Paper Info
Title
OSoMe: The IUNI observatory on social media.
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.
Year
DOI
Venue
2016
10.7717/peerj-cs.87
PEERJ COMPUTER SCIENCE
Keywords
DocType
Volume
Social media,Observatory,Twitter,Web science,Network science,Meme diffusion,Computational social science,Big data,API,OSoMe
Journal
4
ISSN
Citations 
PageRank 
2376-5992
4
0.41
References 
Authors
33
29
Name
Order
Citations
PageRank
Clayton Davis133111.62
Giovanni Luca Ciampaglia216911.73
Luca Maria Aiello371344.77
Keychul Chung440.41
Michael Conover578342.50
Emilio Ferrara6169292.13
Alessandro Flammini7170594.69
Geoffrey Fox84070575.38
Xiaoming Gao9135.08
Bruno Gonçalves1097356.88
Przemyslaw A. Grabowicz11777.87
Kibeom Hong1242.44
Pik-Mai Hui13344.11
Scott McCaulay1440.41
Karissa McKelvey15766.03
Mark R. Meiss16524.01
Snehal Patil1721515.29
Chathuri Peli Kankanamalage1840.41
Valentin Pentchev1941.08
Judy Qiu2074343.25
Jacob Ratkiewicz2183651.96
Alex Rudnick22121.49
Benjamin Serrette2340.41
Prashant Shiralkar24795.94
Onur Varol2545919.42
Lilian Weng2627211.70
Tak-Lon Wu2740.41
Andrew J. Younge28412.43
Filippo Menczer293874268.67