PeerJ Computer Science (Oct 2016)
OSoMe: the IUNI observatory on social media
- Clayton A. Davis,
- Giovanni Luca Ciampaglia,
- Luca Maria Aiello,
- Keychul Chung,
- Michael D. Conover,
- Emilio Ferrara,
- Alessandro Flammini,
- Geoffrey C. Fox,
- Xiaoming Gao,
- Bruno Gonçalves,
- Przemyslaw A. Grabowicz,
- Kibeom Hong,
- Pik-Mai Hui,
- Scott McCaulay,
- Karissa McKelvey,
- Mark R. Meiss,
- Snehal Patil,
- Chathuri Peli Kankanamalage,
- Valentin Pentchev,
- Judy Qiu,
- Jacob Ratkiewicz,
- Alex Rudnick,
- Benjamin Serrette,
- Prashant Shiralkar,
- Onur Varol,
- Lilian Weng,
- Tak-Lon Wu,
- Andrew J. Younge,
- Filippo Menczer
Affiliations
- Clayton A. Davis
- Center for Complex Networks and Systems Research, Indiana University, Bloomington, United States
- Giovanni Luca Ciampaglia
- Center for Complex Networks and Systems Research, Indiana University, Bloomington, United States
- Luca Maria Aiello
- Bell Labs, London, United Kingdom
- Keychul Chung
- School of Informatics and Computing, Indiana University, Bloomington, United States
- Michael D. Conover
- LinkedIn Inc., Mountain View, CA, United States
- Emilio Ferrara
- Information Sciences Institute, University of Southern California, Marina Del Rey, CA, United States
- Alessandro Flammini
- Center for Complex Networks and Systems Research, Indiana University, Bloomington, United States
- Geoffrey C. Fox
- School of Informatics and Computing, Indiana University, Bloomington, United States
- Xiaoming Gao
- Facebook Inc., Boston, MA, United States
- Bruno Gonçalves
- Center for Data Science, New York University, New York, NY, United States
- Przemyslaw A. Grabowicz
- Max Planck Institute for Software Systems, Saarbrücken, Germany
- Kibeom Hong
- School of Informatics and Computing, Indiana University, Bloomington, United States
- Pik-Mai Hui
- Center for Complex Networks and Systems Research, Indiana University, Bloomington, United States
- Scott McCaulay
- Network Science Institute, Indiana University, Bloomington, United States
- Karissa McKelvey
- US Open Data, Oakland, CA, United States
- Mark R. Meiss
- Google Inc., Mountain View, CA, United States
- Snehal Patil
- Yahoo Inc., Sunnyvale, CA, United States
- Chathuri Peli Kankanamalage
- Network Science Institute, Indiana University, Bloomington, United States
- Valentin Pentchev
- Network Science Institute, Indiana University, Bloomington, United States
- Judy Qiu
- School of Informatics and Computing, Indiana University, Bloomington, United States
- Jacob Ratkiewicz
- Google Inc., Mountain View, CA, United States
- Alex Rudnick
- Google Inc., Mountain View, CA, United States
- Benjamin Serrette
- Network Science Institute, Indiana University, Bloomington, United States
- Prashant Shiralkar
- Center for Complex Networks and Systems Research, Indiana University, Bloomington, United States
- Onur Varol
- Center for Complex Networks and Systems Research, Indiana University, Bloomington, United States
- Lilian Weng
- Affirm Inc., San Francisco, CA, United States
- Tak-Lon Wu
- Amazon Inc., Seattle, WA, United States
- Andrew J. Younge
- School of Informatics and Computing, Indiana University, Bloomington, United States
- Filippo Menczer
- Center for Complex Networks and Systems Research, Indiana University, Bloomington, United States
- DOI
- https://doi.org/10.7717/peerj-cs.87
- Journal volume & issue
-
Vol. 2
p. e87
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.
Keywords
