复杂网络中初始节点对传染病传播的影响分析

长期以来，传染病对人类造成持续不断的威胁。研究工作者在传染病传播上投入了大量的精力进行研究，比如:传播模型、传播阂值以及影响传播的因素等方面。主要研究复杂网络中初始染病节点如何影响传染病的传播，对5种初始染病节点选择方法进行了深入分析并在两个大规模无向网络上进行了仿真实验。结果表明，传播速度以及传染病影响规模不仅与初始染病节点的选择有关，而且与网络结构有关。本研究成果对传染病控制可提供有价值的借鉴与参考作用。

Effect of Initial Infected Individuals on the Spread of Epidemics in Complex Networks

Infectious diseases incessantly threaten human beings for a long time. Many researchers pay much attention on the spread of epidemics, such as spread model, threshold spread rate, and affecting factors of spread, etc. Different initial infected individuals in the network how to affect the disease spreading was studied in this paper. Five initial infected individuals selecting methods were analyzed and two largescale undirected networks were used to simulate the disease spreading under different initial selected individuals. Simulation results demonstrate that the spread rate and the affected population size arc related to initial infected individuals as well as network structure. I}hc results can offer some valuable suggestions on disease controlling.