| 唐艺烜，骆培聪*，王镇宁，赵雪祥.基于百度指数的福建省城市网络体系研究[J].海南师范大学学报自科版,2020,33(1):103-109 |
| 基于百度指数的福建省城市网络体系研究 |
| Research of City Network System in Fujian Province Basedon Baidu Index |
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| DOI：10.12051/j.issn.1674-4942.2020.01.017 |
| 中文关键词: 百度指数 城市网络 网络关注度 时空特征 福建省 |
| 英文关键词: Baidu index city network network attention spatiotemporal characteristics Fujian province |
| 基金项目:国家自然科学基金项目（41871208）；福建省软科学研究项目（2016R0035）；福建省社科规划项目
（FJ2016TWB006）；福建省教育厅重点项目（JZ170286） |
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| 摘要点击次数: 463 |
| 全文下载次数: 313 |
| 中文摘要: |
| 在大数据时代背景下，利用网络关注度研究城市网络的时空特征已成为新热点。文章
利用百度指数获取2013、2018年福建省城市网络关注度，借鉴Taylor的世界城市网络研究方法，通
过对城市信息流的模拟，从城市信息流量、城市网络结构等方面对福建省城市网络进行研究。结
果表明：福建省各城市信息流量的层级分布特征较明显，2018年全省信息流总量较2013年有较大
增长，但不同城市差异显著；福建省的城市结构逐渐优化，但其结构非均衡化程度仍很高；福建省
城市空间布局受城市经济发展、政策引导、城市功能定位和互联网发展水平的影响。 |
| 英文摘要: |
| Under the background of big data era, it has become a new hotspot to use network attention to study the spatial
and temporal characteristics of urban network. In this paper, Baidu Index was used to obtain the degree of attention in Fuji⁃
an province′s urban network in 2013 and 2018. Through the simulation of urban information flow and network structure, the
Peter Taylor′s world city network research methods were used to study the urban network in Fujian province. The results
showed that the characteristics of urban network in Fujian province were obvious and changeable, the total amount of urban
information flow has increased significantly in 2018, but the growth rate of the cities was quite different with imbalance of
development as a whole. The urban spatial layout of Fujian province was affected by urban economic development, policy
guidance, urban function orientation, and internet development level. |
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