Network of the core: mapping and visualizing the core of scientific domains
In this article, we propose mapping and visualizing the core of scientific domains using social network analysis techniques derived from mathematical graph theory. In particular, the concept of Network of the Core is introduced which can be employed to visualize scientific domains by constructing a...
Saved in:
Published in | Scientometrics Vol. 89; no. 3; pp. 759 - 779 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.12.2011
Springer |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | In this article, we propose mapping and visualizing the core of scientific domains using social network analysis techniques derived from mathematical graph theory. In particular, the concept of
Network of the Core
is introduced which can be employed to visualize scientific domains by constructing a network among theoretical constructs, models, and concepts. A
Network of the Core
can be used to reveal hidden properties and structures of a research domain such as connectedness, centrality, density, structural equivalence, and cohesion, by modeling the casual relationship among theoretical constructs.
Network of the Core concept
can be used to explore the strengths and limitations of a research domain, and graphically and mathematically derive the number research hypotheses. The
Network of the Core
approach can be applied to any domain given that the investigator has a deep understanding of the area under consideration, a graphical or conceptual view (in the form of a network of association among the theoretical constructs and concepts) of the scientific domain can be obtained, and an underlying theory is available or can be constructed to support
Network of the Core
formation. Future research directions and several other issues related to the
Network of the Core
concept are also discussed. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0138-9130 1588-2861 |
DOI: | 10.1007/s11192-011-0489-4 |