RBU_JR_LIS_V23_2021-FULL_TEXT-E-Copy

RBU Journal of library & Information Science, V. 23, 2021
10 Clustering and Scaling of Key Concepts of ILS
For providing a structured representation of how the
patterns of the themes are spreading within the dimension
of integrated pest management by the multiscaling
algorithm of Biblioshiny, we initiated the analysis by
exploratory cluster analysis of the themes and sequences
popularly known as "Topic Dendrogram." The topic
dendrogram tree diagram showing the most widely used
topics and their relation to other topics and classification
of these topics depicted in different colors and the
relationship between the keywords generated by
hierarchical clustering. Figure 7 is showing a Topic
Dendrogram of the top 50 author keywords of ILS
literature. The result shows that there are two major topic
clusters. Cluster 1 consists of two (2) keywords, 'Digital
Storage' and 'Archives Management.' Cluster 2 consists of
seven (7) sub-clusters and one single keyword,
'Collections sub-clusters. Sub-cluster 2.1 consists of
certain topics on 'Open Source' and 'Software.' Sub-cluster
2.2 consists of certain topics on 'Document Management,'
where each sub-cluster consists of Delivery,' 'Interlending,'
and 'Document Supply.' Sub-cluster 2.3 consists of certain
topics on 'Automation,' 'Online Catalogues,' 'Integrated
Library Systems,' 'Higher Education, 'Systems' and 'Koha.'
Sub-cluster 2.4 consists of certain topics on 'Open Source
Software,' 'Library Systems,' 'India,' 'Library,' 'Library
Management, 'Public Libraries' and 'Library Services.'
Sub-cluster 2.5 consists of certain topics on 'Content
Management', 'Digital Libraries' 'Communication
Technologies', 'Nigeria', 'Databases' and 'China'. Subcluster
2.6 consists of certain topics on 'Information
Technology, 'Information Services', 'Library Automation',
'Cataloguing', 'Internet', 'Libraries', 'Management', 'Serials'
and 'E-Learning'. Sub-cluster 2.7 consists of certain topics
on 'Information Management', 'Academic Libraries',
'Information Retrieval', 'Information Systems', 'Knowledge
Management, 'Computer Software', 'Electronic Resources',
'University Libraries', 'Information' and 'Metadata'.
Figure 7: Clustering and Scaling of Key Concepts via Topic Dendrogram on ILS
11 Evaluation of the core themes of ILS by
Thematic Map
We have detected some research themes now for the
superior interpretation of the results. We can categories the
identified themes into a strategic diagram to analyze the
importance and development of the research theme (Nasir
et al., 2020). Figure 8 represents the thematic map based
on density and centrality. The centrality measures the
importance of the selected theme, and density measures
the development of the chosen theme. The graph is divided
into four parts. Themes that appear on the lower left part
are emerging or declining themes. These are new themes
that can emerge to be better or drop from the research area.
The themes that come under the lower right part of the
thematic map are the basic or transversal themes. These
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themes represent low density and centrality. Much
research has been done on these themes. The Upper left
part represents high density but lower centrality; these
themes are highly developed but isolated. The upper right
part represents high density and low centrality. The themes
in this part are a motor theme, which is developed and
essential. The size of the thematic map is to the factors that
come under the theme. The thematic map of Figure 8 is
constructed based on a full-time span from 2001 to 2020.
We have used the top 70 keywords, but items shown
software. It represents the subjective in the clusters are set
to the minimum frequency of 4 in `biblioshiny' web web
software. It represents the subjective judgment of the
authors keeping in view the dynamics and best
representation of ILS literature. Additionally, Table 6 is
constructed from the clusters shown in Figure 8. The
emerging theme of ILS research is Electronic Journals.