Patterns of research collaboration in a digital library for economics

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Patterns of research collaboration in a digital library for economics

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Electronic Collections Librarian. Yale University. ASIS&T 2006 Annual Meeting. November 3-8, 2006 ... Phillips, P. C. B. Peter C. B. Phillips. Peter Phillips ... –

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Title: Patterns of research collaboration in a digital library for economics


1
Patterns of research collaboration in a digital
library for economics
Nisa Bakkalbasi Electronic Collections
Librarian Yale University
Thomas Krichel College of Information and
Computer Science Long Island University
ASIST 2006 Annual Meeting November 3-8,
2006 Austin, Texas
2
Introduction
  • This paper analyzes the patterns of authorships
    and incidence of collaborative relationships in a
    digital library for economics.
  • We study co-authorship using social network
    analysis.

3
Background
  • Studies on scientific productivity suffer from
    the multiple names that can be given to the same
    author, making identification difficult. For
    example
  • Phillips, P. C. B
  • Peter C. B. Phillips
  • Peter Phillips
  • For scientific collaboration studies, the issue
    becomes worse as the error in unique
    identification of one author extends across the
    whole network.

4
Background
  • To be precise, most collaboration studies study
    small networks
  • All authors are known and can be identified by
    hand.
  • Issues of computation are simple.
  • This study examines a large co-authorship
    network where all authors are uniquely
    identified.
  • The dataset comes from the RePEc digital library.

5
RePEc Research Papers in Economics
  • A digital library for economics and related
    disciplines.
  • Provides access to 362,000 items of interest
    such as working papers, journal articles,
    software components, and instructional datasets.
  • All RePEc data are freely available online.
  • Data is contributed by academic departments,
    institutions involved in economics research (e.g.
    central banks), publishers, and individuals.
  • A collaborative effort of hundreds of volunteers
    in 51 countries.

6
RAS RePEc Author Service
  • The RePEc author service is a site where authors
    registers and creates a professional profile.
  • See http//ras.repec.org
  • The author provides contact information,
    affiliation, and publications.
  • The development of the software for the RePEc
    author service was supported by the Open Society
    Institute.
  • For more information see http//acis.openlib.org.

7
Record from the RAS database
Template-Type ReDIF-Person 1.0 Name-First
Christian Name-Last Zimmermann Name-Full
Christian Zimmermann Workplace-Organization
RePEcedideuctus Email christian.zimmermann_at_ucon
n.edu Homepage http//ideas.repec.org/zimm/ Autho
r-Paper repeccrecrefwp33 Author-Paper
repecmtlmontde2000-05 Author-Software
repecdgeqmrbcd99 Author-Software
repecdgeqmrbcd97 Author-Paper
repecuctuconnp2005-01 Author-Article
repeceeejceconv33y2005i1p88-106 Author-A
rticle repeceeejmacrov26y2004i4p637-659
Author-Paper repecscescecf5372 Author-Paper
repecredsed005561 Short-Id pzi1 Handle
repecper1964-12-14christian_zimmermann Last-Log
in-Date 2005-11-21 152520 -0500 Registered-Date
2004-02-29 173609 0600
8
Screenshot of a web page that renders this data
on the web
9
How complete is RAS?
  • RAS has been in use since 1999.
  • When we did the study
  • 1/3 papers had been claimed by at least one
    registered author.
  • 1/4 authorships are covered in RAS.
  • RAS expands over time, but RePEc expands too, so
    these ratios only move up slowly.
  • We conjecture that there is a tendency for
    prolific authors to register.

10
Distribution of the number of authors per paper
in RePEc and RAS
Number of authors Number of papers RePEc R
AS 1 180,716 (49.91) 99,562
(80.00) 2 129,638 (35.80) 22,315 (17.93) 3
42,427 (11.72) 2,425 (1.95) 4 7,021
(1.94) 130 (0.10) 5 1,338 (0.37)
9 (0.01) 6 425 (0.12) 4
(0.00) 7 193 (0.05) 1 (0.00) ?
8 99 (0.03) 1 (0.00)
11
Summary statistics for RAS registrants
of RAS registrants 12,381 of registrants
who did not claim a paper 3,715 of
registrants who claim at least one paper
8,666 of authorships
152,072 Average number of papers/author 17.55
12
Authors ranked according to the number of
co-authors
Rank Author Co-authors Papers 1 Randall
Wright 27 106 2 Joseph Stiglitz 26 320 3 Clive
Granger 25 165 4 James Stock 23 111 5 Pierre
Chiappori 23 91 6 Martin Feldstein 22 259 7 Phi
lip Franses 22 163 8 Robert Hubbard 22 116 9 F
rancis Diebold 21 189 10 Stephen
Jenkins 21 138
13
Frequency distribution of authors by number of
documents
14
Summary statistics for RAS authors and
co-authorship networks
Number of authorships by co-authors 137,550 Numb
er of authors with at least one
co-author 5,661 Number of authorships with at
least one co-author 109,924 Average number of
collaborators/co-author 2.05 Size of the
largest component 4,659 Number of
components 382 Network diameter 22
15
Component size distribution
16
Degree centrality distribution
Only a few authors have a high degree of
connection while many others have a low degree.
17
Authors ranked according to centrality measure
RankDegree Betweenness Closeness 1 Randall
Wright 54 Joseph Stiglitz 903758.86 Joseph
Stiglitz 4.8199 2 Joseph Stiglitz 52 F.
Schiantarelli 700949.47 Olivier Blanchard 4.8952
3 Clive Granger 50 J. von Hagen 699927.26 James
Stock 4.9594 4 P. Chiappori 46 Costas
Meghir 626284.35 F. Schiantarelli 4.9972 5 James
Stock 46 Clive Granger 587076.57 Martin
Feldstein 5.0004 6 M. Feldstein 44 Gert
Wagner 579692.04 J. von Hagen 5.0453 7 Philip
Franses 44 Mark Taylor 551873.68 Costas
Meghir 5.0459 8 R. Hubbard 44 O.
Blanchard 541855.20 B. Eichengreen 5.0711 9 F.
Diebold 42 Pierre Chiappori 530045.41 Marcus
Miller 5.0805 10 S. Jenkins 42 K.
Zimmermann 504285.85 Alison Booth 5.0893
18
Conclusions
  • Authors who have written a large number of
    papers tend to register with RAS.
  • The 80/20 Rule (i.e., 80 of the information
    productivity is generated by 20 of the
    information resources), does not apply to RAS
    authors.
  • RAS registrants appear to have a broad range of
    coauthors, with most having only a few coauthors,
    whereas a few having many.
  • RAS population is made up of highly active
    academics.

19
Further Work
  • RePEc also identifies institutions.
  • Therefore work on institutional collaboration
    can be done quite easily.
  • It is also possible to compute various rankings
    of
  • authors
  • institutions
  • journals
  • using citation and download data.

20
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