传播界牛人唐明老师带学生做的一篇文章，发表在最新的New journal of Physics.感兴趣的朋友请围观。我在这篇文章中的主要贡献就是学习！有感兴趣的朋友可以和唐明交流！

本文研究了动态演化网络上的基于社团的控制策略，通过研究发现由于网络的动态演化使得网络自发的涌现两个社团——以健康者构成的社团和以感染者构成的社团。然后利用网络的社团特性提出了两种免疫策略，都发现存在最优的控制时间可以使得免疫节点最少、效果最好！

Efficient community-based control strategies in adaptive networks，Hui Yang et al 2012 New J. Phys. 14 123017 doi:10.1088/1367-2630/14/12/123017。

Abstract. Most studies on adaptive networks concentrate on the properties
of steady state, but neglect transient dynamics. In this study, we pay attention
to the emergence of community structure in the transient process and the
effects of community-based control strategies on epidemic spreading. First, by
normalizing the modularity, we investigate the evolution of community structure
during the transient process, and find that a strong community structure is
induced by the rewiring mechanism in the early stage of epidemic dynamics,
which, remarkably, delays the outbreak of disease. We then study the effects of
control strategies started at different stages on the prevalence. Both immunization
and quarantine strategies indicate that it is not ‘the earlier, the better’ for the
implementation of control measures. And the optimal control effect is obtained
if control measures can be efficiently implemented in the period of a strong
community structure. For the immunization strategy, immunizing the susceptible
nodes on susceptible–infected links and immunizing susceptible nodes randomly
have similar control effects. However, for the quarantine strategy, quarantining
the infected nodes on susceptible–infected links can yield a far better result than
quarantining infected nodes randomly. More significantly, the community-based quarantine strategy performs better than the community-based immunization
strategy. This study may shed new light on the forecast and the prevention of
epidemics among humans.