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Model for multi-messages spreading over complex networks considering the relationship between messages

机译:考虑消息之间关系的在复杂网络上分布的多消息模型

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A novel messages spreading model is suggested in this paper. The model is a natural generalization of the SIS (susceptible-infective-susceptible) model, in which two relevant messages with same probability of acceptance may spread among nodes. One of the messages has a higher priority to be adopted than the other only in the sense that both messages act on the same node simultaneously. Node in the model is termed as supporter when it adopts either of messages. The transition probability allows that two kinds of supports may transform into each other with a certain rate, and it varies inversely with the associated levels which are discretely distributed in the symmetrical interval around original point. Results of numerical simulations show that individuals tend to believe the messages with a better consistency. If messages are conflicting with each other, the one with higher priority would be spread more and another would be ignored. Otherwise, the number of both supports remains at a uniformly higher level. Besides, in a network with lower connected degree, over a half of the individuals would keep neutral, and the message with lower priority becomes harder to diffuse than the prerogative one. This paper explores the propagation of multi-messages by considering their correlation degree, contributing to the understanding and predicting of the potential propagation trends.(C) 2016 Elsevier B.V. All rights reserved.
机译:本文提出了一种新颖的信息传播模型。该模型是SIS(敏感性-感染性-敏感性)模型的自然概括,其中两个具有相同接受概率的相关消息可能会在节点之间传播。仅在两个消息同时作用于同一节点的意义上,其中一个消息比另一个消息具有更高的优先级。当模型中的节点采用任一消息时,都称为支持者。转移概率使两种支持物可以一定的速率相互转化,并且与相关水平成反比,相关水平以原始点周围的对称间隔离散分布。数值模拟的结果表明,个人倾向于相信消息具有更好的一致性。如果消息相互冲突,则优先级较高的消息将传播更多,而另一消息将被忽略。否则,两个支撑件的数量均保持在较高的水平。此外,在连接度较低的网络中,超过一半的人会保持中立,优先级较低的消息比特权级的消息更难传播。本文通过考虑多消息的相关程度来探索它们的传播,有助于理解和预测潜在的传播趋势。(C)2016 Elsevier B.V.保留所有权利。

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