TY - JOUR
T1 - Exploring Interpersonal Relationships in Historical Voting Records
AU - Dias Cantareira, Gabriel
AU - Xing, Yiwen
AU - Cole, Nicholas
AU - Borgo, Rita
AU - Abdul-Rahman, Alfie
N1 - Funding Information:
This work was supported in part by the Engineering and Physical Sciences Research Council (EP/V028871/1) and the King's-China Scholarship Council PhD Scholarship programme (K-CSC).
Funding Information:
This work was supported in part by the Engineering and Physical Sciences Research Council (EP/V028871/1) and the King's‐China Scholarship Council PhD Scholarship programme (K‐CSC).
Publisher Copyright:
© 2023 The Authors. Computer Graphics Forum published by Eurographics - The European Association for Computer Graphics and John Wiley & Sons Ltd.
PY - 2023/6
Y1 - 2023/6
N2 - Historical records from democratic processes and negotiation of constitutional texts are a complex type of data to navigate due to the many different elements that are constantly interacting with one another: people, timelines, different proposed documents, changes to such documents, and voting to approve or reject those changes. In particular, voting records can offer various insights about relationships between people of note in that historical context, such as alliances that can form and dissolve over time and people with unusual behavior. In this paper, we present a toolset developed to aid users in exploring relationships in voting records from a particular domain of constitutional conventions. The toolset consists of two elements: a dataset visualizer, which shows the entire timeline of a convention and allows users to investigate relationships at different moments in time via dimensionality reduction, and a person visualizer, which shows details of a given person’s activity in that convention to aid in understanding the behavior observed in the dataset visualizer. We discuss our design choices and how each tool in those elements works towards our goals, and how they were perceived in an evaluation conducted with domain experts.
AB - Historical records from democratic processes and negotiation of constitutional texts are a complex type of data to navigate due to the many different elements that are constantly interacting with one another: people, timelines, different proposed documents, changes to such documents, and voting to approve or reject those changes. In particular, voting records can offer various insights about relationships between people of note in that historical context, such as alliances that can form and dissolve over time and people with unusual behavior. In this paper, we present a toolset developed to aid users in exploring relationships in voting records from a particular domain of constitutional conventions. The toolset consists of two elements: a dataset visualizer, which shows the entire timeline of a convention and allows users to investigate relationships at different moments in time via dimensionality reduction, and a person visualizer, which shows details of a given person’s activity in that convention to aid in understanding the behavior observed in the dataset visualizer. We discuss our design choices and how each tool in those elements works towards our goals, and how they were perceived in an evaluation conducted with domain experts.
UR - http://www.scopus.com/inward/record.url?scp=85163650458&partnerID=8YFLogxK
U2 - 10.1111/cgf.14824
DO - 10.1111/cgf.14824
M3 - Article
SN - 0167-7055
VL - 42
SP - 211
EP - 221
JO - COMPUTER GRAPHICS FORUM
JF - COMPUTER GRAPHICS FORUM
IS - 3
ER -