论文标题
模拟复杂网络中多个交互过程的传播
Simulating Spreading of Multiple Interacting Processes in Complex Networks
论文作者
论文摘要
研究复杂网络中扩散过程之间的相互作用是网络科学中最重要的挑战之一。但是，我们是否想知道信息活动将如何影响病毒传播，或者新iPhone的广告活动将如何影响三星手机的销售，我们需要一个使我们能够在何种情况下评估我们的传播活动有效的环境。网络扩散是一个应该有助于做到这一点的Python软件包。在本文中，我们介绍了其运行原理和主要功能，包括可以使用它执行的模拟的简单示例。
Investigating the interaction between spreading processes in complex networks is one of the most important challenges in network science. However, whether we would like to know how the information campaign will affect virus spreading or how the advertising campaign of the new iPhone will affect the sales of Samsung phones, we need an environment that will allow us to evaluate under what conditions our spreading campaign will be effective. Network Diffusion is a Python package that should help do that. In this paper, we introduce its operating principle and main functionalities, including simple examples of simulations that can be performed using it.
