Geography of Twitter networks |
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Authors: | Yuri Takhteyev Anatoliy Gruzd Barry Wellman |
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Institution: | 1. University of Toronto, Faculty of Information, 140 St. George Street, Toronto, ON M5S 3G6, Canada;2. Dalhousie University, Canada;3. University of Toronto, Canada |
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Abstract: | 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. |
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Keywords: | Social networks Distance Proximity Nation-states Language Air travel Twitter |
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