Small but slow world: How network topology and burstiness slow down spreading
Small but slow world: How network topology and burstiness slow down spreading
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DOI：
10.1103/physreve.83.025102
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发表时间：
2011-02-18
影响因子：
2.4
通讯作者：
Saramaki, J.
中科院分区：
文献类型：
--
作者：
Karsai, M.;Kivela, M.;Saramaki, J.
虽然通信网络显示出短路径的小世界特性，但其中的传播动力学变得缓慢。在这里，通过使用接触序列的经验数据和易感感染模型来跟踪信息传播通过通信网络的时间演变。引入空模型，其中事件序列被适当地打乱，我们能够区分不同的阻碍效应的贡献。扩散的减缓主要是由体重拓扑相关性和个体的突发性活动模式引起的。
While communication networks show the small-world property of short paths, the spreading dynamics in them turns out slow. Here, the time evolution of information propagation is followed through communication networks by using empirical data on contact sequences and the susceptible-infected model. Introducing null models where event sequences are appropriately shuffled, we are able to distinguish between the contributions of different impeding effects. The slowing down of spreading is found to be caused mainly by weight-topology correlations and the bursty activity patterns of individuals.