1 Mapping the Evolution of Co-Authorship Networks Ke, Visvanath - - PDF document

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1 Mapping the Evolution of Co-Authorship Networks Ke, Visvanath - - PDF document

Jan 27, 2023 508 likes •630 views

Computational Scientometrics Dr. Katy Brner Cyberinfrastructure for Network Science Center, Director Information Visualization Laboratory, Director School of Library and Information Science Indiana University, Bloomington, IN

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Computational Scientometrics

  • Dr. Katy Börner

Cyberinfrastructure for Network Science Center, Director Information Visualization Laboratory, Director School of Library and Information Science Indiana University, Bloomington, IN katy@indiana.edu

The NIH Workshop on Identity and Disambiguation in Scholarly Work University Florida Hilton, Gainesville Florida March 18 & 19, 2010

Computational Scientometrics: Studying Science by Scientific Means

  • Börner, Katy, Chen, Chaomei, and Boyack, Kevin. (2003). Visualiz

Visualizing Knowledge Domains ing Knowledge Domains. In Blaise Cronin (Ed.), Annual Review of Information Science & Technology, Medford, NJ: Information Today, Inc./American Society for Information Science and Technology, Volume 37, Chapter 5, pp. 179-255. http://ivl.slis.indiana.edu/km/pub/2003-borner-arist.pdf

  • Shiffrin, Richard M. and Börner, Katy (Eds.) (2004). Mapping Knowledge Domains

Mapping Knowledge Domains. Proceedings of the National Academy of Sciences of the United States of America, 101(Suppl_1). http://www.pnas.org/content/vol101/suppl_1/

  • Börner, Katy, Sanyal, Soma and Vespignani, Alessandro (2007). Netw

Network Science.

  • rk Science. In Blaise Cronin

(Ed.), Annual Review of Information Science & Technology, Information Today, Inc./American Society for Information Science and Technology, Medford, NJ, Volume 41, Chapter 12, pp. 537-607. http://ivl.slis.indiana.edu/km/pub/2007-borner-arist.pdf

  • Börner, Katy & Scharnhorst, Andrea. (2009). Visual Conce

Visual Conceptualizations and Models of ptualizations and Models of Science Science. Journal of Informetrics. Vol. 3(3), Elsevier. http://ivl.slis.indiana.edu/km/pub/2009-borner-scharnhorst-joi-sos-intro.pdf

  • Places & Spaces: Mapping Science

Places & Spaces: Mapping Science exhibit, see also http://scimaps.org.

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Mapping the Evolution of Co-Authorship Networks Ke, Visvanath & Börner, (2004) Won 1st price at the IEEE InfoVis Contest.

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Research question:

  • Is science driven by prolific single experts
  • r by high-impact co-authorship teams?

Contributions:

  • New approach to allocate citational

credit.

  • Novel weighted graph representation.
  • Visualization of the growth of weighted

co-author network.

  • Centrality measures to identify author

impact.

  • Global statistical analysis of paper

production and citations in correlation with co-authorship team size over time.

  • Local, author-centered entropy measure.

Studying the Emerging Global Brain: Analyzing and Visualizing the Impact of Co-Authorship Teams

Börner, Dall’Asta, Ke & Vespignani (2005) Complexity, 10(4):58-67.

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113 Years of Physical Review

http://scimaps.org/dev/map_detail.php?map_id=171 Bruce W. Herr II and Russell Duhon (Data Mining & Visualization), Elisha F. Hardy (Graphic Design), Shashikant Penumarthy (Data Preparation) and Katy Börner (Concept)

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Spatio-Temporal Information Production and Consumption of Major U.S. Research Institutions

Börner, Katy, Penumarthy, Shashikant, Meiss, Mark and Ke, Weimao. (2006) Mapping the Diffusion of Scholarly Knowledge Among Major U.S. Research

  • Institutions. Scientometrics. 68(3), pp. 415-426.

Research questions:

  • 1. Does space still matter

in the Internet age?

  • 2. Does one still have to

study and work at major research institutions in order to have access to high quality data and expertise and to produce high quality research?

  • 3. Does the Internet lead to more global citation

patterns, i.e., more citation links between papers produced at geographically distant research instructions? Contributions:

  • Answer to Qs 1 + 2 is YES.
  • Answer to Qs 3 is NO.
  • Novel approach to analyzing the dual role of

institutions as information producers and consumers and to study and visualize the diffusion

  • f information among them.

Mapping Indiana’s Intellectual Space

Identify

  • Pockets of innovation
  • Pathways from ideas to products
  • Interplay of industry and academia
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Co-word space

  • f the top 50

highly frequent and bursty words used in the top 10% most highly cited PNAS publications in 1982-2001.

Mane & Börner. (2004) PNAS, 101(Suppl. 1): 5287-5290.

Mapping Topic Bursts

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Compare R01 investigator based funding with TTURC Center awards in terms of number of publications and evolving co-author networks.

Zoss & Börner, forthcoming.

Mapping Transdisciplinary Tobacco Use Research Centers Publications

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Cyberinfrastructure Design http://cns.slis.indiana.edu Scholarly Database

http://sdb.slis.indiana.edu http://sdb.slis.indiana.edu

“From Data Silos to Wind Chimes”

  • Create public databases that any scholar can use. Share the burden of data cleaning and

federation.

  • Interlink creators, data, software/tools, publications, patents, funding, etc.

La Rowe, Gavin, Ambre, Sumeet, Burgoon, John, Ke, Weimao and Börner, Katy. (2007) The Scholarly Database and Its Utility for Scientometrics Research. In Proceedings of the 11th International Conference on Scientometrics and Informetrics, Madrid, Spain, June 25- 27, 2007, pp. 457-462. http://ella.slis.indiana.edu/~katy/paper/07-issi-sdb.pdf Nianli Ma

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Scholarly Database: Web Interface

Anybody can register for free to search the about 23 million records and download results as data dumps. Currently the system has over 130 registered users from academia, industry, and government from over 60 institutions and four continents. Since March 2009: Users can download networks:

  • Co-author
  • Co-investigator
  • Co-inventor
  • Patent citation

and tables for burst analysis in NWB.

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VIVO: A Semantic Approach to Creating a National Network of Researchers (Team in 2009)

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Network Workbench Tool

http://nwb.slis.indiana.edu The Network Workbench (NWB) tool supports researchers, educators, and practitioners interested in the study of biomedical, social and behavioral science, physics, and other networks. In Aug. 2009, the tool provides more 160 plugins that support the preprocessing, analysis, modeling, and visualization of networks. Uses OSGi/CIShell core to “plug-and- play” datasets and algorithms.

Herr II, Bruce W., Huang, Weixia (Bonnie), Penumarthy, Shashikant & Börner, Katy. (2007). Designing Highly Flexible and Usable Cyberinfrastructures for Convergence. In Bainbridge, William S. & Roco, Mihail C. (Eds.), Progress in Convergence - Technologies for Human Wellbeing (Vol. 1093, pp. 161-179), Annals of the New York Academy of Sciences, Boston, MA.

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Serving Non-CS Algorithm Developers & Users

CIShell Developers Users IVC Interface NWB Interface CIShell Wizards

Sci2 Tool

Geo Maps Circular Hierarchy

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Sci2 Tool

http://sci.slis.indiana.edu http://sci.slis.indiana.edu

“Open Code for S&T Assessment” Branded OSGi/CIShell based tool with NWB plugins and many new plugins.

Börner, Katy, Huang, Weixia (Bonnie), Linnemeier, Micah, Duhon, Russell Jackson, Phillips, Patrick, Ma, Nianli, Zoss, Angela, Guo, Hanning & Price, Mark. (2009). Rete-Netzwerk-Red: Analyzing and Visualizing Scholarly Networks Using the Scholarly Database and the Network Workbench Tool. Proceedings of ISSI 2009: 12th International Conference on Scientometrics and Informetrics, Rio de Janeiro, Brazil, July 14-17 . Vol. 2, pp. 619-630. Horizontal Time Graphs Sci Maps GUESS Network Vis

Papers, maps, cyberinfrastructures, talks, press are linked from http://cns.slis.indiana.edu

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