Page 220 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 42

Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China 2016 Vol.42 219

of knowledge diffusion with network topology structures,knowledge genetic inheritance and
abrupt variation,knowledge spillover effects of experts.
Results indicate the following conclusions. 1)The average knowledge level,diffusion rate
and balance degree of knowledge in collaboration network depend on the dynamics network
topology,the higher stochastic diffusion probability of the network is,the higher the diffusion
rate is and the more the uniform distribution of knowledge stock has. Knowledge level has a rapid
increase up to a maximum value in the earlier time based on random network and the diffusion
advantage is no longer obvious following repeat exchange of knowledge in the network,yet the
diffusion characteristics in the small-world network are more in line with the reality of scientific
cooperation network. 2)The smaller the scale of the cooperation network is,the more significant
the spillover effects of experts are,and the more effectively the knowledge diffusion is promoted.
With the spreading of knowledge,υ(t) increase first and then remain the same,ultimately which
has nothing to do with the network scale. The standard deviationσ(t) of knowledge stock in
different network scales obtain a single-peaked curve and the smallest network generates the
uniform distribution of knowledge level. 3)Genetic inheritance and abrupt variation work on the
performance of knowledge diffusion in some different degree and achieve a state of equilibrium at
a certain moment,and when purely rely on one element to facilitate the knowledge diffusion,the
growth of knowledge level is far less than that when the two exist together. Meanwhile,the genetic
inheritance mainly affects the early evolution stage of knowledge diffusion and abrupt variation
has a bigger stock in the later period.
Research on the influence factors of the cooperative network on knowledge diffusion,which is
conducive to the formation of a more robust cooperation model,maximizes the effectiveness of
scientific research cooperation. Through identifying the innovation tension and knowledge growth
advantage in the process of scientific research cooperation to amplify the benign interaction
between team members and separate the differences that hinder cooperation and exchange,more
effective knowledge exchange strategy and innovation can be achieved.

A review of the evolution model of scientific knowledge network

ZHANG Bin & LI Yating
①a *
The evolution model of knowledge network is an abstract expression of knowledge network’s
inherent interaction mode and process,a method to explore the key features of knowledge
development and a bond to connect the external structure with internal interaction mechanism.
Currently,researches on this issue are scattered in the fields of Statistical Physics,Computer
Science,and Library & Information Science. It has become a research hotspot in Library

* Correspondence should be addressed to ZHANG Bin,Email:zb0205@126.com,ORCID:0000-0002-5591-7874