Nematzadeh Azadeh, Ferrara Emilio, Flammini Alessandro, Ahn Yong-Yeol
School of Informatics and Computing, Indiana University, Bloomington, Indiana 47408, USA.
Phys Rev Lett. 2014 Aug 22;113(8):088701. doi: 10.1103/PhysRevLett.113.088701. Epub 2014 Aug 18.
We investigate the impact of community structure on information diffusion with the linear threshold model. Our results demonstrate that modular structure may have counterintuitive effects on information diffusion when social reinforcement is present. We show that strong communities can facilitate global diffusion by enhancing local, intracommunity spreading. Using both analytic approaches and numerical simulations, we demonstrate the existence of an optimal network modularity, where global diffusion requires the minimal number of early adopters.
我们使用线性阈值模型研究社区结构对信息传播的影响。我们的结果表明，当存在社会强化时，模块化结构可能对信息传播产生违反直觉的影响。我们表明，强大的社区可以通过增强局部的、社区内部的传播来促进全局传播。通过分析方法和数值模拟，我们证明了存在一个最优网络模块化，在该模块化下全局传播所需的早期采用者数量最少。
