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Geographical fragmentation of the global network of Twitter communications.

Leila HedayatifarAlfredo J MoralesYaneer Bar-Yam
Published in: Chaos (Woodbury, N.Y.) (2021)
Understanding the geography of society represents a challenge for social and economic sciences. The recent availability of data from social media enables the observation of societies at a global scale. In this paper, we study the geographical structure of the Twitter communication network at the global scale. We find a complex structure where self-organized patches with clear cultural, historical, and administrative boundaries are manifested and first-world economies centralize information flows. These patches unveil world regions that are socially closer to each other with direct implications for processes of collective learning and identity creation.
Keyphrases
  • social media
  • health information
  • mental health
  • big data
  • deep learning
  • network analysis