基于复杂网络的知识传播知识管理与组织传播视角的模拟分析

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Knowledge Communication based on Complex Networks:1

A Simulation Analysis of Knowledge Management and

Organizational Communication

Jianxun Chu*, Shukun Tang, Xiaowei Fang, Guan Wang, Guo Ma

Department of Sci-Tech Policy and Communication,

University of Science and Technology of China(USTC)

Hefei, PRC 230026

*corresponding author email: chujx@ustc.edu.cn

Abstract

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

1This paper is supported by the NSFC (No.70503024), the Fund of CAS President Prize, and the Fund of Graduate Innovation from USTC.

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