Christina's LIS Rant

Tuesday, October 28, 2008

ASIST2008: Bibliometrics
Author Co-citation Analysis

ABCA

See their more complete paper already available in early view at JASIST (DOI:10.1002/asi.20910 or maybe there’s another one?)

limitations – retrospective, and usually contributions only as first author, fixed when articles are published

extend bibliographic coupling from document to author, so can change over time if one or other of the authors is still publishing

- current trends

- evolution

author bib coupl. frequ , measure relatedness of authors

- defined as the number of ref the two authors’ oeuvres share

- calculated as the overlap btwn the weighted ref sets of two oeuvres

- factor analysis as method of revealing underlying structure of interrelationships

factors extracted by principal component analysis (PCA)

model fit in ABCA was a lot lower than ACA – in ABCA look at very broad range of papers and topics, finds those common with other authors

ABCA realistic view of state

ACA better view of external/internal influences

Reactive tendencies of Bibliometric Indicators

Frandsen and Nicolaisen

Use of alphabetization when listing author names in journal articles – suggest adding as a negative steering effect of bibliometric indicators

- reflexivity – author level – submit to high prestige journals; journal – attempts to inflate impact factors (doping);

steering effects (performativity of measures)

Glanzel – positive steering effects – motivate researchers to collaborate or publish

negative – exaggerated collaboration, inflation, salami slicing, citation cliques, self-citations, editors suggest citations from journal where submitted.

Weingart 2005

can depend on disciplines

- credit practices vary by and within disciplines

- value placed on being first author

- not explicit about ordering of authors – learned and just done automatically

Laband, 2002 – 89% of articles in econ are alpha

[at the sts global grad student conference, the keynote from the guy from Ecole des Mines de Paris spoke about a London School of Econ article on the performativity of research indicators… very interesting area I should definitely dig into more]

Info science dropping in alphabetized multiauthorships – statistically significant negative coefficients

Econ rising – statistically significant positive coefficients

deviating from the norm of alpha in econ is a strong signal – hmm.

metrics relying on first author can distort, but we could give equal credit to all authors – but this would not be fair in information science

questions: MK – did you take out the number of times that the primary author has a name that is earlier in the alphabet

DW – look at corresponding author ? – good future thing

other – what about co-authors that rotate

[my question about future work – would be about in BMJ and other journals where they say exactly who did what]

Indicators of Structural Change and Interdisciplinarity: Dynamic animations of Journal Maps

Loet Leydesdorff

computer program available on his web site to solve some of these problems

he used this for journals but can also use for ACA

relationships among journals, individuals,…. all change at the same time, how can you control…?

static analysis – graph analysis vs factor analysis

dynamic problem – both factors and factor loadings of variables can change at the same time

system of partial differential equations

solutions

comparative stats based on journal maps

entropy stats > algorithmic solutions (but no visualizations, so hard to understand)

interdiscplinarity operationalized as betwnness centrality in the vector space

2-d we can use Kruskall’s stress (MDS), Kamada & Kawai

majorant function (gansner .. .dynamic stress minimalization (Schank 2008) – like K&K but add stress function – so can do 3 d

vice using square co-occurrence prefers to use 2 mode author –doc and then take cosine

place of social networks journal wrt other fields – so show animation over multiple years

[ok, so this animation is way cool]

interestingly 2004 was sort of an accident, before and after, journal was in sociology or mathematical sociology

nanotechnology journal

early on mostly applied physics – some chemistry off and on

then tightly chem. and phys and bio shows up… interesting.

cog sci

in between psych and educational research, high betweenness centrality, excursions to other sciences like cs (comp linguistics)

conclusions

- excursions from disciplinary basins of attraction

- no interdiscplinarity but bi-disciplinarity

- no interfaces btwn social and natural sciences stabilized – they come and go from year to year

[oh – this is Visone he’s talking about .. I downloaded that… but never really ran it through its paces]

question: about the stability issue – what can we attribute this to? maybe special issues – yes in part –

of course these were journals picked to not be stable.

ABCA

See their more complete paper already available in early view at JASIST (DOI:10.1002/asi.20910 or maybe there’s another one?)

limitations – retrospective, and usually contributions only as first author, fixed when articles are published

extend bibliographic coupling from document to author, so can change over time if one or other of the authors is still publishing

- current trends

- evolution

author bib coupl. frequ , measure relatedness of authors

- defined as the number of ref the two authors’ oeuvres share

- calculated as the overlap btwn the weighted ref sets of two oeuvres

- factor analysis as method of revealing underlying structure of interrelationships

factors extracted by principal component analysis (PCA)

model fit in ABCA was a lot lower than ACA – in ABCA look at very broad range of papers and topics, finds those common with other authors

ABCA realistic view of state

ACA better view of external/internal influences

Reactive tendencies of Bibliometric Indicators

Frandsen and Nicolaisen

Use of alphabetization when listing author names in journal articles – suggest adding as a negative steering effect of bibliometric indicators

- reflexivity – author level – submit to high prestige journals; journal – attempts to inflate impact factors (doping);

steering effects (performativity of measures)

Glanzel – positive steering effects – motivate researchers to collaborate or publish

negative – exaggerated collaboration, inflation, salami slicing, citation cliques, self-citations, editors suggest citations from journal where submitted.

Weingart 2005

can depend on disciplines

- credit practices vary by and within disciplines

- value placed on being first author

- not explicit about ordering of authors – learned and just done automatically

Laband, 2002 – 89% of articles in econ are alpha

[at the sts global grad student conference, the keynote from the guy from Ecole des Mines de Paris spoke about a London School of Econ article on the performativity of research indicators… very interesting area I should definitely dig into more]

Info science dropping in alphabetized multiauthorships – statistically significant negative coefficients

Econ rising – statistically significant positive coefficients

deviating from the norm of alpha in econ is a strong signal – hmm.

metrics relying on first author can distort, but we could give equal credit to all authors – but this would not be fair in information science

questions: MK – did you take out the number of times that the primary author has a name that is earlier in the alphabet

DW – look at corresponding author ? – good future thing

other – what about co-authors that rotate

[my question about future work – would be about in BMJ and other journals where they say exactly who did what]

Indicators of Structural Change and Interdisciplinarity: Dynamic animations of Journal Maps

Loet Leydesdorff

computer program available on his web site to solve some of these problems

he used this for journals but can also use for ACA

relationships among journals, individuals,…. all change at the same time, how can you control…?

static analysis – graph analysis vs factor analysis

dynamic problem – both factors and factor loadings of variables can change at the same time

system of partial differential equations

solutions

comparative stats based on journal maps

entropy stats > algorithmic solutions (but no visualizations, so hard to understand)

interdiscplinarity operationalized as betwnness centrality in the vector space

2-d we can use Kruskall’s stress (MDS), Kamada & Kawai

majorant function (gansner .. .dynamic stress minimalization (Schank 2008) – like K&K but add stress function – so can do 3 d

vice using square co-occurrence prefers to use 2 mode author –doc and then take cosine

place of social networks journal wrt other fields – so show animation over multiple years

[ok, so this animation is way cool]

interestingly 2004 was sort of an accident, before and after, journal was in sociology or mathematical sociology

nanotechnology journal

early on mostly applied physics – some chemistry off and on

then tightly chem. and phys and bio shows up… interesting.

cog sci

in between psych and educational research, high betweenness centrality, excursions to other sciences like cs (comp linguistics)

conclusions

- excursions from disciplinary basins of attraction

- no interdiscplinarity but bi-disciplinarity

- no interfaces btwn social and natural sciences stabilized – they come and go from year to year

[oh – this is Visone he’s talking about .. I downloaded that… but never really ran it through its paces]

question: about the stability issue – what can we attribute this to? maybe special issues – yes in part –

of course these were journals picked to not be stable.

Labels: ASIST2008

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This is my blog on library and information science. I'm into Sci/Tech libraries, special libraries, personal information management, sci/tech scholarly comms.... My name is Christina Pikas and I'm a librarian in a physics, astronomy, math, computer science, and engineering library. I'm also a doctoral student at Maryland. Any opinions expressed here are strictly my own and do not necessarily reflect those of my employer or CLIS. You may reach me via e-mail at cpikas {at} gmail {dot} com.

Christina's LIS Rant by Christina K. Pikas is licensed under a Creative Commons Attribution 3.0 United States License.

Christina Kirk Pikas

cpikas@gmail.com

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