Figure 4: Interactive network visualization tool. A detail of the network of retweets and mention for a hashtag commonly linked to “Ice Bucket Challenge,” a popular Internet phenomenon from 2014. The size of a node is proportional to its strength (weighted degree). The detail shows the patterns of mention and information broadcasting occurring between celebrities, as the viral challenge was taking off.

OSoMe: the IUNI observatory on social media


PeerJ Computer Science 2, (2016) p. e87


  Title                    = {OSoMe: the IUNI observatory on social media},
  Author                   = {Davis, Clayton A. and Ciampaglia, Giovanni Luca and Aiello, Luca Maria and Chung, Keychul and Conover, Michael D. and Ferrara, Emilio and Flammini, Alessandro and Fox, Geoffrey C. and Gao, Xiaoming and Gon{\c{c}}alves, Bruno and Grabowicz, Przemyslaw A. and Hong, Kibeom and Hui, Pik-Mai and McCaulay, Scott and McKelvey, Karissa and Meiss, Mark R. and Patil, Snehal and Peli Kankanamalage, Chathuri and Pentchev, Valentin and Qiu, Judy and Ratkiewicz, Jacob and Rudnick, Alex and Serrette, Benjamin and Shiralkar, Prashant and Varol, Onur and Weng, Lilian and Wu, Tak-Lon and Younge, Andrew J. and Menczer, Filippo},
  Journal                  = {PeerJ Computer Science},
  Year                     = {2016},

  Month                    = oct,
  Pages                    = {e87},
  Volume                   = {2},

  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 \textit{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, is the result of a large, six-year collaborative effort coordinated by the Indiana University Network Science Institute.},
  Doi                      = {10.7717/peerj-cs.87},
  ISSN                     = {2376-5992}