The article focuses on trends and methods as well as tools used for mapping and visualization
of scientific domains as a research methodology which is attracting more and more interest from
scientific information and science studies professionals; several factors which have contributed to
such developments are also discussed. Science mapping or bibliometric mapping is a spatial representation
of how disciplines, fields, specialties, and individual documents or authors are related to
one another (Small, 1999). Different approaches have been developed to extract networks using
the selected units of analysis (authors, documents, journals, terms, etc.). Furthermore, the authors
looks at the most popular computer programs used for the processing of bibliographic and bibliometric
data.. In addition, plans and activities are presented concerning a comprehensive analysis of
IRNet project (www.irnet.us.edu.pl) networking activities and numerous publications, using special
ICT tools and study methods, first of all Pajek and presenting a several examples.
[1]
Andreas Strotmann,et al.
Information science during the first decade of the web: An enriched author cocitation analysis
,
2008,
J. Assoc. Inf. Sci. Technol..
[2]
Satoru Kawai,et al.
An Algorithm for Drawing General Undirected Graphs
,
1989,
Inf. Process. Lett..
[3]
Henry Small.
Visualizing science by citation mapping
,
1999
.
[4]
Jianhua Hou,et al.
The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis
,
2010,
J. Assoc. Inf. Sci. Technol..
[5]
Veslava Osińska.
Rozwój metod mapowania domen naukowych i potencjał analityczny w nim zawarty
,
2010
.