Classification and powerlaws: The logarithmic transformation: Research Articles
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Information Theory and Network Coding
Information Theory and Network Coding
Journal of the American Society for Information Science and Technology
The relation between Pearson's correlation coefficient r and Salton's cosine measure
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Information theoretical analysis of multivariate correlation
IBM Journal of Research and Development
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
The knowledge-based economy and the triple helix model
Annual Review of Information Science and Technology
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Using aggregated journal---journal citation networks, the measurement of the knowledge base in empirical systems is factor-analyzed in two cases of interdisciplinary developments during the period 1995---2005: (i) the development of nanotechnology in the natural sciences and (ii) the development of communication studies as an interdiscipline between social psychology and political science. The results are compared with a case of stable development: the citation networks of core journals in chemistry. These citation networks are intellectually organized by networks of expectations in the knowledge base at the specialty (that is, above-journal) level. The "structuration" of structural components (over time) can be measured as configurational information. The latter is compared with the Shannon-type information generated in the interactions among structural components: the difference between these two measures provides us with a measure for the redundancy generated by the specification of a model in the knowledge base of the system. This knowledge base incurs (against the entropy law) to variable extents on the knowledge infrastructures provided by the observable networks of relations.