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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

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
Summary
  • Introduction
  • Data Gathering
  • Results
  • Conclusions

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

the problem
TheProblem
  • 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

steps
Steps
  • 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

collaboration network
Collaboration Network

Author

Collaboration

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

collaborations in dcc ufmg
Collaborations in DCC-UFMG

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

collaborations in dcc ufmg7
Collaborations in DCC-UFMG

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

summary8
Summary
  • Introduction
  • Data Gathering
  • Results
  • Conclusions

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

data gathering
Data Gathering
  • 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

brazilian programs
BrazilianPrograms

PUC-Rio, UFRJ, UFPE, UFMG,

USP-SP, USP-SC, UNICAMP, UFRGS

8 graduate programs

391 authors

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

canadian and us programs
Canadianand 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

french swiss and uk programs
French, 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

data gathering13
Data Gathering
  • 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

venue classification
VenueClassification
  • 2,176 wereclassified (byhumans) into 30 fields
  • Thelistoffieldswasobtainedfrom a poll
  • ThebrazilianComputerScienceresearchcommunitywasconsulted
  • 312 researchersidentified 30 differentfields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

computer science fields
ComputerScienceFields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

computer science fields16
ComputerScienceFields

Algorithms

andTheory

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

computer science fields17
ComputerScienceFields

Information

Retrieval

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

computer science fields18
ComputerScienceFields

Bioinformatics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

summary19
Summary
  • Introduction
  • Data Gathering
  • Results
  • Conclusions

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

general statistics
General Statistics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

general statistics21
General Statistics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

general statistics22
General Statistics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

general statistics23
General Statistics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component
GiantComponent
  • A connectedcomponent is amaximumconnectedsubgraph

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component25
GiantComponent
  • A connectedcomponent is amaximumconnectedsubgraph

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component26
GiantComponent
  • A connectedcomponent is amaximumconnectedsubgraph
  • Thelargestconnectedcomponent is thegiantcomponent

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

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component27
GiantComponent

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component inside programs
GiantComponentinsidePrograms

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

clustering coefficient
ClusteringCoefficient

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

clustering coefficient30
ClusteringCoefficient
  • 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

clustering coefficient31
ClusteringCoefficient

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

computer science fields32
ComputerScienceFields
  • 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

interrelationship between fields
InterrelationshipbetweenFields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

interrelationship between fields34
InterrelationshipbetweenFields

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component evolution
GiantComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component evolution36
GiantComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component evolution37
GiantComponentEvolution

Increase in the number of graduate programs in 1990s

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component evolution38
GiantComponentEvolution

Increase in government funding

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component evolution39
GiantComponentEvolution

A shift in policy: more support to research groups

instead of individuals

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component evolution40
GiantComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component evolution41
GiantComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

giant component evolution42
GiantComponentEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

edges vs vertices
EdgesvsVertices

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

clustering coefficient evolution
ClusteringCoefficientEvolution
  • 2 well-established fields
    • Computer Architecture
    • Databases
  • 2 emerging fields
    • Bioinformatics
    • Geoinformatics

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

clustering coefficient evolution45
ClusteringCoefficientEvolution

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

clustering coefficient evolution46
ClusteringCoefficientEvolution

Densification

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

summary47
Summary
  • Introduction
  • Data Gathering
  • Results
  • Conclusions

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

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

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

conclusions49
Conclusions
  • 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

conclusions50
Conclusions
  • 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

conclusions51
Conclusions
  • Fast growth of the giant component in Brazil

LAboratory for Treating INformation (LATIN) – UFMG - Brazil

conclusions52
Conclusions
  • 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

conclusions53
Conclusions
  • 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

references
References

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
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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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