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Knowledge Communication based on Complex Networks:A Simulation Analysis of Knowledge Management and Organizational Communication
Jianxun Chu * #,Shukun Tang,Xiaowei Fang,Wang Guan,Ma Guo
University of Science and Technology of China
*Correspondence author
#Submitted by
Subject:
Funding: 国家自然科学基金,Fund of CAS President Prize,the Fund of Graduate Innovation from USTC（No.70503024）
Opened online:21 December 2005
Accepted by: none
Citation: Jianxun Chu,Shukun Tang,Xiaowei Fang.Knowledge Communication based on Complex Networks:A Simulation Analysis of Knowledge Management and Organizational Communication[OL]. [21 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4544
 
 
This paper focuses on the simulation of knowledge communication (KC) with the ideas of epidemic theory and complexity theory. According to SIR and SIS models, we build the KC dynamic model on simulating the mechanism of KC as complex adaptive systems. From interdisciplinary background, we present several necessary theoretical assumptions and then focus on two main hypotheses: 1) the speed of KC inspires the emergence of complex networks; 2) the structure of KC network influences its efficiency. The paper, in a macro-perspective, simulates the universal model with probability coefficients in different situations, analyzes the results of the curves comparing the small-world network and the random network in order to explain the structural difference, and then discusses the future research combining this simulation and empirical sampling statistics.
Keywords:knowledge communication; complex networks; simulation; organizations
 
 
 

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