期刊文献+

湖北省微博签到活动空间差异分析——以新浪微博为例 被引量:7

The Analysis of Space Difference of Check-in Activities in Hubei Province:An Empirical Analysis of Sina Micro-blog
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摘要 选取了湖北省2014年1—11月的微博签到数据,通过对55933个POI、5820136次微博签到量进行空间统计分析发现:湖北省微博签到次数呈现出明显的空间差异,17个地区中武汉市微博签到量所占百分比高达71.19%,在湖北省中占绝对优势,其他16个地区中宜昌、襄阳、荆州三地区所占百分比为13.83%,其余13个地区仅占14.98%。在17个地级市中又以各市中心的签到量最大。将17个地级市微博签到量与各地区2014年GDP做散点图。发现GDP与签到量之间呈正相关,通过皮尔森相关系数进行验证,在0.01的显著水平下皮尔森系数为0.959,呈现出高度相关,说明微博签到量与经济发展水平关系密切。 This article based on the Check -in date of Sina Micro -blog in Hubei province from January to November in 2014. The characteristics of spatial difference of the 55933 POI and 5820136 check - in date are explored in this paper by using Spacial Analy- sis. The result shows that: 1 ) the check - in number of Sina Micro - blog presents obvious space difference, and the percentage in Wu- han city is as high as 71.19% which is dominant in Hubei province, and the percentage of Yichang, Xiangyang, Jinzhou are in total of 13.83%, and the rest of 13 areas are in total of 14.98% ;2) The center area of every city' s check - in number is biggest. By draw- ingscatter plot of weibo check - in date and regional GDP of every city, a positively correlated between GDP and check - in number was founded. The Pearson coefficient is 0. 959 at 0.01 significant level, which present a highly correlated between check - in date and the level of economic development.
出处 《测绘与空间地理信息》 2016年第10期159-162,166,共5页 Geomatics & Spatial Information Technology
关键词 湖北省 微博签到活动 空间差异 Hubei Province check - in activities of Micro - blog special difference
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