Borge-Holthoefer Javier, Rivero Alejandro, Moreno Yamir
Instituto de Biocomputación y Física de Sistemas Complejos, Universidad de Zaragoza, Mariano Esquillor s/n, 50018 Zaragoza, Spain.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jun;85(6 Pt 2):066123. doi: 10.1103/PhysRevE.85.066123. Epub 2012 Jun 19.
Social media have provided plentiful evidence of their capacity for information diffusion. Fads and rumors but also social unrest and riots travel fast and affect large fractions of the population participating in online social networks (OSNs). This has spurred much research regarding the mechanisms that underlie social contagion, and also who (if any) can unleash system-wide information dissemination. Access to real data, both regarding topology--the network of friendships--and dynamics--the actual way in which OSNs users interact, is crucial to decipher how the former facilitates the latter's success, understood as efficiency in information spreading. With the quantitative analysis that stems from complex network theory, we discuss who (and why) has privileged spreading capabilities when it comes to information diffusion. This is done considering the evolution of an episode of political protest which took place in Spain, spanning one month in 2011.
社交媒体已充分证明了其信息传播能力。时尚潮流、谣言，乃至社会动荡和骚乱都传播迅速，影响着参与在线社交网络（OSN）的很大一部分人群。这激发了许多关于社会传播背后机制的研究，以及谁（如果有的话）能够引发全系统范围的信息传播。获取有关拓扑结构（即友谊网络）和动态变化（即OSN用户实际互动方式）的真实数据，对于解读前者如何促进后者在信息传播效率方面的成功至关重要。通过源于复杂网络理论的定量分析，我们讨论在信息传播方面谁（以及为何）具有特殊的传播能力。这是通过考虑2011年在西班牙发生的一场持续一个月的政治抗议活动的演变来完成的。
