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

his 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.