A geographical analysis of knowledge production in computer science
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A Geographical Analysis of Knowledge Production in Computer Science Guilherme Vale Menezes Nivio Ziviani Alberto H. F. Laender Virgílio Almeida [email protected] [email protected] [email protected] [email protected] Federal University of Minas Gerais - Brazil Summary

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A geographical analysis of knowledge production in computer science l.jpg

A Geographical Analysis of Knowledge Production in Computer Science

Guilherme Vale Menezes

Nivio Ziviani

Alberto H. F. Laender

Virgílio Almeida

[email protected]

[email protected]

[email protected]

[email protected]

Federal University of Minas Gerais - Brazil


Summary l.jpg
Summary Science

  • Introduction

  • Data Gathering

  • Results

  • Conclusions

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


The problem l.jpg
The ScienceProblem

  • Study the characteristics of researchers of Computer Science graduate programs

  • 30 graduate programs in 3 geographic regions

  • Build collaboration social networks based on DBLP

  • We use several metrics of collaboration social networks

    • Giant Component

    • Clustering Coefficient

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Steps Science

  • Comparison between 30 programs in 3 regions

  • Comparison between 30 Computer Science fields

  • Study of the interrelationship between fields

  • Temporal analysis of the 3 regions and the fields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Collaboration Science Network

Author

Collaboration

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Collaborations Science in DCC-UFMG

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Collaborations Science in DCC-UFMG

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Summary Science

  • Introduction

  • Data Gathering

  • Results

  • Conclusions

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


Data gathering l.jpg
Data ScienceGathering

  • Part ofour data camefromPerfil-CCproject

  • ObjectiveofPerfil-CC: studyBrazilianComputerSciencegraduateprograms

  • A set of 30 programswaschosen

  • Focus: comparisonwith NorthAmericanprograms

  • Resultssupportedpublic policies

  • Data gathered in June 2007

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Brazilian SciencePrograms

PUC-Rio, UFRJ, UFPE, UFMG,

USP-SP, USP-SC, UNICAMP, UFRGS

8 graduate programs

391 authors

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Canadian Scienceand US Programs

British Columbia, Toronto, Waterloo, Brown, CalTech,

CMU, Cornell, Harvard, Illinois, MIT, Princeton, Stanford,

UC Berkeley, UTexas Austin, Washington, Wisconsin

16 graduate programs

1,262 authors

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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French Science, Swissand UK Programs

ETH Zurich, Cambridge U., Imperial College,

Oxford U., École Polytechnique, Paris VI

6 graduate programs

611 authors

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Data ScienceGathering

  • Professors obtained from the departments’ websites

  • Publications from DBLP

Programs: 30

Professors: 2,007

Authors: 76,537

Papers: 352,766

Venues: 2,176

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Venue ScienceClassification

  • 2,176 wereclassified (byhumans) into 30 fields

  • Thelistoffieldswasobtainedfrom a poll

  • ThebrazilianComputerScienceresearchcommunitywasconsulted

  • 312 researchersidentified 30 differentfields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Computer ScienceScienceFields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Computer ScienceScienceFields

Algorithms

andTheory

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Computer ScienceScienceFields

Information

Retrieval

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Computer ScienceScienceFields

Bioinformatics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Summary Science

  • Introduction

  • Data Gathering

  • Results

  • Conclusions

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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General ScienceStatistics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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General ScienceStatistics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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General ScienceStatistics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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General ScienceStatistics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponent

  • A connectedcomponent is amaximumconnectedsubgraph

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponent

  • A connectedcomponent is amaximumconnectedsubgraph

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponent

  • A connectedcomponent is amaximumconnectedsubgraph

  • Thelargestconnectedcomponent is thegiantcomponent

Giant Component size = 5 / 11 = 0.45 = 45%

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponent

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentinsidePrograms

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Clustering ScienceCoefficient

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Clustering ScienceCoefficient

  • Clustering coefficient of the network is the average clustering coefficient of its vertexes

  • The clustering coefficient is a measure of transitivity

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Clustering ScienceCoefficient

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Computer ScienceScienceFields

  • Clustering Coefficient below the average (87%) for fields closely related to Mathematics

    • Algorithms and Theory (79%)

    • Operational Reaseach and Optimization (83%)

    • Formalisms, Logics and Semantics (83%)

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Interrelationship SciencebetweenFields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Interrelationship SciencebetweenFields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentEvolution

Increase in the number of graduate programs in 1990s

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentEvolution

Increase in government funding

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentEvolution

A shift in policy: more support to research groups

instead of individuals

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Giant ScienceComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Edges SciencevsVertices

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Clustering ScienceCoefficientEvolution

  • 2 well-established fields

    • Computer Architecture

    • Databases

  • 2 emerging fields

    • Bioinformatics

    • Geoinformatics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Clustering ScienceCoefficientEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Clustering ScienceCoefficientEvolution

Densification

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


Summary47 l.jpg
Summary Science

  • Introduction

  • Data Gathering

  • Results

  • Conclusions

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


Conclusions l.jpg
Conclusions Science

  • Analysis of the characteristics of researchers of Computer Science graduate programs

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Conclusions Science

  • Analysis of the characteristics of researchers of Computer Science graduate programs

  • Differences in the collaboration network of Br, Ca-US and Fr-Sw-UK

    • Giant component

    • Clustering coefficient

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Conclusions Science

  • Analysis of the characteristics of researchers of Computer Science graduate programs

  • Differences in the collaboration network of Br, Ca-US and Fr-Sw-UK

    • Giant component

    • Clustering coefficient

  • Smaller clustering coefficient for areas more closely related to Mathematics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Conclusions Science

  • Fast growth of the giant component in Brazil

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Conclusions Science

  • Fast growth of the giant component in Brazil

  • The number of edges grows faster than the number of vertices in the three regions; faster growth in Ca-US

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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Conclusions Science

  • Fast growth of the giant component in Brazil

  • The number of edges grows faster than the number of vertices in the three regions; faster growth in Ca-US

  • Densification of emerging fields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


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References Science

Laender, Lucena, Maldonado, Souza e Silva, Ziviani. Assessing the Research and Education Quality of the Top Brazilian Graduate Programs. ACM SIGCSE Bulletin, 40:135-145, June 2008.

Martins, Gonçalves, Laender, Ziviani. Assessing the Quality of Scientific Conferences Based on Bibliographic Citations. Scientometrics, to appear. 2009.

LAboratory for Treating INformation (LATIN) – UFMG - Brazil


Guilherme vale menezes nivio ziviani alberto h f laender virg lio almeida l.jpg

? Science

Guilherme Vale Menezes

Nivio Ziviani

Alberto H. F. Laender

Virgílio Almeida

[email protected]

[email protected]

[email protected]

[email protected]

Federal University of Minas Gerais - Brazil


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