Studying Facebook via data extraction: the Netvizz application

Authors
Publication date 2013
Book title Proceedings of the 5th Annual ACM Web Science Conference, 2013
Book subtitle Paris, France : WebSci '13
ISBN (electronic)
  • 9781450318891
Event ACM Web Science 2013 (WebSci'13)
Pages (from-to) 346-355
Publisher New York, NY: Association for Computing Machinery
Organisations
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR) - Amsterdam School for Cultural Analysis (ASCA)
Abstract
This paper describes Netvizz, a data collection and extraction application that allows researchers to export data in standard file formats from different sections of the Facebook social networking service. Friendship networks, groups, and pages can thus be analyzed quantitatively and qualitatively with regards to demographical, post-demographical, and relational characteristics. The paper provides an overview over analytical directions opened up by the data made available, discusses platform specific aspects of data extraction via the official Application Programming Interface, and briefly engages the difficult ethical considerations attached to this type of research.
Document type Conference contribution
Language English
Published at https://doi.org/10.1145/2464464.2464475
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