Epidemic threshold and lifetime distribution for information diffusion on simultaneously growing networks
Epidemic threshold and lifetime distribution for information diffusion on simultaneously growing networks
复制标题
同时增长的网络上信息传播的流行病阈值和生命周期分布
DOI：
10.1145/3341161.3342891
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Samorodnitsky, Gennady
中科院分区：
文献类型：
--
作者：
Fischer, Emily M.;Ghosh, Souvik;Samorodnitsky, Gennady
研究了一类增长偏好连接网络上的传染病模型下的信息扩散问题。我们通过一个彻底的模拟研究表明，有一个根本的区别，在不断增长的时间网络上的流行病过程的性质相比，静态网络上的相同的过程。在不断增长的网络上，流行病生命周期的经验分布有一个相当重的、可能是无限大的尾部。此外，在这种情况下，流行阈值的概念只有很小的意义，因为网络增长降低了相应静态图的临界值。
We study information diffusion modeled by epidemic models on a class of growing preferential attachment networks. We show through a thorough simulation study that there is a fundamental difference in the nature of the epidemic process on growing temporal networks in comparison to the same process on static networks. The empirical distribution of the epidemic lifetime on growing networks has a considerably heavier, and possibly infinite, tail. Furthermore, the notion of the epidemic threshold has only minor significance in this context, since network growth reduces the critical value of the corresponding static graph.