Types and levels of collaboration in interdisciplinary research in the sciences
Journal of the American Society for Information Science
Structures and strategies of interdisciplinary science
Journal of the American Society for Information Science
Boundary crossing in research literatures as a means of interdisciplinary information transfer
Journal of the American Society for Information Science
The impact of interdisciplinary research in the environmental sciences: a forestry case study
Journal of the American Society for Information Science
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Betweenness centrality as an indicator of the interdisciplinarity of scientific journals
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
On the relationship between interdisciplinarity and scientific impact
Journal of the American Society for Information Science and Technology
Is e-government research a flash in the pan or here for the long shot?
EGOV'06 Proceedings of the 5th international conference on Electronic Government
A knowledge collaboration network model across disciplines
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Intellectual diversity and the faculty composition of ischools
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
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Interdisciplinarity is considered the best way to face practical research topics since synergy between traditional disciplines has proved very fruitful. Studies on interdisciplinarity from all possible perspectives are increasingly demanded. Different interdisciplinarity measures have been used in case studies but, up to now, no general interdisciplinarity indicator useful for Science Policy purposes has been accepted. The bibliometric methodology presented here provides a general overview of all scientific disciplines, with special attention to their interrelation. This work aims to establish a tentative typology of disiciplines and research areas according to their degree of interdisciplinarity. Interdisciplinarity is measured through a series of indicators based on Institute for Scientific Information (ISI) multi-assignation of journals in subject categories. Research areas and categories are described according to the quantity of their links (number of related categories) and their quality (with close or distant categories, diversity, and strength of links). High levels of interrelations between categories are observed. Four different types of categories are found through cluster analysis. This differentiates "big" interdisciplinarity, which links distant categories, from "small" interdisciplinarity, in which close categories are related. The location of specific categories in the clusters is discussed.