One of the major features of the World Wide Web is the capability to create links between pages. These links are often viewed as analogues of citations in scientific publications (e.g. ROUSSEAU, 1997; BJORNEBORN & INGWERSEN, 2001; CRONIN, 2001). Links can lead to a different site or may lead to a page in the same site. Links for which the source and the target of the page are within the same site or domain are called self-links. Instead of counting self-links, we count self-sitations - the number of pages on the site having a link or links pointing to the same site. The difference between self-links and self-sitations is that for self-sitations a page with several self-links is counted with multiplicity one. The reason for counting self-sitations instead of self-links is technical: commercial search engines report the number of pages with self-links and not the number of self-links. The term-sitation has been coined by ROUSSEAU (1997). In this paper we develop the measures self-linking and self-linked, which correspond to the classical measures for journals : self-citing and self-cited. We calculate these rates for a number of academic institutions on the Web. Self-links seems to be more problematic than self-citations (of authors in scientific publications), because self-links are often inserted for navigational purposes.
Understanding Self-Linking Measures
Self-linking and self-linked measures are metrics used primarily in webometrics and citation analysis. They analyze the linking patterns within and between websites.
Calculating Rates for Academic Institutions
These measures help quantify how often entities link to themselves or their own resources. In the context of the provided options, the most relevant application is calculating the rate related to the Number of academic institutions on the web.
- Self-linking often refers to the proportion of internal links (links within the same domain or institution) compared to external links.
- Self-linked measures can quantify the density or frequency of these internal connections, reflecting how interconnected an institution's web presence is.
This metric helps assess the digital footprint and internal referencing practices specific to academic entities, distinguishing them from general websites or databases.
Important Questions from Metric Studies in LIS
Which one of the following measures the impact of scholarship and research through online interaction?
The Law of Scattering was propounded by
Webometric research includes longitudinal quantitative studies of
A. Web citation analysis
B. Blog analysis
C. Web pages
D. Search engine designing.
Choose the most appropriate answer from the options given below:
Impact Factor is used by _____.
A. Authors to select the right journal
B. Libraries to make collection development decisions
C. Academic institutions to access academic productivity
D. Publishers to decide the journal price
Choose the most appropriate answer from the options given below:
Match List I with List II
List I
(Laws)
List II
(Explanation)
(A)
Bradford's law (I)
Author productivity (B)
Lotka'sLaw (II)
Sharing of one or more references by two documents (C)
Zip's Law (III)
Law of scattering (D)
Bibliographic coupling (IV)
Usage of words by individuals
Choose the correct answer from the options given below:
