2. Content
What is Webometrics
Evolution of Webometrics
Definition of Webometrics
Web Structure
Main Areas of Webometric Study
Relationship between 5 Metric Sciences
Methodology and Syntax
Example
3. What is Webometrics
Quantitative Analysis
Tracking of Website
Evaluating of Search Engine
Link Analysis ( Internal and External Link)
4. Evolution of Webometrics
A range of new terms for the emerging research field were rapidly proposed from the
mid-1990s, for example,
Netometrics (Bossy, 1995);
Webometry (Abraham, 1996);
Internetmetrics (Almind & Ingwersen, 1996);
Webometrics (Almind & Ingwersen, 1997);
Cybermetrics (Journal started by Isidro Aguillo)
Webbibliometry (Chakrabarti 2002)
5. Definition of Webometrics
The study of the quantitative aspects of the construction and
use of information resources, structures and techonologies on
the Web drawing on bibliometric and informetric approaches
is called Webometrics. (by Bjorneborn and ingwersen 2004)
The study of Web based content With Primarily quantitative
Methods For social science research goals using techniques
that are not specific to one field to study is called
Webometrics. (by Thelwall 2009)
6. Web Structure
Web page www.jiwaji.edu
Web site jiwaji – Computer Name
Home Page .edu – Domain Extension
Hyperlink IP - 143.95.238.201
Domain Name Example : .ac.in, .org, .com, .NET
7. Main Areas of Webometric Study
Web Page content analysis
Web link structure analysis
Web usage analysis
Web technology analysis
8. Relationship between 5 Metric Sciences
Informetrics : The study of quantitative aspect of information any form
Bibliometrics : The study of quantitative aspect of production, dissemination and
use of recorded information.
Cybermetrics : The study of quantitative aspect of internet as a whole.
Scientometrics : The study of quantitative aspect of science as a discipline or
economic activity.
Webometrics : The study of quantitative aspect of Web/ Web site.
9.
10. Methodology and Syntax
Selection of Website.
Selection of search engines (example AltaVista, Yahoo! , Google, etc.)
Use of Appropriate query syntax
Data collection through searching
Calculation of Web impact Factors
A=Total number of Web pages to a particular site
B=Number of external back links to a given site
C=Number of internal (self) links to a given site
D= Total number of links to a site
WIF_Simple=D/A
WIF_Revised=B/A
WIF_Selflink=C/A
11. Example
I have search some query using Google search engine.
site:www.jiwaji.edu
Result 11800 pages in jiwaji website
link:www.jiwaji.edu
Result 19 Website to link jiwaji.edu
link:www.jiwaji.edu AND site:www.jiwaji.edu
Result 196 Internal links
Google search engine use on 9-4-2016 timing 5:00 PM