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Tools for Multivariate, Evolving Scientometric Visualizations Angela Zoss, M.S.

Tools for Multivariate, Evolving Scientometric Visualizations Angela Zoss, M.S. Research Assistant, Cyberinfrastructure for Network Science Center Doctoral Student, School of Library and Information Science Indiana University, Bloomington, IN amzoss@indiana.edu

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Tools for Multivariate, Evolving Scientometric Visualizations Angela Zoss, M.S.

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  1. Tools for Multivariate, Evolving Scientometric Visualizations Angela Zoss, M.S. Research Assistant, Cyberinfrastructurefor Network Science Center Doctoral Student, School of Library and Information Science Indiana University, Bloomington, IN amzoss@indiana.edu March 23, 2011 – Mining the Digital Traces of Science MOMA, ISC-PIF and CREA, CNRS/ÉcolePolytechnique Paris, France

  2. Analysis and Visualization of Science

  3. Advantages for Funding Agencies Supports monitoring of (long-term) money flow and research developments, evaluation of funding strategies for different programs, decisions on project durations, funding patterns. Staff resources can be used for scientific program development, to identify areas for future development, and the stimulation of new research areas. Advantages for Researchers Easy access to research results, relevant funding programs and their success rates, potential collaborators, competitors, related projects/publications (research push). More time for research and teaching. Advantages for Industry Fast and easy access to major results, experts, etc. Can influence the direction of research by entering information on needed technologies (industry-pull). Advantages for Publishers Unique interface to their data. Publicly funded development of databases and their interlinkage. For Society Dramatically improved access to scientific knowledge and expertise. Information Needs for Science Map User Groups

  4. Type of Analysis vs. Scale of Level of Analysis

  5. Type of Analysis vs. Scale of Level of Analysis

  6. Process of Computational Scientometrics Börner, Katy, Chen, Chaomei, and Boyack, Kevin. (2003) Visualizing Knowledge Domains. In Blaise Cronin (Ed.), Annual Review of Information Science & Technology, Volume 37, Medford, NJ: Information Today, Inc./American Society for Information Science and Technology, chapter 5, pp. 179-255.

  7. Computational Scientometrics References Börner, Katy, Chen, Chaomei, and Boyack, Kevin. (2003).Visualizing Knowledge Domains. In Blaise Cronin (Ed.), ARIST, 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. 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).Network Science. In Blaise Cronin (Ed.), ARIST, 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 (2010) Atlas of Science. MIT Press. http://scimaps.org/atlas Börner, Katy. (March 2011). Plug-and-Play Macroscopes.Communications of the ACM, 54(3), 60-69.http://dx.doi.org/10.1145/1897852.1897871

  8. Science of Science Cyberinfrastructure

  9. Overview What cyberinfrastructure will be required to measure, model, analyze, and communicate scholarly data and, ultimately, scientific progress?  Our efforts to create a science of science cyberinfrastructure support: Data access and federation via the Scholarly Database,http://sdb.slis.indiana.edu, Data preprocessing, modeling, analysis, and visualization usingplug-and-play cyberinfrastructures such as theSci2 Tool,http://sci2.cns.iu.edu, Real-time data generation and integration via the VIVO collaboration, http://vivo-netsci.cns.iu.edu,and Communication of science to a general audience via theMapping Science Exhibit at http://scimaps.org.

  10. Related Work Google Code and SourceForge.net provide special means for developing and distributing software • In August 2009, SourceForge.net hosted more than 230,000 software projects by two million registered users (285,957 in January 2011); • In August 2009 ProgrammableWeb.com hosted 1,366 application programming interfaces (APIs) and 4,092 mashups (2,699 APIs and 5,493 mashups in January 2011) Cyberinfrastructures serving large biomedical communities • Cancer Biomedical Informatics Grid (caBIG) (http://cabig.nci.nih.gov) • Biomedical Informatics Research Network (BIRN) (http://nbirn.net) • Informatics for Integrating Biology and the Bedside (i2b2) (https://www.i2b2.org) • HUBzero (http://hubzero.org) platform for scientific collaboration uses • myExperiment (http://myexperiment.org) supports the sharing of scientific workflows and other research objects. Missing so far is a common standard for • the design of modular, compatible algorithm and tool plug-ins(also called “modules” or “components”) • that can be easily combined into scientific workflows (“pipeline” or “composition”), • and packaged as custom tools.

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

  12. Scholarly Database(http://sdb.cns.iu.edu) The Scholarly Database at Indiana University provides free access to 25,000,000 papers, patents, and grants. Since March 2009, users can also download networks, e .g., co-author, co-investigator, co-inventor, patent citation, and tables for burst analysis.

  13. Sci2 Tool for Science of Science(http://sci2.cns.iu.edu) • Explicitly designed for SoS research and practice, well documented, easy to use. • Empowers many to run common studies while making it easy for exports to perform novel research. • Advanced algorithms, effective visualizations, and many (standard) workflows. • Supports micro-level documentation and replication of studies. • Is open source—anybody can review and extend the code, or use it for commercial purposes.

  14. http://sci2.cns.iu.edu http://sci2.wiki.cns.iu.edu

  15. Sci2 Tool

  16. Sci2 Tool Output file formats: GraphML (*.xml or *.graphml) Pajek .MAT (*.mat) Pajek .NET (*.net) NWB (*.nwb) XGMML (*.xml) CSV (*.csv) Supported Input file formats: • GraphML (*.xml or *.graphml) • XGMML (*.xml) • Pajek .NET (*.net) & Pajek .Matrix (*.mat) • NWB (*.nwb) • TreeML (*.xml) • Edge list (*.edge) • CSV (*.csv) • ISI (*.isi) • Scopus (*.scopus) • NSF (*.nsf) • Bibtex (*.bib) • Endnote (*.enw) http://sci2.wiki.cns.iu.edu/2.3+Data+Formats

  17. Network Extraction Sample paper network (left) and four different network types derived from it (right).From ISI files, about 30 different networks can be extracted.

  18. Sci2 Tool Geo Maps Circular Hierarchy

  19. Sci2 Tool Plugins that render into Postscript files: 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. Geo Maps Sci Maps Horizontal Time Graphs

  20. Interactive S&T Maps

  21. http://mapsustain.cns.iu.edu

  22. Google Map JavaScript API was used to implement both maps with two aggregation layers for each. The geographic map aggregates to the state level and the city level.

  23. http://mapofscience.com

  24. The science map has a high level of aggregation of 13 top-level scientific disciplinesand a low level of 554 sub-disciplines.

  25. The geographic map at state level.

  26. The geographic map at city level.

  27. Search results for “corn” Icons have same size but represent different # records

  28. Click on one icon to display all records of one type. Here are publications in the state of Florida.

  29. Detailed information on demand via original source site for exploration and study.

  30. The science map at 13 top-level scientific disciplineslevel.

  31. The science map at 554 sub-disciplineslevel.

  32. Using Semantic Web Data to Improve Data Coverage and Currency

  33. VIVO: A Semantic Approach to Creating a National Network of Researchers (http://vivoweb.org) • Semantic web application and ontology editor originally developed at Cornell U. • Integrates research and scholarship info from systems of record across institution(s). • Facilitates research discovery and cross-disciplinary collaboration. • Simplify reporting tasks, e.g., generate biosketch, department report. Funded by $12 million NIH award. Cornell University: Dean Krafft (Cornell PI), ManoloBevia, Jim Blake, Nick Cappadona, Brian Caruso, Jon Corson-Rikert, Elly Cramer, MedhaDevare, John Fereira, Brian Lowe, Stella Mitchell, Holly Mistlebauer, AnupSawant, Christopher Westling, Rebecca Younes.University of Florida: Mike Conlon (VIVO and UF PI), Cecilia Botero, Kerry Britt, Erin Brooks, Amy Buhler, Ellie Bushhousen, Chris Case, Valrie Davis, Nita Ferree, Chris Haines, Rae Jesano, Margeaux Johnson, Sara Kreinest, Yang Li, Paula Markes, Sara Russell Gonzalez, Alexander Rockwell, Nancy Schaefer, Michele R. Tennant, George Hack, Chris Barnes, NarayanRaum,  Brenda Stevens, Alicia Turner, Stephen Williams.Indiana University: Katy Borner (IU PI), William Barnett, Shanshan Chen, Ying Ding,  Russell Duhon, Jon Dunn, Micah Linnemeier, Nianli Ma, Robert McDonald, Barbara Ann O'Leary, Mark Price, Yuyin Sun, Alan Walsh, Brian Wheeler, Angela Zoss.Ponce School of Medicine: Richard Noel (Ponce PI), Ricardo Espada, Damaris Torres. The Scripps Research Institute: Gerald Joyce (Scripps PI), Greg Dunlap, Catherine Dunn, Brant Kelley, Paula King, Angela Murrell, Barbara Noble, Cary Thomas, MichaeleenTrimarchi.Washington University, St. Louis:RakeshNagarajan (WUSTL PI), Kristi L. Holmes, Sunita B. Koul, Leslie D. McIntosh.Weill Cornell Medical College: Curtis Cole (Weill PI), Paul Albert, Victor Brodsky, Adam Cheriff, Oscar Cruz, Dan Dickinson, Chris Huang, ItayKlaz, Peter Michelini, Grace Migliorisi, John Ruffing, Jason Specland, Tru Tran, Jesse Turner, VinayVarughese.

  34. http://vivo-netsci.cns.iu.edu

  35. Data Download Support • General Statistics • 36 publication(s) from 2001 to 2010 • (.CSV File) • 80 co-author(s) from 2001 to 2010 • (.CSV File) • Co-Author Network • (GraphML File) • Save as Image (.PNG file) • Tables • Publications per year (.CSV File) • Co-authors (.CSV File)

  36. Second Annual VIVO Conference August 24-26, 2011 Gaylord National, Washington D.C. http://vivoweb.org/conference VIVO is supported by NIH Award U24 RR029822

  37. Public Communication of Scientometrics Research: Places and Spaces Exhibit

  38. Mapping Science Exhibit – 10 Iterations in 10 Yearshttp://scimaps.org Science Maps for Science Policy Makers (2009) The Power of Maps (2005) Power of Reference Systems (2006) Science Maps for Scholars (2010) Power of Forecasts (2007) Science Maps as Visual Interfaces to Digital Libraries (2011) Science Maps for Kids (2012) Science Forecasts (2013) How to Lie with Science Maps (2014) Science Maps for Economic Decision Makers (2008) • Exhibit has been shown in 72 venues on four continents. Currently at: • NSF, 10th Floor, 4201 Wilson Boulevard, Arlington, VA • Center of Advanced European Studies and Research, Bonn, Germany • University of Michigan, Ann Arbor, MI

  39. April 5 – 9, 2005: 101st Annual Meeting of theAssociation of American Geographers, Denver, Colorado.

  40. Science Maps in “Expedition Zukunft” science train visiting 62 cities in 7 months, 12 coaches, 300 m long. Opening was on April 23rd, 2009 by German Chancellor Merkel, http://www.expedition-zukunft.de

  41. http://tinyurl.com/45j5rj5 Upcoming Iterations • Science Maps as Visual Interfaces to Digital Libraries (2011) • Science Maps for Kids (2012) • Science Forecasts (2013) • How to Tell Lies with Science Maps (2014)

  42. Contact the map makers or the exhibit curators:Katy Börner (katy@indiana.edu) andMichael J. Stamper (mstamper@indiana.edu)

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