互联网空间下的城市网络格局及结构研究

Framework and structure analysis of city network in Internet space

大数据时代,互联网成为科学研究的有效工具和平台。借助百度搜索指数数据,运用复杂网络方法构建互联网空间下有向加权城市网络模型,分析互联网上的城市网络格局及复杂结构。以我国36个大城市数据为样本,实证发现该城市网络的节点出权及入权累积分布均符合指数分布,归类网络中的城市活跃类型,计算挖掘出网络中的关键城市节点以及网络的凝聚子群。从互联网新媒介视角对"互联网+"计划下城市网络结构作出了新的解析,丰富了城市复杂网络的研究,对城市的建设规划、管理具有指导意义。

In the era of big data,the Internet is becoming an efficient tool and platform to scientific research. Using the data from Baidu index platform,this paper built a direct-weighted complex city network model by applying the complex networks theory,which helped to present the framework and analyze the complexity of the network. Taking the data of 36 cities for example,the empirical study results show that the distributions of node strength follow exponential distribution both node instrength and node out-strength. Meanwhile,there was a kind of node classification according to node strength,that was the Internet attention. The significant node and cohesive subgroups were found by the Ucinet software. From the new media view of the Internet,it made a new network analysis in the Internet plus era,enriched the city complex network structure research,and would make contribution to the city construction,planning and management.