多层网络中利于传播层对其他网络层传播的影响

Effects of spreading-favored layer on others in multilayer networks

为促进信息在难传网络层的传播,基于多层网络结构统计SIR传播模型在不同层的传播范围,分析了多层网络中平均度比较大的网络层对其他网络层传播的影响。研究结果表明,某一层网络的平均度越大越有利于提高其他网络层的传播速度和传播范围,甚至使得难传网络层本身的传播过程结束后还能开始新的传播过程;感染率的增加也起到一定的促进作用,但感染率变得太大或太小则其促进作用不明显。此外,与随机选择难传网络层中的非桥梁节点作为传播源相比,将难传网络层中的桥梁节点作为传播源能明显地提高其传播范围。研究结果可为人们更好地理解多层网络的结构对信息传播的影响并利用这一影响来提升难传播网络层的传播范围提供参考。

To enhance the information spreading range of spreading-hard layers in multilayer networks,based on SIR model,the spreading process of different layers and the effects of spreading-favored layer on other layers are studied.The results show that the larger the average degree of one layer is,the better the spreading speed and spreading range of the other layers will be.Even more,the larger average degree of one layer can trigger new spreading processes in other layers in which the spreading process have stopped.The spreading range can also be increased in spreading-hard network layer by increasing the infection rate,but the effects will reduce when infection rate becomes too large or too small.In addition,it is found to select the bridge nodes rather than none-bridge nodes as sources will obviously increase the spreading scale in spreading-hard layer.The results can provide a valuable theoretical basis to better understand the impact of multilayer network structure on information spreading and how to use this influence.