Trends

The trends tool provides a line graph that allows you to analyze the volume of tweets with a given hashtag over a given period of time. By submitting multiple queries, you can compare various hashtags against each other on the same graph.

The data provided is not a count, but a percentage relative to a 10% sample of Twitter data per day.

If you find these tools useful, please cite the following 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 Computer Science 2:e87 https://doi.org/10.7717/peerj-cs.87
BibTeX:

@Article{Davis2016,
  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},
  Pages                    = {e87},
  Volume                   = {2},
  Doi                      = {10.7717/peerj-cs.87}
}

Trends

Query Tips