website and actual distance is obtained.This research shows:1)Inverse curve model has a better fitting.2)The significant differences of the determination coefficient R and R2 of inverse curve model among 10 samples tourism websit es indicate that the different functions of tourism website result in differentiation in information flow distance at tenuation,and tourism website regional factors also have some impact on it.3)The information flow distance at tenuation in tourism website follows the form of steep decrease-slow decrease,and shows righ-tangled,fluctuating and long tail.The righ-tangled trait explains the regional tendency of the tourism website visitors.The fluct uating trait is caused by developed economy and improved net work infrastructure.The long tail trait confirms the distance homogeneity based on the low-cost of information flow.