@InProceedings{SilvaSpriFrei:2018:ViRoCa,
               author = "Silva, Rodrigo Nunes Moni da and Spritzer, Andre and Freitas, 
                         Carla Dal Sasso",
          affiliation = "{Federal University of Rio Grande do Sul} and {Federal University 
                         of Rio Grande do Sul} and {Federal University of Rio Grande do 
                         Sul}",
                title = "Visualization of Roll Call Data for Supporting Analyses of 
                         Political Profiles",
            booktitle = "Proceedings...",
                 year = "2018",
               editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and 
                         Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and 
                         Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez, 
                         Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de 
                         and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa, 
                         Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus, 
                         Klaus de and Scheer, Sergio",
         organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Data Visualization, Visual Analytics, Roll Calls Analysis, 
                         Political Data Visualization.",
             abstract = "In this paper, we propose a web-based application where the user 
                         can instantiate multiple, coordinated panels for exploring data 
                         concerning the votes of representatives in Brazil's lower 
                         legislative house (the Chamber of Deputies). Open data about roll 
                         calls made available by the Chamber allowed us to build a set of 
                         interactive visualizations to let users explore deputies' votes 
                         and build an understanding of their political profiles. Based on 
                         the set of roll call voting results from 1991 to 2016, our 
                         application displays the political behaviour of parties in a 
                         timeline from which users can select periods and instantiate 
                         panels showing the political spectrum of deputies using different 
                         methods of dimensionality reduction. Deputies can be separated in 
                         clusters based on their position in the political spectrum, and 
                         other panels can be instantiated showing details about each 
                         cluster. Users can select parts of the timeline and simultaneously 
                         analyze the behavior of parties and one or more deputies. Roll 
                         calls are represented as a combination of heatmaps and histograms. 
                         We illustrate the use of the different visualization techniques in 
                         a case study on party cohesiveness over time.",
  conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
      conference-year = "29 Oct.-1 Nov. 2018",
                  doi = "10.1109/SIBGRAPI.2018.00026",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2018.00026",
             language = "en",
                  ibi = "8JMKD3MGPAW/3RPBGA2",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3RPBGA2",
           targetfile = "Paper ID 76.pdf",
        urlaccessdate = "2024, Apr. 28"
}