Spatial social network research: a bibliometric analysis

被引:0
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作者
Ling Wu
Qiong Peng
Michael Lemke
Tao Hu
Xi Gong
机构
[1] Texas A&M University,Texas Research Data Center
[2] Northeastern University,Department of Computer Science
[3] University of Houston-Downtown,Department of Social Sciences
[4] Oklahoma State University,Department of Geography
[5] University of New Mexico,Department of Geography and Environmental Studies
关键词
Social network; Social media; Geography;
D O I
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学科分类号
摘要
A restless and dynamic intellectual landscape has taken hold in the field of spatial social network studies, given the increasingly attention towards fine-scale human dynamics in this urbanizing and mobile world. The measuring parameters of such dramatic growth of the literature include scientific outputs, domain categories, major journals, countries, institutions, and frequently used keywords. The research in the field has been characterized by fast development of relevant scholarly articles and growing collaboration among and across institutions. The Journal of Economic Geography, Annals of the Association of American Geographers, and Urban Studies ranked first, second, and third, respectively, according to average citations. The United States, United Kingdom, and China were the countries that yielded the most published studies in the field. The number of international collaborative studies published in non-native English-speaking countries (such as France, Italy, and the Netherlands) were higher than native English-speaking countries. Wuhan University, the University of Oxford, and Harvard University were the universities that published the most in the field. “Twitter”, “big data”, “networks”, “spatial analysis”, and “social capital” have been the major keywords over the past 20 years. At the same time, the keywords such as “social media”, “Twitter”, “big data”, “geography”, “China”, “human mobility”, “machine learning”, “GIS”, “location-based social networks”, “clustering”, “data mining”, and “location-based services” have attracted increasing attention in that same time frame, indicating the future research trends.
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