Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/3370272.3370306dlproceedingsArticle/Chapter ViewAbstractPublication PagescasconConference Proceedingsconference-collections
research-article

Analyzing and visualizing the canadian research landscape

Published: 04 November 2019 Publication History

Abstract

Research evaluation is an important activity in the overall context of scholarly work, for researchers' career advancement, publication and proposal adjudication, universities' strategic investments, and funding agencies' planning. In this paper, we describe a system that uses state-of-the-art text-analysis methods to analyze and visualize the grant dataset, recently made available by NSERC to gain insights around the science-and-technology research in Canada, which we believe can inform the above processes.

References

[1]
Steven Bird, Ewan Klein, and Edward Loper. 2009. Natural language processing with Python: analyzing text with the natural language toolkit. O'Reilly Media, Inc.
[2]
Ricardo JGB Campello, Davoud Moulavi, and Jörg Sander. 2013. Density-based clustering based on hierarchical density estimates. In Pacific-Asia conference on knowledge discovery and data mining. Springer, Springer, 160--172.
[3]
John Ellson, Emden Gansner, Lefteris Koutsofios, Stephen C North, and Gordon Woodhull. 2001. Graphviz - open source graph drawing tools. In International Symposium on Graph Drawing. Springer, 483--484.
[4]
Veselin Ganev, Zhaochen Guo, Diego Serrano, Denilson Barbosa, and Eleni Stroulia. 2010. Exploring and visualizing academic social networks. In Proceedings of the 19th ACM international conference on Information and knowledge management. ACM, 1963--1964.
[5]
Veselin Ganev, Zhaochen Guo, Diego Serrano, Brendan Tansey, Denilson Barbosa, and Eleni Stroulia. 2009. An environment for building, exploring and querying academic social networks. In Proceedings of the International Conference on Management of Emergent Digital EcoSystems. ACM, 42.
[6]
Maryam Mirzaei, Jörg Sander, and Eleni Stroulia. 2019. Multi-Aspect Review-Team Assignment using Latent Research Areas. Information Processing & Management 56, 3 (2019), 858--878.
[7]
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011. Scikit-learn: Machine learning in Python. Journal of machine learning research 12, Oct (2011), 2825--2830.
[8]
Diego Serrano, Eleni Stroulia, Denilson Barbosa, and Victor Guana. 2012. Sociql: A query language for the socialweb. In Advances in Network Analysis and its Applications. Springer, 381--406.
[9]
Victor N. Silva. 2019. A Flexible Framework to A Flexible Framework to Monitor and Visualize Cluster's Evolution. Master's thesis. University of Alberta, Edmonton, Alberta, Canada.
[10]
David Turner, Diego Serrano, Eleni Stroulia, and Kelly Lyons. 2018. A T-shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study. In INFORMS International Conference on Service Science. Springer, 31--41.

Cited By

View all
  • (2019)Fourth annual workshop on data-driven knowledge mobilizationProceedings of the 29th Annual International Conference on Computer Science and Software Engineering10.5555/3370272.3370325(378-379)Online publication date: 4-Nov-2019

Recommendations

Comments

Information & Contributors

Information

Published In

cover image DL Hosted proceedings
CASCON '19: Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering
November 2019
421 pages

Publisher

IBM Corp.

United States

Publication History

Published: 04 November 2019

Author Tags

  1. document clustering
  2. research evaluation
  3. text analysis
  4. text-evolution analysis
  5. visualization

Qualifiers

  • Research-article

Acceptance Rates

Overall Acceptance Rate 24 of 90 submissions, 27%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)4
  • Downloads (Last 6 weeks)1
Reflects downloads up to 24 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2019)Fourth annual workshop on data-driven knowledge mobilizationProceedings of the 29th Annual International Conference on Computer Science and Software Engineering10.5555/3370272.3370325(378-379)Online publication date: 4-Nov-2019

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media