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Information spreading in complex networks with participation of independent spreaders

机译：与独立吊具的参与的复杂网络中的信息传播

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Information diffusion dynamics in complex networks is often modeled as a contagion process among neighbors which is analogous to epidemic diffusion. The attention of previous literature is mainly focused on epidemic diffusion within one network, which, however neglects the possible interactions between nodes beyond the underlying network. The disease can be transmitted to other nodes by other means without following the links in the focal network. Here we account for this phenomenon by introducing the independent spreaders in a susceptible-infectious-recovered contagion process. We derive the critical epidemic thresholds on Erdos-Renyi and scale-free networks as a function of infectious rate, recovery rate and the activeness of independent spreaders. We also present simulation results on ER and SF networks, as well as on a real-world email network. The result shows that the extent to which a disease can infect might be more far-reaching, than we can explain in terms of link contagion only. Besides, these results also help to explain how activeness of independent spreaders can affect the diffusion process, which can be used to explore many other dynamical processes. (C) 2017 Elsevier B.V. All rights reserved.
机译：复杂网络中的信息扩散动态通常被建模为与流行扩散类似的邻居之间的传染过程。以前文学的注意主要集中在一个网络中的疫情扩散，然而忽略了基础网络之外的节点之间的可能的相互作用。该疾病可以通过其他方式传输到其他节点，而不遵循焦点网络中的链接。在这里，我们通过在敏感传染性恢复的传染过程中引入独立展示来占这种现象。我们通过传染率，恢复率和独立展示者的激活，从鄂尔多斯 - 仁义和无规模网络上获得批判性疫情阈值。我们还在ER和SF网络以及真实世界电子邮件网络上呈现仿真结果。结果表明，疾病可能感染的程度可能更广泛，我们只能在链接传染方面解释。此外，这些结果还有助于解释独立展台的激活率如何影响扩散过程，可用于探索许多其他动态过程。 （c）2017年Elsevier B.V.保留所有权利。

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