TY - GEN
T1 - GRAM
T2 - 14th International Conference on Advanced Visual Interfaces, AVI 2018
AU - Burd, Randy
AU - Espy, Kimberly Andrews
AU - Hossain, Md Iqbal
AU - Kobourov, Stephen
AU - Merchant, Nirav
AU - Purchase, Helen
N1 - Publisher Copyright: © 2018 Association for Computing Machinery.
PY - 2018/5/29
Y1 - 2018/5/29
N2 - The Global Research Activity Map (GRAM) is an interactive web-based system for visualizing and analyzing worldwide scholarship activity as represented by research topics. The underlying data for GRAM is obtained from Google Scholar academic research profiles and is used to create a weighted topic graph. Nodes correspond to self-reported research topics and edges indicate co-occurring topics in the profiles. The GRAM system supports map-based interactive features, including semantic zooming, panning, and searching. Map overlays can be used to compare human resource investment, displayed as the relative number of active researchers in particular topic areas, as well scholarly output in terms of citations and normalized citation counts. Evaluation of the GRAM system, with the help of university research management stakeholders, reveals interesting patterns in research investment and output for universities across the world (USA, Europe, Asia) and for different types of universities. While some of these patterns are expected, others are surprising. Overall, GRAM can be a useful tool to visualize human resource investment and research productivity in comparison to peers at a local, regional and global scale. Such information is needed by university administrators to identify institutional strengths and weaknesses and to make strategic data-driven decisions.
AB - The Global Research Activity Map (GRAM) is an interactive web-based system for visualizing and analyzing worldwide scholarship activity as represented by research topics. The underlying data for GRAM is obtained from Google Scholar academic research profiles and is used to create a weighted topic graph. Nodes correspond to self-reported research topics and edges indicate co-occurring topics in the profiles. The GRAM system supports map-based interactive features, including semantic zooming, panning, and searching. Map overlays can be used to compare human resource investment, displayed as the relative number of active researchers in particular topic areas, as well scholarly output in terms of citations and normalized citation counts. Evaluation of the GRAM system, with the help of university research management stakeholders, reveals interesting patterns in research investment and output for universities across the world (USA, Europe, Asia) and for different types of universities. While some of these patterns are expected, others are surprising. Overall, GRAM can be a useful tool to visualize human resource investment and research productivity in comparison to peers at a local, regional and global scale. Such information is needed by university administrators to identify institutional strengths and weaknesses and to make strategic data-driven decisions.
KW - Interactive visualization system
KW - Knowledge discovery
KW - Topics map
UR - http://www.scopus.com/inward/record.url?scp=85048898723&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048898723&partnerID=8YFLogxK
U2 - 10.1145/3206505.3206531
DO - 10.1145/3206505.3206531
M3 - Conference contribution
T3 - Proceedings of the Workshop on Advanced Visual Interfaces AVI
BT - AVI 2018 - Proceedings of the 2018 International Conference on Advanced Visual Interfaces
A2 - Catarci, Tiziana
A2 - Marrella, Andrea
A2 - Leotta, Francesco
A2 - Mecella, Massimo
PB - Association for Computing Machinery
Y2 - 29 May 2018 through 1 June 2018
ER -