sándor soós - science maps as ways to indicate knowledge transfer

Science mapsas ways to indicate knowledge transfer

SSSSáááándor Sondor Sondor Sondor SoóóóóssssDept. Science Policy and Scientometrics

Library and Information Centre of the Hungarian Acad. Sci.

George KampisGeorge KampisGeorge KampisGeorge KampisLorand Eötvös University, Budapest, Hungary

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

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

Rafols, Porter and Leydesdorff (2009)

Cognitive Sci.

Agri Sci

Biomed Sci

Chemistry

Physics

Engineering

Env Sci & Tech

Matls Sci

Infectious

Diseases

Psychology

Social Studies

Clinical Med

Computer Sci.

Business & MGT

Geosciences

Ecol Sci

Econ. Polit. & Geography

Health & Social Issues

Global Map of Science, 2007221 SCI-SSCI Subject Categories

Modelling research profilesThe 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

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/distanceProximity/distanceProximity/distanceProximity/distance of constituent SCs („disparity”)

Potential: knowledge dynamics

?

A flexible proposal

Mean Overlay Distance (MOD)Mean Overlay Distance (MOD)Mean Overlay Distance (MOD)Mean Overlay Distance (MOD) = ∑==

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The (average) distance between two overlay mapsbased on pairwise (weighted) cognitive distances between constituent SCs

App1: development of science

citing

cited

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App1: development of science

� MOD: measuring knowledge diffusion/integrationmeasuring knowledge diffusion/integrationmeasuring knowledge diffusion/integrationmeasuring knowledge diffusion/integration through citation networks (evolution of a scholarly discourse)

� A detailed, large-scale case study: the species problem

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 cits)

� Normalized (field-normalized relative impact)

� Weighted (eigenfactor)

MOD in this context: scope of citation impactscope of citation impactscope of citation impactscope of citation impact

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.

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

App3: career and mobility studies

� The Stirling indexStirling indexStirling indexStirling index as an aggregated/staticaggregated/staticaggregated/staticaggregated/static measure of research profile development: thematic mobilitythematic mobilitythematic mobilitythematic 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

App3: career and mobility studies

� MOD in this context: thematic mobility, dynamic versionthematic mobility, dynamic versionthematic mobility, dynamic versionthematic mobility, dynamic version

Career stage (n)

∑==

mn

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Career stage (n+1)

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.: TÁMOP-4.2.2.C-11/1/KONV-2012-0013),

� the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.