OSoMe: The IUNI observatory on social media

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1 Center for Complex Networks and Systems Research, Indiana University, Bloomington, United States
2 School of Informatics and Computing, Indiana University, Bloomington, United States
3 Network Science Institute, Indiana University, Bloomington, United States
4 Yahoo Inc., London, United Kingdom
5 LinkedIn Inc., Mountain View, CA, United States
6 Information Sciences Institute, University of Southern California, Marina Del Rey, CA, United States
7 Facebook Inc., Boston, MA, United States
8 Center for Data Science, New York University, New York City, New York, United States
9 Max Planck Institute for Software Systems, Saarbrücken, Germany
10 U.S. Open Data, Oakland, CA, United States
11 Google Inc., Mountain View, CA, United States
12 Yahoo Inc., Sunnyvale, CA, United States
13 Affirm Inc., San Francisco, CA, United States
14 Amazon Inc., Seattle, WA, United States
DOI
10.7287/peerj.preprints.2008v1
Published
Accepted
Subject Areas
Data Science, Network Science and Online Social Networks, Social Computing, World Wide Web and Web Science
Keywords
Social media, Observatory, Twitter, Web Science, Network Science, Meme diffusion, Computational Social Science, Big data, API, OSoMe
Copyright
© 2016 Davis et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Davis CA, Ciampaglia GL, Aiello LM, Chung K, Conover MD, Ferrara E, Flammini A, Fox GC, Gao X, Gonçalves B, Grabowicz PA, Hong K, Hui P, McCaulay S, McKelvey K, Meiss MR, Patil S, Peli Kankanamalage C, Pentchev V, Qiu J, Ratkiewicz J, Rudnick A, Serrette B, Shiralkar P, Varol O, Weng L, Wu T, Younge AJ, Menczer F. 2016. OSoMe: The IUNI observatory on social media. PeerJ Preprints 4:e2008v1

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.

Author Comment

This is a preprint submission to PeerJ Preprints.