空间社会网络研究:文献计量分析。

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational urban science Pub Date : 2022-01-01 DOI:10.1007/s43762-022-00045-y
Ling Wu, Qiong Peng, Michael Lemke, Tao Hu, Xi Gong
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引用次数: 3

摘要

在这个城市化和流动的世界中,人们越来越关注精细尺度的人类动态,在空间社会网络研究领域出现了一种不安的、动态的智力景观。这种急剧增长的文献的测量参数包括科学产出、领域类别、主要期刊、国家、机构和频繁使用的关键词。该领域研究的特点是相关学术论文的快速发展和机构之间和跨机构的合作日益增加。《经济地理杂志》、《美国地理学家协会年鉴》和《城市研究》按平均引用次数分别排名第一、第二和第三。美国、英国和中国是该领域发表研究最多的国家。在非英语母语国家(如法国、意大利和荷兰)发表的国际合作研究数量高于英语母语国家。武汉大学、牛津大学和哈佛大学是该领域发表论文最多的大学。“推特”、“大数据”、“网络”、“空间分析”和“社会资本”是过去20年的主要关键词。与此同时,“社交媒体”、“Twitter”、“大数据”、“地理”、“中国”、“人类移动性”、“机器学习”、“GIS”、“基于位置的社交网络”、“聚类”、“数据挖掘”、“基于位置的服务”等关键词也在同一时间段内受到越来越多的关注,预示着未来的研究趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Spatial social network research: a bibliometric analysis.

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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