Network analysis of water contamination discourse on social media platforms

HIGHLIGHTS

• What: This study examines water contamination issues using social data (n = 420.7 k) to unveil the roles and patterns from the top 10 most influential users in their respective networks determined by their reply retweet and mention networks. The aim of this study is to gain a more precise understanding of the extent and characteristics of online discourse concerning water contamination by examining communication patterns and information dissemination on social media. To resolve this gap in the literature, this study examines the fundamental characteristics of the social structure surrounding water contamination discourse, with a particular emphasis . . .
  

   

  

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