The notion of knowledge-based economy premises that technological knowledge be created, accumulated and disseminated through
the interactive learning among principal actors in the national system. This paper analyzes, from a dynamic perspective, the
structure of inter-industrial technological knowledge. Both human-driven disembodied channel and capital-driven embodied channel
are investigated based on network analysis. The set of empirical data covers the Korean manufacturing sector during the 1980s.
Overall, density of network tends to be increasing over time, implying that knowledge network becomes expanded and intensified.
A number of distinctive features are identified between knowledge types and industrial categories. The findings in turn render
important policy implications that should be addressed when developing technology policy. Clearly, the policy framework needs
to be industry-specific and country-specific in accordance with the development stage and industrial structure of reference
This study performs a webometric analysis to explore the communication characteristics of scientific knowledge in a national
scholarly Web space comprising top ranking universities and government supported research institutions in South Korea. We
found significant differences in scholarly communication activity as well as linking behavior among different subspaces in
addition to institutional differences. We also found the usefulness of the ADM approach in analyzing the metric data containing
extreme outliers and discovered the directory model as the most appropriate. Page counts were found significantly correlated
with inlinks as well as with outlinks at the directory level in the whole scholarly Web space.
Authors:Yong-Kab Choi, Kyo-Shin Hwang, Tae-Sung Kim, and Zhengyan Lin Wang
We establish some large increment results for partial sum processes of a dependent stationary Gaussian sequence via estimating
upper bounds of large deviation probabilities on suprema of the Gaussian sequence.