期刊
SOCIAL NETWORKS
卷 34, 期 1, 页码 73-81出版社
ELSEVIER
DOI: 10.1016/j.socnet.2011.05.006
关键词
Social networks; Distance; Proximity; Nation-states; Language; Air travel; Twitter
The paper examines the influence of geographic distance, national boundaries, language, and frequency of air travel on the formation of social ties on Twitter, a popular micro-blogging website. Based on a large sample of publicly available Twitter data, our study shows that a substantial share of ties lies within the same metropolitan region, and that between regional clusters, distance, national borders and language differences all predict Twitter ties. We find that the frequency of airline flights between the two parties is the best predictor of Twitter ties. This highlights the importance of looking at pre-existing ties between places and people. (C) 2011 Elsevier B.V. All rights reserved.
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