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Science maps
as ways to indicate knowledge transfer
Soó
Sándor Soós
Dept. Science Policy and Scientometrics
Library and In...
Overview
Preliminaries: A global map of science
Preliminaries: Research profiles
Preliminaries: Structural measures
Proble...
A global map of science
A global science map from (Rafols, Porter & Leydesdorff, 2009),
based on WoS databases

Unit of an...
Global Map of Science, 2007
221 SCI-SSCI Subject Categories
Env Sci & Tech
Agri Sci

Ecol Sci

Infectious
Diseases

Geosci...
Modelling research profiles
The science overlay technique
Position of an actor within
the scientific landscape=
Structure ...
Structural measures
Measuring multi- and interdisciplinarity (IDR) upon this model: the
Stirling index
Novelty: Three stru...
Potential: knowledge dynamics
?
A flexible proposal

1
Mean Overlay Distance (MOD) =
n*m

n,m

∑ pi p j dij
i =1, j =1

The (average) distance between two...
App1: development of science
citing

cited

1
n*m

n,m

∑ pi p j dij
i =1, j =1
App1: development of science

MOD: measuring knowledge diffusion/integration through
citation networks (evolution of a sch...
App1: development of science
App1: development of science
App1: development of science
App1: development of science
App1: development of science
App2: Research evaluation
MOD as an evaluative/impact measure
Usual impact measures: based on quantity
Absolute (number of...
App2: Research evaluation
MOD as an impact measure:
How far (distance) a publication gets from its own research field, i.e...
App3: career and mobility studies
Seldom addressed dimension of scientific careers and
mobility: development of a research...
App3: career and mobility studies
The Stirling index as an aggregated/static measure of research profile
development: them...
App3: career and mobility studies
MOD in this context: thematic mobility, dynamic version
Career stage (n)

1
n*m

Career ...
Acknowledgement
This paper was supported by
the European Commission under the FP7 Science in Society
Grant No. 266588 (SIS...
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Sándor Soós - Science maps as ways to indicate knowledge transfer

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Talk given by Sándor Soós at the First annual meeting of KnowEscape COST action.

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Sándor Soós - Science maps as ways to indicate knowledge transfer

  1. 1. Science maps as ways to indicate knowledge transfer Soó Sándor Soós Dept. Science Policy and Scientometrics Library and Information Centre of the Hungarian Acad. Sci. George Kampis Lorand Eötvös University, Budapest, Hungary
  2. 2. Overview Preliminaries: A global map of science Preliminaries: Research profiles Preliminaries: Structural measures Problems of measuring Knowledge dynamics A flexible proposal Application1: Development of science Application2: Research evaluation Application3: Career and mobility studies
  3. 3. A global map of science A global science map from (Rafols, Porter & Leydesdorff, 2009), based on WoS databases Unit of analysis: ISI Subject Category (SC) The map: the proximity network of SCs Method: „bibliometric coupling” of SCs Disciplines: clusters (factors) in the proximity network
  4. 4. Global Map of Science, 2007 221 SCI-SSCI Subject Categories Env Sci & Tech Agri Sci Ecol Sci Infectious Diseases Geosciences Clinical Med Chemistry Matls Sci Engineering Biomed Sci Cognitive Sci. Health & Social Issues Psychology Physics Computer Sci. Business & MGT Social Studies Econ. Polit. & Geography Rafols, Porter and Leydesdorff (2009)
  5. 5. Modelling research profiles The science overlay technique Position of an actor within the scientific landscape= Structure of its research profile Method: Mapping a set of publications onto the global map (basemap) SCs related to the publication record are highlighted, indicating their respective weights
  6. 6. Structural measures Measuring multi- and interdisciplinarity (IDR) upon this model: the Stirling index Novelty: Three structural features accounted for: Number of SCs („variety”) Distribution of pubs over SCs („balance”) Proximity/distance of constituent SCs („disparity”)
  7. 7. Potential: knowledge dynamics ?
  8. 8. A flexible proposal 1 Mean Overlay Distance (MOD) = n*m n,m ∑ pi p j dij i =1, j =1 The (average) distance between two overlay maps based on pairwise (weighted) cognitive distances between constituent SCs
  9. 9. App1: development of science citing cited 1 n*m n,m ∑ pi p j dij i =1, j =1
  10. 10. App1: development of science MOD: measuring knowledge diffusion/integration through citation networks (evolution of a scholarly discourse) A detailed, large-scale case study: the species problem
  11. 11. App1: development of science
  12. 12. App1: development of science
  13. 13. App1: development of science
  14. 14. App1: development of science
  15. 15. App1: development of science
  16. 16. App2: Research evaluation MOD as an evaluative/impact measure Usual impact measures: based on quantity Absolute (number of cits) Normalized (field-normalized relative impact) Weighted (eigenfactor) MOD in this context: scope of citation impact
  17. 17. App2: Research evaluation MOD as an impact measure: How far (distance) a publication gets from its own research field, i.e. what effect it bears on the scientific landscape Carley, S., & Porter, A. L. (2012). A forward diversity index. Scientometrics, 90(2), 407-427.
  18. 18. App3: career and mobility studies Seldom addressed dimension of scientific careers and mobility: development of a research profile Important variable of econometric models on mobility: Effect of profile dynamics on productivity or vice versa (generalist or specialist strategies) Effect of various mobility dimensions on a research profile and vice versa SISOB (Science in Society Observatorium) program, FP7, Mobility use case
  19. 19. App3: career and mobility studies The Stirling index as an aggregated/static measure of research profile development: thematic mobility for a large sample of engineers (SISOB case study) provided by SISOB partner Fondazione Rosselli (U Turin) Sample distribution of thematic mobility Sample distribution by average number of coauthors
  20. 20. App3: career and mobility studies MOD in this context: thematic mobility, dynamic version Career stage (n) 1 n*m Career stage (n+1) n,m ∑ pi p j dij i =1, j =1
  21. 21. Acknowledgement This paper was supported by the European Commission under the FP7 Science in Society Grant No. 266588 (SISOB project), the European Union and the European Social Fund through project FuturICT.hu (grant no.: TÁMOP4.2.2.C-11/1/KONV-2012-0013), the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.

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