09737766.2017.1292667

COLLNET Journal of Scientometrics and Information
Management
ISSN: 0973-7766 (Print) 2168-930X (Online) Journal homepage: http://www.tandfonline.com/loi/tsim20
Ranking of National Institutes of Technology (NITs)
of northeast region of India on the basis of web
impact factor
Manoj Kumar Verma & Krishna Brahma
To cite this article: Manoj Kumar Verma & Krishna Brahma (2017): Ranking of National Institutes
of Technology (NITs) of northeast region of India on the basis of web impact factor, COLLNET
Journal of Scientometrics and Information Management, DOI: 10.1080/09737766.2017.1292667
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Date: 26 October 2017, At: 21:35
COLLNET Journal of Scientometrics and Information Management
ISSN : 0973-7766 (Print) 2168-930X (Online)
DOI : 10.1080/09737766.2017.1292667
Downloaded by [Linköping University Library] at 21:35 26 October 2017
Ranking of National Institutes of
Technology (NITs) of northeast region of
India on the basis of web impact factor
Manoj Kumar Verma
Krishna Brahma
Web have now become a master source of information and play an important role in its dissemination because people become more web centric to access information in last 10 years and all the institutes designed
and developed their website to provide information through web. This
paper evaluates the websites of NITs of northeast region of India based
on the webometric perspective. The study investigates 8 NITs of northeast region through observation method and resolved that NIT Silchar
of Assam has got the maximum number of web pages, highest number
of Internal and External Links and highest Web Impact Factor and rank
at top among the all websites of NITs.
Keywords: Web Impact Factor, Webometric, NITs, Northeast India, Link Analysis
1. Introduction
Manoj Kumar Verma*
Krishna Brahma‡
Department of Library and
Information Science
Mizoram University
Aizawl
Mizoram
India
*
[email protected]
‡ [email protected]
©
The growing demand for technical education, fundamental changes in higher technical education in India and
enhancing the value system needs the creative coordination
among technical institutions at national and international
level on the basis of a constant exchange of information and
achievements among them. The easiest and effective way
to make operational exchange of information is publication
on their websites.
“The World Wide Web (WWW) has now become one of
the main sources of information on academic and research
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M. K. Verma and K. Brahma
activities, and therefore, it is an excellent platform to test new methods of evaluating webometric activities” (Babu, Jeyshankar and Rao, 2010 [3]).
Web resources are apple of information professional’s eyes due to their value added
services to meet their current and diversified information needs. The web pages of WWW
are the entities of information with hyperlinks from within and outside of them acting as
citation. Quantitative analysis on WWW is being carried out in the same way as in the
citation analysis. As information on web increases towards entropy, it is needed to apply some theory metrics (measurement) to develop new method, modeling techniques
and metaphors to examine this emerging complex network. On the basis of the study and
conception, webometrics is defined as “the study based on quantitative measurement-indirectly includes the quantitative aspect also of structure, use of information resources and
technologies on WWW drawing on bibliometric and informetric approach” (Goswami,
2007 [13]).
There are 8 states in northeast region of India and each state has one National Institute of Technology (NIT). The National Institutes of Technology (NITs) are the federallyfunded public engineering institutes in India. They are declared as Institutes of National
Importance by an Act of Parliament of India. In the internet age, the websites of institutes
are very important for dissemination of information and are now used as communication
tool about the institution, their related departments, resources and services, students, faculty members, alumni etc. It is very important to keep the website updated from time to
time to give latest facts to the users and visibility on the web. Hence a study to assess their
web-based activities and then as basis for ranking their websites is undertaken.
2. Webometrics and Web Impact Factor
Webometric is the study of quantitative aspects of the construction and use of the information resources, structures and technologies on the web drawing on bibliometric and
informetric approaches. It covers research of all network based communication using informetric or other quantitative measures. Bjorneborn and Ingwersen [5] focused on the
following four areas of webomerics study:
∑ Web page content analysis;
∑ Web link structure analysis (e.g. hyperlink, self link and external link);
∑Web usage analysis (e.g. exploiting log files for users searching and browsing behavior); and
∑ Web technology analysis (including search engine performance).
A Web Impact Factor is a part of the methodology in webometrics studies. The Web
Impact Factor (WIF) was developed by Ingwersen [8] to measure the impact of websites
by the number of links it receives. It provides quantitative tools for ranking, evaluating,
categorizing, and comparing websites and top-level domains and sub-domains. A website
with a higher impact factor may be considered to be more prestigious or of higher quality
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Ranking of National Institutes of Technology (NITs) of northeast region of India...
Table 1
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List of NITs of Northeast region with their websites
(Source: http://mhrd.gov.in/technical-education-5)
than those websites with a lower impact factor. Three types of links and Web Impact Factor (WIF) are formulated in the following way:
∑ The Simple WIF: The ratio of all links to the number of pages.
∑ The Internal WIF: The ratio of internal links within the site to number of pages.
∑The External WIF: The ratio of links made from external sites to the target site, to the
number of pages at the site.
3. Significance and scope of study
Webometric is a very important segment in the field of library and information science
through which analysis of websites has been conducted by information professionals. In
present digital era web has become a key source of information and plays an important
role in its dissemination. Now people have become more web-centric to find their information because they want their information on their fingertips so that they can access it
in 24X7 modes. Therefore all the institutes have designed and developed their websites to
provide information through web. This initiates the research in the area of web analysis
which conceptually developed from bibliometrics. The present study is also an attempt to
analyze the websites of NITs of northeast India to show the current status of their website
and rank them according to their WIF.
The scope of present study is limited to NITs websites situated in northeast India. The
list of 8 NITs of Northeast India along with their websites is listed in Table 1.
4. Review of literature
Aminpour, et al., [1] conducted a webometric study of Iranian universities of medical
sciences and the study resolved that the website of Tehran university of medical sciences
with 49,300 webpages and 9860 Inlinks was ranked first for the size and number of Inlinks,
while its impact factor was ranked 38th whereas, Rafsanjan University of Medcial Sciences
COLLNET JOURNAL OF SCIENTOMETRICS AND INFORMATION MANAGEMENT 3
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M. K. Verma and K. Brahma
with 15 webpages and 211 links had the highest rank for the web impact factor among
Iranian universities of medical sciences. Arif and Ismail [2] conducted a study on Web
Impact Factor for Malaysian Public Universities. They have used Majestic SEO and Google
search engine to find the WIF and resolved that University Malaysia Sabah (UMS) have the
highest Average WIF with 13.013 followed by University Malaysia Kelantan (UMK) with
2.670 WIF and University Pertahanan National Malaysia (UPNM) with 1.289 WIF. Islam
[6] made a webometrics study of universities in Bangladesh. The researcher has used AltaVista search engine to rank the websites based on webometric indicators and the result
found was that some universities in Bangladesh have higher number of webpages but
the link pages are fewer. Jalal, et al., [8] have investigated the Web Impact Factor and link
analysis of selected Indian Universities and it has found that all the NITs are closely related
in the topology framework whereas nodes are not linked significantly for the case of state
universities and central universities. NIT Durgapur, NIT Allahabad, NIT Calicut, NIT Surathkal and NIT Trichi are producing maximum links. There is no significant web-based
associations amongst central universities in India but Delhi University, Banaras Hindu
University, Jawaharlal Nehru University, Aligarh Muslim University are having maximum inlinks and connected with each other. SosSciBot 3.0 has been used to extract the link
data for the purpose of constructing link topology formed for NITs in India. Jati [10] made
a webometric approach for Indonesian universities to find the Web Impact Factor by uses
yahoo search engine and revealed that the Universitas Sriwijaya had the highest number
of webpages ranked in with respect to number of webpages whereas, Universitas Bina Nusantara had the highest impact on web with far more the number of inlinks as compared
to the number of webpages on its website and Universitas Muhammadiyah Malaang was
ranked on the top for presence of rich files from the contribution of .doc and .pdf file type.
Jeyshankar, et al., [11] conducted a study on the analysis of Web pages of ICMR Institutes
websites, in which the link structures has been analyzed, the study concentrates on the
classification websites by webpage size, wave web aim accessibility error, various search
engine performances, the difference between pages in various time intervals and number
of rich files has been calculated and also presents the link-network diagram of ICMR institutes. Maharana, et al., [14] conducted a webometric study on Web Impact Factor and link
analysis of 16 Indian Institute of Technologies, in which they have analyzed the number of
webpages and link pages and calculates the simple web impact factor, self link web impact
factor and external web impact factor of IITs. Noruzi [15] conducted a critical review study
on Web Impact Factor and associated indicators and the paper reviews how the WIF has
been developed and applied. Ratha, et al., [16] made a webometric study of 15 IIT libraries
websites in India. They have analyzed the design and structure of the library websites of
IITs and found significant differences such as the user supporting services, number of hyperlinks on home pages and whole websites etc. Smith and Thelwall [17] made a study on
Web Impact Factors for Australasian universities and the results of an exploratory study
of knowledge exchange between disciplines and subfields of science, based on bibliometric methods. Verma and Brahma [20] conducted a study on webometric analysis of selected non-profit organizations (NGOs) of Assam and has found that Centre for North East
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Ranking of National Institutes of Technology (NITs) of northeast region of India...
Studies and Policy Research, Guwahati and AARANYAK is at the top rank among the
selected NGOs websites in Assam. Walia and Gupta [24] conducted a study on Web Impact Factor of Select National Libraries’ Websites and their study revealed that among the
selected national libraries, websites of national libraries ‘of America, Australia and Britain
were more visible and hosted the more content compare to the websites of India, Namibia
and South Africa.
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5. Objectives of the study
The main objectives of the present study are1. To identify and analyze the websites of NITs of Northeast region of India.
2. To calculate the number of webpages of NITs websites
3. To examine the number of link-equity of NITs websites
4. To find out the number of internal and external link pages of NITs websites.
5.To calculate the web impact factor of NITs websites and rank the NITs websites on the
basis of WIF.
6. Methodology
The observation method was used as research methodology and data were collected
from the websites of NITs of Northeast region of India by using the tool called open site explorer (www.opensiteexplorer.org). It is a search engine optimization tool for links which
is developed by Moz.com that helps to track the links leading to the website. The open site
explorer is one of the essential tools that gives wealth of data by gathering, sorting and
exporting link data easier than ever. It is built with speed and accessibility at the forefront
and provides tremendous amount of information about the links to any page or site.
7. Method of calculating Web Impact Factor
The result of web impact factor visualized various impact factor such as Simple web
impact factor, Internal web impact factor and External web impact factor.
Distribution of Data by SWIF has been calculated by the following formula:
SWIF =
Total No. of Links
Total No. of Webpages
Distribution of Data by IWIF has been calculated by the following formula:
IWIF =
Total No. of Internal Links
Total No. of Webpages
COLLNET JOURNAL OF SCIENTOMETRICS AND INFORMATION MANAGEMENT 5
M. K. Verma and K. Brahma
Table 2
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Domain Authority and Page Authority
Distribution of Data by EWIF has been calculated by the following formula:
EWIF =
Total No. of External Links
Total No. of Webpages
8. Data analysis
There are 8 NITs in the Northeast region of India. Data is analyzed based on the objectives of study using MS Word to present the tables and MS Excel for bar graphs. Table 2
and Figure 1 reveals the Domain and Page Authority of NITs of Northeast India. Domain
Authority is a measure of the power of a domain name. It is a quality score developed by
Moz (tool for measuring, monitoring and evaluating the onsite and off-site aspects of a
website’s level of search engine optimization) that predicts how well a website will rank
on search engines. Page Authority is a quality score developed by Moz that predicts how
Fig. 1
Domain and Page Authority
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Ranking of National Institutes of Technology (NITs) of northeast region of India...
Table 3
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Just-Discovered and Established Links
well a specific page will rank on search engines. A high page authority score means your
page has the potential to rank well in search engine results. The result visualized that the
Domain Authority of NIT Silchar with 43 (18.85%) ranks at top, followed by NIT Agartala
and NIT Sikkim with 32 (14.03%) which occupies the second place and the third place goes
to NIT Mizoram with 30 (13.15%). The Page Authority of NIT Silchar with 52 (16.82%)
occupies the first place, followed by NIT Agartala, NIT Mizoram and NIT Sikkim with 41
(13.26%) which occupies the second place and the third place goes to NIT Manipur with39
(12.62%).
Table 3 has listed the Just-Discovered Links and Established Links of NITs of Northeast
India. Just-Discovered links report helps any one to identify recently created URLs and
links i.e., the newest links which are indexed within few hours to a day of being published.
The Established links are the number of links created with domain authority, page authority and just discovered links. Root Domains are the number of unique domains linking to
your domain or page. Total Links is the total amount of links to a site. This would be all
types of links. The result shows that NIT Silchar and NIT Mizoram has got 2 numbers of
Just-Discovered Links and the rest of the NITs has got zero links. The NIT Silchar with 97
RDs (3940 TLs) has the highest number of Established Links, followed by NIT Sikkim with
30 RDs (1246 TLs) occupies the second place and NIT Mizoram with 27 RDs (1064 TLs) in
the third place.
Table 4 and figure 2 shows the Internal Equity-Passing Links (IE-PLs), External EquityPassing Links (EE-PLs) and Total Equity-Passing Links (TE-PLs) of NITs of Northeast India.
The Equity-passing Links are the links which pass value from one page to another (From
Page A to Page B). Internal Equity-passing links are the links pointing to a pages inside
COLLNET JOURNAL OF SCIENTOMETRICS AND INFORMATION MANAGEMENT 7
M. K. Verma and K. Brahma
Table 4
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Internal Equity-Passing Links, External Equity-Passing Links and Total Equity-Passing Links
Fig. 2
Internal, External &Total Equity-Passing Links (TE-PLs)
your website. External Equity-passing links are the links pointing from another domain to
a page on your website. Total Equity-Passing Links are the total amount of equity-passing
links. It is found that the IE-PLs of NIT Silchar with 300 (43.35%) occupies the first place,
followed by NIT Sikkim with 179 (25.86%) occupies the second place and NIT Meghalaya
with 173 (25%) is in the third place. The EE-PLs of NIT Silchar with 3621 (49.41%) occupies
the first place, followed by NIT Sikkim with 1064 (14.51%) occupies the second place and
the third place goes to NIT Mizoram with 1058 (14.43%). The TE-PLs of NIT Silchar with
3921 (48.89%) occupies the first place, followed by NIT Sikkim with 1243 (15.49%) occupies
the second place and the third place goes to NIT Mizoram with 1059 (13.20%).
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Table 5
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Total Internal Links, Total External Links and Total Links
Fig. 3
Internal, External and Total Links
Table 5 and Figure 3 provides the Total Internal Links (TILs), Total External Links
(TELs) and Total Links (TLs) of NITs of Northeast India. The TILs of NIT Silchar with 300
(43.35%) is at the top, followed by NIT Sikkim with 179 (25.86%) occupies the second place
and NIT Meghalaya with 173 (25%) in the third place. The TELs of NIT Silchar with 3640
(49.42%) is at the top, followed by NIT Sikkim with 1067 (14.48%) which in the second
place and NIT Mizoram with 1063 (14.43%) is in the third place. The TLs of NIT Silchar
with 3940 (48.90%) is at the top, followed by NIT Sikkim with 1246 (15.46%) is at the second
place and NIT Mizoram with 1064 (13.20%) is in the third.
COLLNET JOURNAL OF SCIENTOMETRICS AND INFORMATION MANAGEMENT 9
M. K. Verma and K. Brahma
Table 6
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Followed Linking Root Domains and Total Linking Root Domains
Table 6 shows the Followed Linking Root Domains (FLRDs) and Total Linking Root
Domains (TLRDs) of NITs of Northeast India. The FLRDs of NIT Silchar tops with 88
(42.10%), followed by NIT Sikkim with 29 (13.87%) in the second place and NIT Mizoram
with 25 (11.96%) is in the third. The NIT Silchar with 97 (42.17%) has the highest number of
TLRDs, followed by NIT Sikkim with 30 (13.04%) is the second highest and NIT Mizoram
with 27 (11.73%) is the third.
Table 7 and Figure 4 illustrate the Web Impact Factor (WIF) of NITs of Northeast India
which analyses the Simple Web Impact Factor (SWIF), Internal Web Impact Factor (IWIF)
and External Web Impact Factor (EWIF). The result visualized that the NIT Silchar with
Table 7
Web Impact Factor of NITs and their ranking
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Ranking of National Institutes of Technology (NITs) of northeast region of India...
Fig. 4
Web Impact Factor of NITs
75.76 SWIF occupies the first place, followed by NIT Sikkim with 30.39 SWIF, which is in
the second place and the third place goes to NIT Mizoram with 25.95 SWIF. On the basis of
IWIF, It is observed that the NIT Silchar with5.76 IWIF is in the first place, followed by NIT
Meghalaya with 4.67 IWIF which is in the second place and NIT Sikkim with 4.36 IWIF in
the third. On the basis of EWIF, it is visualized that NIT Silchar scores the highest with 70
EWIF, followed by NIT Sikkim with 26.02 EWIF which occupies the second place and the
third place goes to NIT Mizoram with 25.92 EWIF.
9. Findings of the study
1.The NIT Silchar tops with 43 (18.85%) Domain Authority, followed by NIT Agartala
and NIT Sikkim with 32 (14.03%) which occupies the second place and the third
place goes to NIT Mizoram with 30 (13.15%).
2.The NIT Silchar tops with 52 (16.82%) Page Authority, followed by NIT Agartala, NIT
Mizoram and NIT Sikkim with 41 (13.26%) which occupies the second place and the
third place goes to NIT Manipur with 39 (12.62%).
3.The NIT Silchar tops with 300 (43.35%) Internal Equity-Passing Links (IE-PLs), followed by NIT Sikkim with 179 (25.86%) IE-PLs which occupies the second place and
NIT Meghalaya with 173 (25%) IE-PLs is in the third place. The External EquityPassing Links (EE-PLs) of NIT Silchar with 3621 (49.41%) occupies the first place,
followed by NIT Sikkim with 1064 (14.51%) EE-PLs which occupies the second place
and the third place goes to NIT Mizoram with 1058 (14.43%) EE-PLs. The Total Equity-Passing Links (TE-PLs) of NIT Silchar with 3921 (48.89%) once again occupies
COLLNET JOURNAL OF SCIENTOMETRICS AND INFORMATION MANAGEMENT 11
M. K. Verma and K. Brahma
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the first place, followed by NIT Sikkim with 1243 (15.49%) TE-PLs which occupy the
second place and the third place go to NIT Mizoram with 1059 (13.20%) TE-PLs.
4.The NIT Silchar once again tops with 300 (43.35%) Total Internal Links (TILs), followed by NIT Sikkim with 179 (25.86%) TILs which occupies the second place and
NIT Meghalaya with 173 (25%) TILs are in the third place. The NIT Silchar tops
with 3640 (49.42%) Total External Links (TELs), followed by NIT Sikkim with 1067
(14.48%) TELs which in the second place and NIT Mizoram with 1063 (14.43%) TELs
is in the third place. The Total Links (TLs) of NIT Silchar with 3940 (48.90%) is at the
top, followed by NIT Sikkim with 1246 (15.46%) TLs are at the second place and NIT
Mizoram with 1064 (13.20%) TLs are in the third.
5.NIT Silchar ranks first with 75.76 SWIF, 5.76 IWIF and 70 EWIF while, NIT Meghalaya with 4.67 IWIF and NIT Sikkim with 30.39 SWIF and 26.02 EWIF occupies second
place. Whereas, NIT Sikkim with 4.36 IWIF and NIT Mizoram with 25.95 SWIF and
25.92 EWIF occupies third place.
10. Conclusion
The present study gives an information about the ranking of the websites of NITs of
Northeast region in India. As there are total 31 NITs in India, out of which 8 NITs are from
Northeast region and the study has been conducted on the websites of only 8 NITs from
Northeast region. The result found was that the NIT Silchar from Assam tops with the
highest number of web pages and highest number of Internal and External Links. Thus it
can be concluded that according to the Simple Web Impact Factor, External Web Impact
Factor and Internal Web Impact Factor NIT, Silchar was ranked at the top, while website
of NIT Sikkim is at 2nd rank, NIT Mizoram have 3rd rank and NIT Nagaland have 4th rank
while NIT Meghalaya and NIT Arunachal are respectively last in rank.
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