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Census of Twitter Users: Scraping and Describing the National Network of South Korea

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Census of Twitter Users: Scraping and Describing the National Network of South Korea
 
Identifier https://doi.org/10.7910/DVN/9GRCYU
 
Creator Guan, Lu
 
Publisher Harvard Dataverse
 
Description Population-level national networks on social media are precious and essential for network science and behavioural science. This study proposes a data collection strategy for scraping online social networks at the population level, and thereby serving as a “ground truth” for the validation of both ego-centric and socio-centric data collection approaches. We proposed a set of validation approaches to evaluate the validity of our approach. Finally, we re-examined classical network and communication propositions (e.g., 80/20 rule, six degrees of separation) on the national network. Our proposed strategy would largely flourish the data collection pool of population-level social networks and further develop the research of network analysis in digital media environment.
 
Subject Computer and Information Science
Social Sciences
 
Contributor Guan, Lu