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OSoMe: the IUNI observatory on social media

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Author Davis Clayton A., Ciampaglia Giovanni Luca, Aiello Luca Maria, Chung Keychul, Conover Michael D., Ferrara Emilio, Flammini Alessandro, Fox Geoffrey C., Gao Xiaoming, Gonçalves Bruno, Grabowicz Przemyslaw A., Hong Kibeom, Hui Pik-Mai, McCaulay Scott, McKelvey Karissa, Meiss Mark R., Patil Snehal, Peli Kankanamalage Chathuri, Pentchev Valentin, Qiu Judy, Ratkiewicz Jacob, Rudnick Alex, Serrette Benjamin, Shiralkar Prashant, et al. ,
Project Production and consumption of information in large-scale social media
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Original article (peer-reviewed)

Journal PeerJ Computer Science
Volume (Issue) 2
Page(s) e87 - e87
Title of proceedings PeerJ Computer Science
DOI 10.7717/peerj-cs.87

Open Access

URL http://doi.org/10.7717/peerj-cs.87
Type of Open Access Publisher (Gold Open Access)

Abstract

The study of social phenomena is becoming increasingly reliant on big data from online social networks. Broad access to social media data, however, requires software development skills that not all researchers possess. Here we present the IUNI Observatory on Social Media , an open analytics platform designed to facilitate computational social science. The system leverages a historical, ongoing collection of over 70 billion public messages from Twitter. We illustrate a number of interactive open-source tools to retrieve, visualize, and analyze derived data from this collection. The Observatory, now available at osome.iuni.iu.edu , is the result of a large, six-year collaborative effort coordinated by the Indiana University Network Science Institute.
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