This article derives a “literature variable exponential growth model” from Price's literature growth modelF(t)=aebt. The method is replacingbt by a polynomial of degreen-1. Our research shows that the new model is more convincing than the former ones. Detailed calculation procedure, examples,
parameter values and mean square errors are given.
Authors:Pei-Chun Lee, Hsin-Ning Su, and Te-Yi Chan
This study proposes an empirical way for determining probability of network tie formation between network actors. In social
network analysis, it is a usual problem that information for determining whether or not a network tie should be formed is
missing for some network actors, and thus network can only be partially constructed due to unavailability of information.
This methodology proposed in this study is based on network actors’ similarities calculations by Vector-Space Model to calculate
how possible network ties can be formed. Also, a threshold value of similarity for deciding whether or not a network tie should
be generated is suggested in this study. Four ontology-based knowledge networks, with journal paper or research project as
network actors, constructed previously are selected as the targets of this empirical study: (1) Technology Foresight Paper
Network: 181 papers and 547 keywords, (2) Regional Innovation System Paper Network: 431 papers and 1165 keywords, (3) Global
Sci-Tech Policy Paper Network: 548 papers and 1705 keywords, (4) Taiwan’s Sci-Tech Policy Project Network: 143 research projects
and 213 keywords. The four empirical investigations allow a cut-off threshold value calculated by Vector-Space Model to be
suggested for deciding the formation of network ties when network linkage information is unavailable.
Authors:Jun Yuan, Wei Yue, Cheng Su, Zheng Wu, Zheng Ma, Yun Pan, Nan Ma, Zhi Hu, Fei Shi, Zheng Yu, and Yi Wu
This research intends to investigate the patent activity on water pollution and treatment in China (1985–2007), and then compares
the results with patents data about Triadic patents, South Korea, Brazil and India over the same periods, patents data were
collected from Derwent World Patents Index between 1985 and May 2008. For this study, 169,312 patents were chosen and examined.
Total volume of patents, technology focus, assignee sector, priority date and the comparison with other countries are analyzed.
It is found that patents on water pollution and treatment filed at China have experienced a remarkable increase and the increase
rate of patents filed at China change simultaneous with the percentage of domestic applications. However, the number of high
quality Triadic patents with priority country as China remains small. Furthermore, in addition to individual patent assignees,
both Chinese universities and enterprises also play important roles in patent activity of water pollution and treatment. In
addition, the pattern of South Korea’s development can provide short-term implications for China and the regularity in Triadic
patents’ development can provide some guidance to China’s long-term development. In contrast, the development pattern of Brazil
and India is less influential to China’s development. Furthermore, China’s technology focuses on water pollution and treatment
seem to parallel global and triadic patent trends. This research provides a comprehensive picture of China’s innovation capability
in the area of water pollution and treatment. It will help China’s local governments to improve their regional S&T capability
and will provide support the National Water Pollution Control and Treatment Project in China.