Knowledge Structure and Knowledge Mappping - Scientometric Mapping

1. Knowledge Structure
and Knowledge
Mappping -
Scientometric
Mapping

2. Table of Content
 Introduction of knowledge structure and knowledge mapping
 Introduction of ISSI organization
 Quantitative method of study
 Introduction of Informetrics
 Data sources for Informetrics
 Method system of Informetrics
 Scientometrics mapping
 VOSviewer software
 Relation between Informetrics and Scientometrics
 Iranian nanoscience technology case study
 Conclusion

3. KNOWLEDGE STRUCTURE
WHAT IS IT?
PURPOSES?
KNOWLEDGE MAPPING
WHAT IS IT?
PURPOSES?
OBJECTIVES?
According to research from the University of Ottawa, in
2009 we passed the 50 million mark in terms of the total
number of science papers published since 1665, and
approximately 2.5 million new scientific papers are
published each year.

4. The International Society for Scientometrics and Informetrics
was founded in 1993 in Berlin
Mission:
◦ to encourage communication and exchange of professional
knowledge or information in the field
of scientometrics and informetrics, to improve standards,
theory and practice in all areas of the discipline, to
stimulate research, education and training, and to enhance
the public perception of the discipline.
ISSI Organization

6. Informetrics
Informetric is the study of
quantitative aspect of
information. Includes the
production, dissemination,
and use of all forms of
information, regardless of
its form or origin.
Informetric applied to
•Library management
•science theory research
•Information analysis and forecast
•science evaluation
•Other social dicipline

7. Data Sources of
Informetrics
Science and
technology
book
Technology
periodical
Technology
report
Patent
documents
Degree thesis
Network data
Data Sources
of Informetrics

8. Method system
for Informetrics
Statistical
analysis
01
Mathematical
method
02
Citation analysis
03
Computer-aided
informetric
analysis method
04

9. SCIENTOMETRIC MAPPING

10. SCIENTOMETRIC
MAPPING
BACKGROUND
HOW IS TERM MAP CREATED?
INTERPRETATION OF TERM MAPS
WHAT IS INVOLVED
Background
◦ The mapping procedure captures very complex processes, using
clustering techniques
◦ easily analysed , and .dynamics
◦ help to understand how emergence of knowledge fields or technologies
happens.
How Map Created
◦ First we need to determine the journal, add keyword
◦ the tool performs an analysis of the words and phrases
◦ After a map is generated, remove uninformative terms
INTERPRETATION OF TERM MAPS
◦ The bubble represented the frequency of the term.
◦ the colour indicate the relationship of close cluster.
◦ Distance indicate the relatedness of the terms.
WHAT IS INVOLVED
First, a suitable focus and level of resolution needs to be determined for study.
Two broad approaches to scientometric mapping exist, called local maps and global
maps
The technology/subject/topic of interest also needs to be carefully and clearly
defined,
you need to know exactly what you are looking for and to recognise it when you
see it!
getting to know the databases you might search
that meet your specified search terms can then be combined for the data you want
Mapping can take different forms, and there are a type of free software out there
with which to do this, such as with vosviewer, citnetexplorer, Pajek and Gephi..

11. VOSVIEWER
• Software for for visualizing
scientometric map
• Buit support for bibliographic
databases
• Seb of science
• Scropus
• RIS
• Text mining functionality
• Layout and cluster techniques
• Advanced visualization features:
• Smart labeling alogarithm
• Overlay visualizations
• Density visualization
• Used by researcher (university,
publisher, funder, libraries).
• https://www.youtube.com/watc
h?v=eB14KoYYkyk

12. Relation
between
informetric and
scientometric
Both aim to explore the
internal relation among
scientific activities and
consider the characteristic on
the basic task in their research
• Informetrics and scientometric
cross with each other in large field
with regard to their research
content
• Similar in term of research object
and method

13. CASE STUDY – Iranian Nanoscience and
Technology
Nanoscience and
Technology (NST)
relative new
interdisciplinary.
There is ambiguity in
its structure, they tried
to draw large picture of
the knowledge domain
Traditional techniques
consume a lot of time
Develop new method
using text mining and
citation analysis
method
Co-word analysis get
key word
Ditch unimportant
words
Visualization of the
data multi-dimentional
scaling
As result Productivity
increase less research
time.

14. CONCLUSION
INFORMETRICS TAKES IMPORTANT ROLE IN
KNOWLEDGE STRUCTURE MANAGEMENT IT
CAN APPLIED TO ALMOST ANY SECTOR THAT
REQUIRED KNOWLEDGE SOURCE
MANAGEMENT, IT HELP TO INDENTIFY AND
SHOW THE RELETION BETWEEN OBJECT TO
PROVIDE EASIER, FASTER, AND EFFECTIVE
ACCESS TO KNOWLEDGE SOURCES. ALSO
IMPROVE COMMUNICATION AND
KNOWLEDGE EXCHANGE OF INFORMATION.
THE INVENTION OF INTERNET BOOST THE
DEVELOPMENT OF THE STUDY AND ALLOW
TOOLS FOR SCIENTOMETRIC MAPPING
METHOD ACCESSABLE MAKE SEARCH OF
INFORMATION ACTIVITY BECOME MORE
VISIBLE FOR EVERYONE NEEDED.

15. THANKYOU FORYOUR
ATTENTION