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 BIBLIOMETRICS
 SCINTOMETRICS
 CITATION ANALYSIS
 CONTENT ANALYSIS
Presented By
Sumit Ranjan
Junior Research Fellow
Dept. Of Library & Information Science (SIST)
BBAU, LUCKNOW
PRESENTATION TOPICS
What is Bibliometrics?Bibliometrics literally means "book measurement" but the term is used
about all kinds of documents (with journal articles as the dominant kind of
document). What is measured are not the physical properties of documents
but statistical patterns in variables such as authorship, sources, subjects,
geographical origins, and citations. Bibliometrics is defined as “the study of
quantitative aspects of the production, dissemination and use of recorded
information”. Herubel5 explained bibliometrics as “as a quantitative analysis
of publications for the purpose of ascertaining specific kind of phenomenon”.
• “… all studies which seek to quantify processes of written
communication.”
Pritchard
• “… the quantitative treatment of the propertied of recorded discourse
and behavior pertaining to it.”
Fairthorne
• Recorded communication - ‘literature’->
quantitative methods
2
Alan Pritchard 1969
 Coined the term “Bibliometrics“ in a paper “Statistical
bibliography or Bibliometrics” published in the Journal
of Documentation (1969)
"the application of mathematics and statistical methods
to books and other media of communication“
Journal of Documentation (1969) 25(4):348-349
quantitative methods
3
 Also used to study broader than books, articles
…
 Scientometrics
• covering science in general, not just
publications
 Infometrics
• all information objects
 Webometrics or cybermetrics
• web connections, manifestations
• using bibliometric techniques to study the
relationship or properties of different sites
on the web
and other related metrics …
4
Reasons for quantitative studies of
literature
Analysis of structure and dynamics
• search for regularities - predictions possible
Understanding of patterns
• “order out of documentary chaos”
• verification of models, assumptions
Rationale for policies & design
5
Application of Bibliometrics
 To identify research trends and growth of knowledge.
 To estimate comprehensiveness of secondary periodicals.
 Library selection, weeding, policies
 Information organization
 Information management
 To identify users of different subjects.
 To identify authorship and its trends in documents on various
subjects.
 To forecast past, present and future publishing trends.
 To predict productivity of publishers, individual authors,
organizations and countries.
6
What Studied?
Governed by data available in documents or
information resources in general - that what
can be counted
author(s)
origin
•organization, country, language
source
•journal, publisher, patent …
7
What … more
contents
• text, parts of text, subject, classes
representation
citations
• to a document, in a document, co-citation
utilization
• circulation, various uses
links
any other quantifiable attribute
8
Tools
 Science Citation Index
 Compilation of variables from journals in
a subject
 Use data
 Publication counts from indexes, or
other data bases
 Web structures, links
9
Variable: Authors
number in a subject, field, institution, country
growth
correlation with indicators like GNP, energy etc.
productivity e.g. Lotka’s law
collaboration - co-authorship, associated
networks
dynamics - productive life, epidemics
papers/author in a subject
mapping
10
Variable: Origin
Rates of production, size, growth by
• country, institution, language, subject
Comparison between these
Correlation with economic & other
indicators
11
Variable: Sources
Concentration most often on journals
Growth, dynamics, numbers
• information explosion - exponential laws
• time movements, life cycles
Scatter - quantity/yield distribution
• Bradford’s law
 Various distributions
• by subject, language, country
12
Variable: Contents
Analysis of texts
• distribution of words – Zipf’s law
• words, phrases in various parts
• subject analysis, classification
• co-word analysis
13
Variable: Representation
frequency of use of index terms,
classes
distribution laws - key terms
where?
thesaurus structure
14
Variable: citations
Studied a lot; many pragmatic results
• base for citation indexes, web of science, impact
factors, co-citation studies etc.
Derived:
• number of references in articles
• number of citations to articles
oresearch front; citation classics
• bibliographic coupling
15
Laws & methods
Lotka’s law
Bradford’s law
Zipf’s law
16
Alfred J. Lotka 1926
• Statistics—the frequency distribution of scientific
productivity
Purpose: to "determine, if possible, the part which
men of different caliber contribute to the
progress of science“
– Looked at Chemical Abstracts Index, then Geschichtstafeln
der Physik
• J. Washington Acad. Sci. 16:317-325
17
Lotka’s law: xn • y = C
The total number of authors y in a given subject, each
producing x publications, is inversely proportional to
some exponential function n of x.
• Where:
– x = number of publications
– y = no. of authors credited with x
publications
– n = constant (equals 2 for scientific
subjects)
– C = constant
• inverse square law of scientific productivity
18
Lotka's Law - scientific publications
xn • y = C
No.ofauthors
19
Samuel Clement Bradford 1934
 Distribution of quantity vs yield of sources of information on
specific subjects
• he studied journals as sources, but applicable to other
• what journals produce how many articles in a subject and how are
they distributed? or
• How are articles in a subject scattered across journals?
 Purpose: to develop a method for identification of the most
productive journals in a subject & deal with what he called
“documentary chaos”
First published in: Engineering (1934) 137:85-86, then in his book
Documentation, (1948)
20
Bradford’s law
"If scientific journals are arranged in order of
decreasing productivity of articles on a given
subject, they may be divided into a nucleus of
periodicals more particularly devoted to the
subject and several groups or zones containing
the same number of articles as the nucleus,
when the numbers of periodicals in the nucleus
and succeeding zones will be as a : n : n2 : n3
…“
21
22
Bradford’s law: f(x)=a+b log x
• Were
f(x) = Total no. of references in first x most
productive journal
a & b = constant
It studies scattering of article on particular
topic over different journal
Bradford's Law of Scattering –
an idealized example
No. of
source journals
1
2
1
2
2
4
10
7
5
5
No. of articles
per source
60
35
30
25
9
8
6
5
4
3
Total no. of articles
60
70
30
50
18
32
60
35
20
15
3 130
9
27
130
130
23
Bradford's Law of Scattering – zones
3 sources
130 articles
9 sources
130 articles
27 sources
130 articles
nucleus
24
George Kingsley Zipf’s 1935
• The psycho-biology of language: an introduction to
dynamic philology (1935)
• Human behavior and the principle of least effort: An
introduction to human ecology (1949)
• Looked, among others, at frequency distributions of
words in given texts
– counted distribution in James Joyces’ Ulysses
• Provided an explanation as to why the found
distributions happen:
Also known as Principle of least effort
25
Zipf’s law: r • f = c
• Where:
r = rank (in terms of frequency)
f = frequency (no. of times the given word
is used in the text)
c = constant for the given text
• For a given text the rank of a word multiplied by
the frequency is a constant
• Works well for high frequency words, not so well
for low – thus a number of modifications
26
Scientometrics: Definition
It is the quantitative study of science
output or outcome in any form, not just
records or bibliographies. It comprises all
the metrics studies related to science
indicators, citation analyses, research
evaluation, etc.
27
 The measurement of science
– not the use of measurement in science
 The quantitative study of scientific
communications
 Using bibliometric methods
Scientometric
28
Scope….
 It is a field wherein the flow of information and
behavior of information are analyzed, measured and
quantitative relations are established
 It is a scientific field wherein the developments of
measurement of impact of information are accessed
continuously.
 Scientometrics mostly deals with analysis of science
data.
29
Topics deal with…..
 Growth and obsolescence of literature.
 Measures of scientific productivity (often referred to
as the author productivity).
 Quantitative aspects of library and information
studies, including journal productivity, rank
distribution of words, etc.
 Co-citation, bibliographic coupling, co-word analysis,
etc.
 Identifying relations among various disciplines,
structure of subjects, national mapping of science, etc.
30
Scientometrics: Applications
 Documentation – where it can count the number of
journals that constitute the core, secondary sources
and periphery of a discipline by analyzing the quantity
of journals needed to cover 50% of the information in
a given area of science
 Science policy – where it provides indicators to
measure productivity and scientific quality, thereby
supplying a basis for evaluating and orienting R & D.
31
32
Citation analysis is the examination of the
frequency, patterns, and graphs of citations in
articles and books. It uses citations in scholarly
works to establish links to other works or other
researchers. Citation analysis is one of the most
widely used methods of bibliometrics. For
example, bibliographic coupling and co-citation
are association measures based on citation
analysis.
Citation Analysis: Definition
Using citations (footnotes) as the raw
data for bibliometric studies
Who footnotes whom/who is footnoted
by whom
Can be used to assess the influence of an
individual on a field of study
Citation Analysis
33
 Citing behavior is little understood
 Citer motivations are little acknowledged
 Matthew Effect (Robert K. Merton)
– "To him who has shall be given, and he
shall have abundance: but from him who does
not have, even that which he has shall be taken
away.”
 Obliteration by incorporation
Problems in Citation Analysis
34
Content Analysis
35
• Content analysis is considered a scholarly method
in the humanities by which texts are studied as to
authorship, authenticity, or meaning.
• Content analysis to explore the content of various
media (book, journals, web resources, etc.) in order
to discover how particular issues are presented.
• Content analysis is a summarizing, quantitative
analysis of messages that relies on the scientific
method and is not limited as to the types of
variables that may be measured or the context in
which the messages are created or presented
What Analysis?
A technique that enables researchers to study
human behavior in an indirect way
– through an analysis of their communications
The analysis of the
– Written contents of a communication.
– Examples?
– Review resumes from job applicants
36
Steps for Conducting CA
 Define terms
– Knowledge
construction,
socializing, presence
 Specify unit and
analysis
– Words, sentences,
phrases, paintings,
audio, video
 Find data and
sampling
 Generate coding
scheme
 Inter rater reliability
 Analyze!!!
37
Let’s look at examples
 Corporate Blog study
 Blog study: collaboration
 Socialization online study
 Let’s code together!
• Choose one entry from one of the
class blogs
• Copy-paste to Word and then Code it
together
38
Types Of Content Analysis
Quantitative Content Analysis
Qualitative Analysis
Computerized Content Analysis
39
Quantitative Content Analysis
Identify
categories
Count
frequencies of
word occurrence
& run statistical
analysis
 The frequency
of occurrence
of “people”
and “taxes” in
this campaign
speech
40
Qualitative Analysis
 Content Analysis
 Identifying, Coding, Categorizing the primary patterns in the
data
• Interaction styles in online discussion:
• Complexity of response
• Question type
• Levels of argumentation & negotiation
• Socializing
• Coding Scheme
 Creates a scheme which clusters words and phrases into
conceptual categories for purposes of counting
41
Computerized Content Analysis
Adolescent Writings of Napoleon
Bonaparte
Analysis of verbal behavior
• scores on scales for on depression, anxiety, &
preoccupation with sickness
• coincide with the available
biographical evidence (childhood)
42
Unit of Analysis?
 Words
 Phrases
 Sentences
 Paragraphs
 Blog entries
 Video segments
 Picture
43
1. Bibliometric and scientometric . (2006). Retrieved from
http://edweb.sdsu.edu/courses/edtec296/
2. Content Analysis. (2010). Retrieved from
http://amandaklein.blogspot.com/
3. Scientometric to webometrics. (2010). Retrieved from uni-
mysore.ac.in/Asc/2010%20TO%202011/RC/.../mysore2011-
1.ppt
4. Citation Analysis. (2011). Retrieved from
boballen.info/ISS/PPT/ISSchp09.pptx
5. Content analysis. (2008). Retrieved from
http://en.wikipedia.org/wiki/Content_analysis
References
44
45

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Bibliometrics, Scintometrics, Citation analysis, Content analysis

  • 1.  BIBLIOMETRICS  SCINTOMETRICS  CITATION ANALYSIS  CONTENT ANALYSIS Presented By Sumit Ranjan Junior Research Fellow Dept. Of Library & Information Science (SIST) BBAU, LUCKNOW PRESENTATION TOPICS
  • 2. What is Bibliometrics?Bibliometrics literally means "book measurement" but the term is used about all kinds of documents (with journal articles as the dominant kind of document). What is measured are not the physical properties of documents but statistical patterns in variables such as authorship, sources, subjects, geographical origins, and citations. Bibliometrics is defined as “the study of quantitative aspects of the production, dissemination and use of recorded information”. Herubel5 explained bibliometrics as “as a quantitative analysis of publications for the purpose of ascertaining specific kind of phenomenon”. • “… all studies which seek to quantify processes of written communication.” Pritchard • “… the quantitative treatment of the propertied of recorded discourse and behavior pertaining to it.” Fairthorne • Recorded communication - ‘literature’-> quantitative methods 2
  • 3. Alan Pritchard 1969  Coined the term “Bibliometrics“ in a paper “Statistical bibliography or Bibliometrics” published in the Journal of Documentation (1969) "the application of mathematics and statistical methods to books and other media of communication“ Journal of Documentation (1969) 25(4):348-349 quantitative methods 3
  • 4.  Also used to study broader than books, articles …  Scientometrics • covering science in general, not just publications  Infometrics • all information objects  Webometrics or cybermetrics • web connections, manifestations • using bibliometric techniques to study the relationship or properties of different sites on the web and other related metrics … 4
  • 5. Reasons for quantitative studies of literature Analysis of structure and dynamics • search for regularities - predictions possible Understanding of patterns • “order out of documentary chaos” • verification of models, assumptions Rationale for policies & design 5
  • 6. Application of Bibliometrics  To identify research trends and growth of knowledge.  To estimate comprehensiveness of secondary periodicals.  Library selection, weeding, policies  Information organization  Information management  To identify users of different subjects.  To identify authorship and its trends in documents on various subjects.  To forecast past, present and future publishing trends.  To predict productivity of publishers, individual authors, organizations and countries. 6
  • 7. What Studied? Governed by data available in documents or information resources in general - that what can be counted author(s) origin •organization, country, language source •journal, publisher, patent … 7
  • 8. What … more contents • text, parts of text, subject, classes representation citations • to a document, in a document, co-citation utilization • circulation, various uses links any other quantifiable attribute 8
  • 9. Tools  Science Citation Index  Compilation of variables from journals in a subject  Use data  Publication counts from indexes, or other data bases  Web structures, links 9
  • 10. Variable: Authors number in a subject, field, institution, country growth correlation with indicators like GNP, energy etc. productivity e.g. Lotka’s law collaboration - co-authorship, associated networks dynamics - productive life, epidemics papers/author in a subject mapping 10
  • 11. Variable: Origin Rates of production, size, growth by • country, institution, language, subject Comparison between these Correlation with economic & other indicators 11
  • 12. Variable: Sources Concentration most often on journals Growth, dynamics, numbers • information explosion - exponential laws • time movements, life cycles Scatter - quantity/yield distribution • Bradford’s law  Various distributions • by subject, language, country 12
  • 13. Variable: Contents Analysis of texts • distribution of words – Zipf’s law • words, phrases in various parts • subject analysis, classification • co-word analysis 13
  • 14. Variable: Representation frequency of use of index terms, classes distribution laws - key terms where? thesaurus structure 14
  • 15. Variable: citations Studied a lot; many pragmatic results • base for citation indexes, web of science, impact factors, co-citation studies etc. Derived: • number of references in articles • number of citations to articles oresearch front; citation classics • bibliographic coupling 15
  • 16. Laws & methods Lotka’s law Bradford’s law Zipf’s law 16
  • 17. Alfred J. Lotka 1926 • Statistics—the frequency distribution of scientific productivity Purpose: to "determine, if possible, the part which men of different caliber contribute to the progress of science“ – Looked at Chemical Abstracts Index, then Geschichtstafeln der Physik • J. Washington Acad. Sci. 16:317-325 17
  • 18. Lotka’s law: xn • y = C The total number of authors y in a given subject, each producing x publications, is inversely proportional to some exponential function n of x. • Where: – x = number of publications – y = no. of authors credited with x publications – n = constant (equals 2 for scientific subjects) – C = constant • inverse square law of scientific productivity 18
  • 19. Lotka's Law - scientific publications xn • y = C No.ofauthors 19
  • 20. Samuel Clement Bradford 1934  Distribution of quantity vs yield of sources of information on specific subjects • he studied journals as sources, but applicable to other • what journals produce how many articles in a subject and how are they distributed? or • How are articles in a subject scattered across journals?  Purpose: to develop a method for identification of the most productive journals in a subject & deal with what he called “documentary chaos” First published in: Engineering (1934) 137:85-86, then in his book Documentation, (1948) 20
  • 21. Bradford’s law "If scientific journals are arranged in order of decreasing productivity of articles on a given subject, they may be divided into a nucleus of periodicals more particularly devoted to the subject and several groups or zones containing the same number of articles as the nucleus, when the numbers of periodicals in the nucleus and succeeding zones will be as a : n : n2 : n3 …“ 21
  • 22. 22 Bradford’s law: f(x)=a+b log x • Were f(x) = Total no. of references in first x most productive journal a & b = constant It studies scattering of article on particular topic over different journal
  • 23. Bradford's Law of Scattering – an idealized example No. of source journals 1 2 1 2 2 4 10 7 5 5 No. of articles per source 60 35 30 25 9 8 6 5 4 3 Total no. of articles 60 70 30 50 18 32 60 35 20 15 3 130 9 27 130 130 23
  • 24. Bradford's Law of Scattering – zones 3 sources 130 articles 9 sources 130 articles 27 sources 130 articles nucleus 24
  • 25. George Kingsley Zipf’s 1935 • The psycho-biology of language: an introduction to dynamic philology (1935) • Human behavior and the principle of least effort: An introduction to human ecology (1949) • Looked, among others, at frequency distributions of words in given texts – counted distribution in James Joyces’ Ulysses • Provided an explanation as to why the found distributions happen: Also known as Principle of least effort 25
  • 26. Zipf’s law: r • f = c • Where: r = rank (in terms of frequency) f = frequency (no. of times the given word is used in the text) c = constant for the given text • For a given text the rank of a word multiplied by the frequency is a constant • Works well for high frequency words, not so well for low – thus a number of modifications 26
  • 27. Scientometrics: Definition It is the quantitative study of science output or outcome in any form, not just records or bibliographies. It comprises all the metrics studies related to science indicators, citation analyses, research evaluation, etc. 27
  • 28.  The measurement of science – not the use of measurement in science  The quantitative study of scientific communications  Using bibliometric methods Scientometric 28
  • 29. Scope….  It is a field wherein the flow of information and behavior of information are analyzed, measured and quantitative relations are established  It is a scientific field wherein the developments of measurement of impact of information are accessed continuously.  Scientometrics mostly deals with analysis of science data. 29
  • 30. Topics deal with…..  Growth and obsolescence of literature.  Measures of scientific productivity (often referred to as the author productivity).  Quantitative aspects of library and information studies, including journal productivity, rank distribution of words, etc.  Co-citation, bibliographic coupling, co-word analysis, etc.  Identifying relations among various disciplines, structure of subjects, national mapping of science, etc. 30
  • 31. Scientometrics: Applications  Documentation – where it can count the number of journals that constitute the core, secondary sources and periphery of a discipline by analyzing the quantity of journals needed to cover 50% of the information in a given area of science  Science policy – where it provides indicators to measure productivity and scientific quality, thereby supplying a basis for evaluating and orienting R & D. 31
  • 32. 32 Citation analysis is the examination of the frequency, patterns, and graphs of citations in articles and books. It uses citations in scholarly works to establish links to other works or other researchers. Citation analysis is one of the most widely used methods of bibliometrics. For example, bibliographic coupling and co-citation are association measures based on citation analysis. Citation Analysis: Definition
  • 33. Using citations (footnotes) as the raw data for bibliometric studies Who footnotes whom/who is footnoted by whom Can be used to assess the influence of an individual on a field of study Citation Analysis 33
  • 34.  Citing behavior is little understood  Citer motivations are little acknowledged  Matthew Effect (Robert K. Merton) – "To him who has shall be given, and he shall have abundance: but from him who does not have, even that which he has shall be taken away.”  Obliteration by incorporation Problems in Citation Analysis 34
  • 35. Content Analysis 35 • Content analysis is considered a scholarly method in the humanities by which texts are studied as to authorship, authenticity, or meaning. • Content analysis to explore the content of various media (book, journals, web resources, etc.) in order to discover how particular issues are presented. • Content analysis is a summarizing, quantitative analysis of messages that relies on the scientific method and is not limited as to the types of variables that may be measured or the context in which the messages are created or presented
  • 36. What Analysis? A technique that enables researchers to study human behavior in an indirect way – through an analysis of their communications The analysis of the – Written contents of a communication. – Examples? – Review resumes from job applicants 36
  • 37. Steps for Conducting CA  Define terms – Knowledge construction, socializing, presence  Specify unit and analysis – Words, sentences, phrases, paintings, audio, video  Find data and sampling  Generate coding scheme  Inter rater reliability  Analyze!!! 37
  • 38. Let’s look at examples  Corporate Blog study  Blog study: collaboration  Socialization online study  Let’s code together! • Choose one entry from one of the class blogs • Copy-paste to Word and then Code it together 38
  • 39. Types Of Content Analysis Quantitative Content Analysis Qualitative Analysis Computerized Content Analysis 39
  • 40. Quantitative Content Analysis Identify categories Count frequencies of word occurrence & run statistical analysis  The frequency of occurrence of “people” and “taxes” in this campaign speech 40
  • 41. Qualitative Analysis  Content Analysis  Identifying, Coding, Categorizing the primary patterns in the data • Interaction styles in online discussion: • Complexity of response • Question type • Levels of argumentation & negotiation • Socializing • Coding Scheme  Creates a scheme which clusters words and phrases into conceptual categories for purposes of counting 41
  • 42. Computerized Content Analysis Adolescent Writings of Napoleon Bonaparte Analysis of verbal behavior • scores on scales for on depression, anxiety, & preoccupation with sickness • coincide with the available biographical evidence (childhood) 42
  • 43. Unit of Analysis?  Words  Phrases  Sentences  Paragraphs  Blog entries  Video segments  Picture 43
  • 44. 1. Bibliometric and scientometric . (2006). Retrieved from http://edweb.sdsu.edu/courses/edtec296/ 2. Content Analysis. (2010). Retrieved from http://amandaklein.blogspot.com/ 3. Scientometric to webometrics. (2010). Retrieved from uni- mysore.ac.in/Asc/2010%20TO%202011/RC/.../mysore2011- 1.ppt 4. Citation Analysis. (2011). Retrieved from boballen.info/ISS/PPT/ISSchp09.pptx 5. Content analysis. (2008). Retrieved from http://en.wikipedia.org/wiki/Content_analysis References 44
  • 45. 45

Editor's Notes

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