社交媒体数据的获取与处理分析研究
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摘要
带有地理空间信息的社交媒体数据是由众多专业和非专业用户主观发布并通过社交媒体向公众或组织提供的一种开放地理空间数据。为了高效地获取签到数据以及保证签到数据的正确性、可靠性、完整性,满足数据挖掘算法的需要,本文以微博签到数据为例,提出了获取数据的关键技术,包括调用微博API的方法、研究区域格网化的获取方法,提高了数据的获取效率。并且针对获取的原始数据提出了对其处理的方案并对获取的数据结果进行了相关的统计描述。
Social media data with geospatial information is an open geospatial data provided by many professional and non-professional users and through social media to the public or organizations. In order to efficiently obtain check data and ensure the correctness of the sign in the data,the reliability,integrity,and meet the needs of data mining algorithm. The paper which is based on the Weibo signin data as an example proposed the key technology to get the data,including calling Weibo API,the method of research of regional grid handling method to improve the efficiency of data access,the raw data is proposed for the treatment scheme and the data results of relevant statistical description.
Social media data with geospatial information is an open geospatial data provided by many professional and non-professional users and through social media to the public or organizations. In order to efficiently obtain check data and ensure the correctness of the sign in the data,the reliability,integrity,and meet the needs of data mining algorithm. The paper which is based on the Weibo signin data as an example proposed the key technology to get the data,including calling Weibo API,the method of research of regional grid handling method to improve the efficiency of data access,the raw data is proposed for the treatment scheme and the data results of relevant statistical description.
引文
[1]王晓聪.基于位置的社交网络用户签到行为研究[D].大连:大连海事大学,2012.
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[3]薛涛,戴林琳.基于大数据的城市居民网络签到活动与经济服务业空间关系实证分析[J].商业经济研究,2015(24):136-137.
[4] Bullas J. 33 Social Medis Facts and Statics You ShouldKnow in 2015[EB/OL].https://www.linkedin.com/pulse/33-social-media-facts-statistics-you-should-know-2015-jeff-bullas? Trk=tod-posts-post1-psum,2015-4-8.
[5]马海欣.微博数据获取与传播行为建模[D].上海:华东师范大学,2014.
[6]唐佳,李君轶.基于微博大数据的西安国内游客日内时间分布模式研究[J].人文地理,2016(3):151-160.
[7]王波,甄峰,张浩.基于签到数据的城市活动时空间动态变化及区划研究[J].地理科学,2015(2):151-160.
[2]梁年,何宗宜,苗静.微博数据挖掘的用户行为时空特征分析[J].测绘科学,2016,41(3):34-39.
[3]薛涛,戴林琳.基于大数据的城市居民网络签到活动与经济服务业空间关系实证分析[J].商业经济研究,2015(24):136-137.
[4] Bullas J. 33 Social Medis Facts and Statics You ShouldKnow in 2015[EB/OL].https://www.linkedin.com/pulse/33-social-media-facts-statistics-you-should-know-2015-jeff-bullas? Trk=tod-posts-post1-psum,2015-4-8.
[5]马海欣.微博数据获取与传播行为建模[D].上海:华东师范大学,2014.
[6]唐佳,李君轶.基于微博大数据的西安国内游客日内时间分布模式研究[J].人文地理,2016(3):151-160.
[7]王波,甄峰,张浩.基于签到数据的城市活动时空间动态变化及区划研究[J].地理科学,2015(2):151-160.