SlideShare uma empresa Scribd logo
1 de 29
BIBLIOMETRICS
and
BIBLIOMETRIC LAWS
School of Library and Information Science
Devi Ahilya University Indore (MP)
Submitted To:-
Dr. G.H.S. Naidu
HOD, School of LIS
UTD,DAVV , Indore
Submitted By:-
D.P. Kushwah
Roll No.M.Phil-04
DAVV , Indore
Contents
 Introduction to the term “Bibliometrics”
 Origin of the term “Bibliometrics”
 Definitions
 Objectives
 Scope
 Why Bibliometrics
 Applications of Bibliometrics
 Bibliometrics Laws
 Lotka’s Law
 Bradford’s law
 Zipf’s Law
 Conclusion
Introduction to the term "Bibliometrics”
Origin of the term “Bibliometrics”
Biblio + Metrics = Bibliometrics
“Biblio” is originated from Greek word
“Biblion” which means “Book” or “Paper”
“Metrics” is originated from Greek or Latin
word “Metricus” or “Metrikos” which
means the science of Meter or to measure
Continued ….
Continued 1….
 Bibliometrics is a set of methods used to study
or measure texts and information. Citation
analysis and content analysis are commonly
used in Bibliometrics methods. While
Bibliometrics methods are most often used in
the field of library and information science.
 Bibliometrics uses mathematical and statistical
methods to analyse and measure the output of
publications. Modern Bibliometrics has been
largely inspired by Derek de Solla Price and the
seminal work was carried out by him in the
middle of the last century.
Origin Of the term Bibliometrics
The term “Bibliometrics” by Pritchard and
“Scientometrics” by Nalimov and
Mulchenko have been introduced almost
simultaneously in 1969. While Pritchard
explained the term Bibliometrics as "the
application of mathematical and statistical
methods to Bibliographic information of
books and other media of communication”.
Continued ….
Nalimov and Mulchenko defined
Scientometrics as "the application of those
quantitative methods which are dealing
with the analysis of science viewed as an
information process" (Nalimov and
Mulchenko, 1969). According to these
interpretations, Scientometrics is restricted
to the measurement of science
communication, whereas Bibliometrics is
designed to deal with more general
information processes.
Continued 1….
Definitions
According to Potter :- “The Study and
measurement of Publication patterns of all forms
of written communication and their authorship”.
According to Alan Pritchard :- “Studies which
seek to quantify the process of written
communication”.
According to Alvin M. Schrader :- “Scientific
study of recorded discourses”.
Objectives
 Analysis of Information Transfer Process and
Control on.
 To tell about the structure of Knowledge and
its transmission.
 The rendering of reliable statistics.
 The definition of the delimitation of the
subject.
 Understanding of specific reading habits.
 To point out the inherent relevant importance
of Several types of documents in the various
disciplines.
Scope
 Identification of the main journals.
 Ranking of journals.
 Selection magazines.
 Sort of magazines.
 Make known to the mutual influence of
magazines.
 Development and expansion of knowledge in
various fields,
 An institution, contribute to the scientific
progress of the nation or individual,
Continued ….
 Research methodology in making.
 Duties of different themes and readers in
identifying documents.
 Documentation in a specific area to detect
progress.
 The same theme order creating a list of
scientists and information specialists.
 Measuring the usefulness of information
services,
 Formulation of principles for standardization.
Continued 1….
Why Bibliometrics
 To identify which areas are most active and
which are becoming important.
 Identify the influences & “cross fertilizations”.
 Useful to the policy makers who are deciding
the priority areas in a certain research domain.
Applications 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.
BIBLIOMETRIC LAWS
Lotka’s Law (1926)
Bradford’s Law (1934)
Zipf’s Law (1935)
Lotka’s Law (1926)
The Frequency Distribution of
Scientific Productivity
“It would be of interest to determine, if
possible, the part which men of different
caliber contribute to the progress of science
considering first simple volume of
production.
Alfred J. Lotka.
Lotka’s law: xn • y = C
Xnœ1/y
xn = c1/y
C=xn y
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
Lotka’s Law
The number of authors making n
contributions to the literature is about
1/n2 of those making one
– 60% of authors make one contribution
– 15% of authors make two contributions
– <7% of authors make three contributions
– <4% of authors make four contributions
– <2.5% of authors make five contributions
– 1.25% of authors make six contributions
– <1% of authors make seven contributions
Lotka’s Law Example :
Out of 1000 authors
– 608 publish 1 article
– 152 publish 2 articles
– 68 publish 3 articles
– 38 publish 4 articles
– 24 publish 5 articles
– 17 publish 6 articles
– 12 publish 7 articles
Not exact prediction but holds true
overall in most fields
Bradford’s Law (1934)
"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 n : n2 : n3.
Samual.Climent Bradford
© Tefko Saracevic 19
Bradford's Law of Scattering – zones
3 sources
130 articles
9 sources
130 articles
27 sources
130 articles Garfield hypothesis
nucleus
Bradford’s Law of Scattering
In any field of interest, relevant journals
can be split into three groups
Each group contributes the same number
of relevant articles to citations in the field
# of 1st group journals = k
3 sources = 130 articles
# of 2nd group journals = k*n
9 sources = 130 articles
# of 3rd group journals = k*n2
27 sources = 130 articles
© Tefko Saracevic 21
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
9
27
130
130
1303
© Tefko Saracevic 22
Zipf’s law(1935) : r • f = c
Rœ1/f
R= c1/f
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
George Kingsley Zipf
Zipf’s Law of term distribution
 In a document of ca. 10,000 words the
most frequently used word is “the” at 950
Times.
 the 2nd most frequently used word is “a”
at 490 Times.
 the 3rd most frequently used term is “in”
at 340 Times.
 the 1000th most frequently used term is
“fruit” at 1 time.
Zipf’s Law of term distribution
Frequency x occurrences = constant
1 x 950 = 950
2 x 490 = 980
3 x 340 = 1020
1000 x 1 = 1000
Constant = 1000 for this document
Conclusion
As conclusion we can say that, Bibliometrics is a major
sub-discipline of quantitative research. This is a tool used by
the library and information science professionals for studying
the communication processes, information flows, and for
better understanding and effective management and
dissemination of information. Bibliometrics techniques are
being used for a variety of purposes like determination of
various scientific indicators, valuation of scientific output,
selection of journals for libraries and even forecasting the
potential of a particular field.
Continued…
Continued 1….
It is effective for, measuring the scattering of
articles on a subject in various periodicals (Bradford),
measuring the productivity of an author based on the
number of published articles. (Lotka), Ranking of words
in a text based on frequency of occurrence of words.
(Zipf), Productivity count of a literature, identifying the
peers, social change and the core journals etc. (Citation
Analysis), Bibliographic control, Preparation of
retrospective bibliography and better Library
Management. Hence We can conclude that, There is an
important role of Bibliometrics and Bibliometrics Laws
in the field of Library and Information Science.
Reference
 Google search-https://www.google.com
 Notes of related subject Teacher Mr. Ritesh Tiwari
 Use of journals.
 Study Materials.
 Sharma,A.K. Research Methodology and Information
Technology.New Delhi : Ess Ess Publication p 162-69
 BROOKES, B.C., Biblio-, sciento-, infor-metrics???
What are we talking about, In: L. Egghe, R. Rousseau
(Eds.), Informetrics 89/90, Elsevier Science Publishers
B.V., 1990, 31-43
BIBLIOMETRICS LAWS
BIBLIOMETRICS LAWS

Mais conteúdo relacionado

Mais procurados

National social science documentation centre (nassdoc )
National social science documentation centre (nassdoc )National social science documentation centre (nassdoc )
National social science documentation centre (nassdoc )
GordonAmidu
 
Current awareness service a contemporary issue in digital era - anil mishra
Current awareness service    a contemporary issue in digital era - anil mishraCurrent awareness service    a contemporary issue in digital era - anil mishra
Current awareness service a contemporary issue in digital era - anil mishra
Anil Mishra
 
Current trends in library science research
Current trends in library science researchCurrent trends in library science research
Current trends in library science research
VISHNUMAYA R S
 
Relationship of information science with library science
Relationship of information science with library scienceRelationship of information science with library science
Relationship of information science with library science
Sadaf Batool
 
Chain indexing
Chain indexingChain indexing
Chain indexing
silambu111
 

Mais procurados (20)

Webometrics
WebometricsWebometrics
Webometrics
 
ISBD
ISBDISBD
ISBD
 
IATLIS.pptx
IATLIS.pptxIATLIS.pptx
IATLIS.pptx
 
National social science documentation centre (nassdoc )
National social science documentation centre (nassdoc )National social science documentation centre (nassdoc )
National social science documentation centre (nassdoc )
 
Current awareness service a contemporary issue in digital era - anil mishra
Current awareness service    a contemporary issue in digital era - anil mishraCurrent awareness service    a contemporary issue in digital era - anil mishra
Current awareness service a contemporary issue in digital era - anil mishra
 
bibliometrics
bibliometricsbibliometrics
bibliometrics
 
Areas of automation in library
Areas of automation in libraryAreas of automation in library
Areas of automation in library
 
Inis ppt
Inis pptInis ppt
Inis ppt
 
Current trends in library science research
Current trends in library science researchCurrent trends in library science research
Current trends in library science research
 
Universal Bibliographic Control and Universal Availability of Publications (U...
Universal Bibliographic Control and Universal Availability of Publications (U...Universal Bibliographic Control and Universal Availability of Publications (U...
Universal Bibliographic Control and Universal Availability of Publications (U...
 
Canon of classification
Canon of classificationCanon of classification
Canon of classification
 
Relationship of information science with library science
Relationship of information science with library scienceRelationship of information science with library science
Relationship of information science with library science
 
Collection development
Collection developmentCollection development
Collection development
 
Library Automation in Circulation
Library Automation in Circulation Library Automation in Circulation
Library Automation in Circulation
 
Common communication format
Common communication formatCommon communication format
Common communication format
 
CILIP.pptx
CILIP.pptxCILIP.pptx
CILIP.pptx
 
Web scale discovery service
Web scale discovery serviceWeb scale discovery service
Web scale discovery service
 
Chain indexing
Chain indexingChain indexing
Chain indexing
 
Ifla
IflaIfla
Ifla
 
Modes of formation of subject
Modes of formation of subjectModes of formation of subject
Modes of formation of subject
 

Destaque

Bibliometrics, Scintometrics, Citation analysis, Content analysis
Bibliometrics, Scintometrics, Citation analysis, Content analysisBibliometrics, Scintometrics, Citation analysis, Content analysis
Bibliometrics, Scintometrics, Citation analysis, Content analysis
Sumit Ranjan
 
Scientometric Analysis
Scientometric AnalysisScientometric Analysis
Scientometric Analysis
sumitbanshal
 
Peer Reviewed Articles
Peer Reviewed ArticlesPeer Reviewed Articles
Peer Reviewed Articles
AshfordLibrary
 
Evaluating Web Resources
Evaluating Web ResourcesEvaluating Web Resources
Evaluating Web Resources
AshfordLibrary
 
Bibliometrics in the library
Bibliometrics in the libraryBibliometrics in the library
Bibliometrics in the library
Wouter Gerritsma
 
Zipf’s Law in Chess
Zipf’s Law in ChessZipf’s Law in Chess
Zipf’s Law in Chess
Sreenath Goud
 
Hci encyclopedia irshortefords
Hci encyclopedia irshortefordsHci encyclopedia irshortefords
Hci encyclopedia irshortefords
apollobgslibrary
 

Destaque (20)

Bibliometrics
BibliometricsBibliometrics
Bibliometrics
 
Bibliometrics, Scintometrics, Citation analysis, Content analysis
Bibliometrics, Scintometrics, Citation analysis, Content analysisBibliometrics, Scintometrics, Citation analysis, Content analysis
Bibliometrics, Scintometrics, Citation analysis, Content analysis
 
What is bibliometrics and how does it work?
What is bibliometrics and how does it work?What is bibliometrics and how does it work?
What is bibliometrics and how does it work?
 
Bibliometrics and scientometrics
Bibliometrics and scientometricsBibliometrics and scientometrics
Bibliometrics and scientometrics
 
Bibliographic coupling
Bibliographic couplingBibliographic coupling
Bibliographic coupling
 
Scientometric Analysis
Scientometric AnalysisScientometric Analysis
Scientometric Analysis
 
Bibliometrics 101
Bibliometrics 101  Bibliometrics 101
Bibliometrics 101
 
Using Bibliometrics in the Library
Using Bibliometrics in the LibraryUsing Bibliometrics in the Library
Using Bibliometrics in the Library
 
Peer Reviewed Articles
Peer Reviewed ArticlesPeer Reviewed Articles
Peer Reviewed Articles
 
Evaluating Web Resources
Evaluating Web ResourcesEvaluating Web Resources
Evaluating Web Resources
 
Project
ProjectProject
Project
 
Bibliometrics in the library
Bibliometrics in the libraryBibliometrics in the library
Bibliometrics in the library
 
Daily use of bibliometrics
Daily use of bibliometricsDaily use of bibliometrics
Daily use of bibliometrics
 
Zipf’s Law in Chess
Zipf’s Law in ChessZipf’s Law in Chess
Zipf’s Law in Chess
 
Bibliometric Tools
Bibliometric ToolsBibliometric Tools
Bibliometric Tools
 
Hci encyclopedia irshortefords
Hci encyclopedia irshortefordsHci encyclopedia irshortefords
Hci encyclopedia irshortefords
 
Bibliometrics Primer
Bibliometrics PrimerBibliometrics Primer
Bibliometrics Primer
 
Altmetrics
AltmetricsAltmetrics
Altmetrics
 
Rodrigo Costas & Stefanie Haustein: Citation theories and their application t...
Rodrigo Costas & Stefanie Haustein: Citation theories and their application t...Rodrigo Costas & Stefanie Haustein: Citation theories and their application t...
Rodrigo Costas & Stefanie Haustein: Citation theories and their application t...
 
Citation analysis: State of the art, good practices, and future developments
Citation analysis: State of the art, good practices, and future developmentsCitation analysis: State of the art, good practices, and future developments
Citation analysis: State of the art, good practices, and future developments
 

Semelhante a BIBLIOMETRICS LAWS

Semelhante a BIBLIOMETRICS LAWS (20)

Bibliometric study
Bibliometric studyBibliometric study
Bibliometric study
 
Research Methodology
Research Methodology Research Methodology
Research Methodology
 
Application of Bradford s Law of Scattering to the Literature of Library In...
Application of Bradford s Law of Scattering to the Literature of Library   In...Application of Bradford s Law of Scattering to the Literature of Library   In...
Application of Bradford s Law of Scattering to the Literature of Library In...
 
Micro-Teaching on RESEARCH METRICS in the Refresher Course on Digital Transf...
Micro-Teaching onRESEARCH METRICS in  the Refresher Course on Digital Transf...Micro-Teaching onRESEARCH METRICS in  the Refresher Course on Digital Transf...
Micro-Teaching on RESEARCH METRICS in the Refresher Course on Digital Transf...
 
Scientometric Mapping of Library and Information Science in Web of Science
Scientometric Mapping of Library and Information Science in Web of Science Scientometric Mapping of Library and Information Science in Web of Science
Scientometric Mapping of Library and Information Science in Web of Science
 
Relating Research and Practice in Information Literacy
Relating Research and Practice in Information LiteracyRelating Research and Practice in Information Literacy
Relating Research and Practice in Information Literacy
 
Jayroe Bibliometrics for Dummies 2008
Jayroe Bibliometrics for Dummies 2008Jayroe Bibliometrics for Dummies 2008
Jayroe Bibliometrics for Dummies 2008
 
Information Sources and Services
Information Sources and ServicesInformation Sources and Services
Information Sources and Services
 
bibliometrics
bibliometricsbibliometrics
bibliometrics
 
Print source literature 24 March 2023.pptx
Print source literature 24 March 2023.pptxPrint source literature 24 March 2023.pptx
Print source literature 24 March 2023.pptx
 
Scientometrics
Scientometrics Scientometrics
Scientometrics
 
Scientometrics class
Scientometrics classScientometrics class
Scientometrics class
 
Review of Literature
 Review of Literature Review of Literature
Review of Literature
 
بنك المعرفة-المصرى
بنك المعرفة-المصرىبنك المعرفة-المصرى
بنك المعرفة-المصرى
 
Biomedical engineering-tutorial-spring-2012
Biomedical engineering-tutorial-spring-2012Biomedical engineering-tutorial-spring-2012
Biomedical engineering-tutorial-spring-2012
 
Scientific Communication and article publicitar: new challenges in Brazil
Scientific Communication and article publicitar: new challenges in BrazilScientific Communication and article publicitar: new challenges in Brazil
Scientific Communication and article publicitar: new challenges in Brazil
 
Biomedical Engineering Tutorial Spring 2010
Biomedical Engineering Tutorial Spring 2010Biomedical Engineering Tutorial Spring 2010
Biomedical Engineering Tutorial Spring 2010
 
بنك المعرفة المصرى Egyptian knowledge bank
بنك المعرفة المصرى  Egyptian knowledge bankبنك المعرفة المصرى  Egyptian knowledge bank
بنك المعرفة المصرى Egyptian knowledge bank
 
Transportation spring-2012
Transportation spring-2012Transportation spring-2012
Transportation spring-2012
 
Model_B106_Project work_Prelims.edited.docx
Model_B106_Project work_Prelims.edited.docxModel_B106_Project work_Prelims.edited.docx
Model_B106_Project work_Prelims.edited.docx
 

Último

Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
MohamedFarag457087
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and Classifications
Areesha Ahmad
 
Pests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdf
PirithiRaju
 
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Sérgio Sacani
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
seri bangash
 

Último (20)

GBSN - Microbiology (Unit 3)
GBSN - Microbiology (Unit 3)GBSN - Microbiology (Unit 3)
GBSN - Microbiology (Unit 3)
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai YoungDubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
 
High Profile 🔝 8250077686 📞 Call Girls Service in GTB Nagar🍑
High Profile 🔝 8250077686 📞 Call Girls Service in GTB Nagar🍑High Profile 🔝 8250077686 📞 Call Girls Service in GTB Nagar🍑
High Profile 🔝 8250077686 📞 Call Girls Service in GTB Nagar🍑
 
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)
 
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verifiedSector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
 
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and Classifications
 
Pests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdf
 
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxCOST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .
 
Grade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its FunctionsGrade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its Functions
 
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptxPSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)
 
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
 
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
 

BIBLIOMETRICS LAWS

  • 1. BIBLIOMETRICS and BIBLIOMETRIC LAWS School of Library and Information Science Devi Ahilya University Indore (MP) Submitted To:- Dr. G.H.S. Naidu HOD, School of LIS UTD,DAVV , Indore Submitted By:- D.P. Kushwah Roll No.M.Phil-04 DAVV , Indore
  • 2. Contents  Introduction to the term “Bibliometrics”  Origin of the term “Bibliometrics”  Definitions  Objectives  Scope  Why Bibliometrics  Applications of Bibliometrics  Bibliometrics Laws  Lotka’s Law  Bradford’s law  Zipf’s Law  Conclusion
  • 3. Introduction to the term "Bibliometrics” Origin of the term “Bibliometrics” Biblio + Metrics = Bibliometrics “Biblio” is originated from Greek word “Biblion” which means “Book” or “Paper” “Metrics” is originated from Greek or Latin word “Metricus” or “Metrikos” which means the science of Meter or to measure Continued ….
  • 4. Continued 1….  Bibliometrics is a set of methods used to study or measure texts and information. Citation analysis and content analysis are commonly used in Bibliometrics methods. While Bibliometrics methods are most often used in the field of library and information science.  Bibliometrics uses mathematical and statistical methods to analyse and measure the output of publications. Modern Bibliometrics has been largely inspired by Derek de Solla Price and the seminal work was carried out by him in the middle of the last century.
  • 5. Origin Of the term Bibliometrics The term “Bibliometrics” by Pritchard and “Scientometrics” by Nalimov and Mulchenko have been introduced almost simultaneously in 1969. While Pritchard explained the term Bibliometrics as "the application of mathematical and statistical methods to Bibliographic information of books and other media of communication”. Continued ….
  • 6. Nalimov and Mulchenko defined Scientometrics as "the application of those quantitative methods which are dealing with the analysis of science viewed as an information process" (Nalimov and Mulchenko, 1969). According to these interpretations, Scientometrics is restricted to the measurement of science communication, whereas Bibliometrics is designed to deal with more general information processes. Continued 1….
  • 7. Definitions According to Potter :- “The Study and measurement of Publication patterns of all forms of written communication and their authorship”. According to Alan Pritchard :- “Studies which seek to quantify the process of written communication”. According to Alvin M. Schrader :- “Scientific study of recorded discourses”.
  • 8. Objectives  Analysis of Information Transfer Process and Control on.  To tell about the structure of Knowledge and its transmission.  The rendering of reliable statistics.  The definition of the delimitation of the subject.  Understanding of specific reading habits.  To point out the inherent relevant importance of Several types of documents in the various disciplines.
  • 9. Scope  Identification of the main journals.  Ranking of journals.  Selection magazines.  Sort of magazines.  Make known to the mutual influence of magazines.  Development and expansion of knowledge in various fields,  An institution, contribute to the scientific progress of the nation or individual, Continued ….
  • 10.  Research methodology in making.  Duties of different themes and readers in identifying documents.  Documentation in a specific area to detect progress.  The same theme order creating a list of scientists and information specialists.  Measuring the usefulness of information services,  Formulation of principles for standardization. Continued 1….
  • 11. Why Bibliometrics  To identify which areas are most active and which are becoming important.  Identify the influences & “cross fertilizations”.  Useful to the policy makers who are deciding the priority areas in a certain research domain.
  • 12. Applications 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.
  • 13. BIBLIOMETRIC LAWS Lotka’s Law (1926) Bradford’s Law (1934) Zipf’s Law (1935)
  • 14. Lotka’s Law (1926) The Frequency Distribution of Scientific Productivity “It would be of interest to determine, if possible, the part which men of different caliber contribute to the progress of science considering first simple volume of production. Alfred J. Lotka.
  • 15. Lotka’s law: xn • y = C Xnœ1/y xn = c1/y C=xn y 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
  • 16. Lotka’s Law The number of authors making n contributions to the literature is about 1/n2 of those making one – 60% of authors make one contribution – 15% of authors make two contributions – <7% of authors make three contributions – <4% of authors make four contributions – <2.5% of authors make five contributions – 1.25% of authors make six contributions – <1% of authors make seven contributions
  • 17. Lotka’s Law Example : Out of 1000 authors – 608 publish 1 article – 152 publish 2 articles – 68 publish 3 articles – 38 publish 4 articles – 24 publish 5 articles – 17 publish 6 articles – 12 publish 7 articles Not exact prediction but holds true overall in most fields
  • 18. Bradford’s Law (1934) "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 n : n2 : n3. Samual.Climent Bradford
  • 19. © Tefko Saracevic 19 Bradford's Law of Scattering – zones 3 sources 130 articles 9 sources 130 articles 27 sources 130 articles Garfield hypothesis nucleus
  • 20. Bradford’s Law of Scattering In any field of interest, relevant journals can be split into three groups Each group contributes the same number of relevant articles to citations in the field # of 1st group journals = k 3 sources = 130 articles # of 2nd group journals = k*n 9 sources = 130 articles # of 3rd group journals = k*n2 27 sources = 130 articles
  • 21. © Tefko Saracevic 21 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 9 27 130 130 1303
  • 22. © Tefko Saracevic 22 Zipf’s law(1935) : r • f = c Rœ1/f R= c1/f 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 George Kingsley Zipf
  • 23. Zipf’s Law of term distribution  In a document of ca. 10,000 words the most frequently used word is “the” at 950 Times.  the 2nd most frequently used word is “a” at 490 Times.  the 3rd most frequently used term is “in” at 340 Times.  the 1000th most frequently used term is “fruit” at 1 time.
  • 24. Zipf’s Law of term distribution Frequency x occurrences = constant 1 x 950 = 950 2 x 490 = 980 3 x 340 = 1020 1000 x 1 = 1000 Constant = 1000 for this document
  • 25. Conclusion As conclusion we can say that, Bibliometrics is a major sub-discipline of quantitative research. This is a tool used by the library and information science professionals for studying the communication processes, information flows, and for better understanding and effective management and dissemination of information. Bibliometrics techniques are being used for a variety of purposes like determination of various scientific indicators, valuation of scientific output, selection of journals for libraries and even forecasting the potential of a particular field. Continued…
  • 26. Continued 1…. It is effective for, measuring the scattering of articles on a subject in various periodicals (Bradford), measuring the productivity of an author based on the number of published articles. (Lotka), Ranking of words in a text based on frequency of occurrence of words. (Zipf), Productivity count of a literature, identifying the peers, social change and the core journals etc. (Citation Analysis), Bibliographic control, Preparation of retrospective bibliography and better Library Management. Hence We can conclude that, There is an important role of Bibliometrics and Bibliometrics Laws in the field of Library and Information Science.
  • 27. Reference  Google search-https://www.google.com  Notes of related subject Teacher Mr. Ritesh Tiwari  Use of journals.  Study Materials.  Sharma,A.K. Research Methodology and Information Technology.New Delhi : Ess Ess Publication p 162-69  BROOKES, B.C., Biblio-, sciento-, infor-metrics??? What are we talking about, In: L. Egghe, R. Rousseau (Eds.), Informetrics 89/90, Elsevier Science Publishers B.V., 1990, 31-43

Notas do Editor

  1. 19
  2. 21
  3. 22