Onnela J-P, Saramäki J, Hyvönen J, Szabó G, Lazer D, Kaski K, Kertész J, Barabási A-L
Laboratory of Computational Engineering, Helsinki University of Technology, P.O. Box 9203, FI-02015 TKK, Helsinki, Finland.
Proc Natl Acad Sci U S A. 2007 May 1;104(18):7332-6. doi: 10.1073/pnas.0610245104. Epub 2007 Apr 24.
Electronic databases, from phone to e-mails logs, currently provide detailed records of human communication patterns, offering novel avenues to map and explore the structure of social and communication networks. Here we examine the communication patterns of millions of mobile phone users, allowing us to simultaneously study the local and the global structure of a society-wide communication network. We observe a coupling between interaction strengths and the network's local structure, with the counterintuitive consequence that social networks are robust to the removal of the strong ties but fall apart after a phase transition if the weak ties are removed. We show that this coupling significantly slows the diffusion process, resulting in dynamic trapping of information in communities and find that, when it comes to information diffusion, weak and strong ties are both simultaneously ineffective.
从手机通话记录到电子邮件日志,电子数据库目前提供了人类通信模式的详细记录,为绘制和探索社会及通信网络结构提供了新途径。在此,我们研究了数百万手机用户的通信模式,从而能够同时研究全社会通信网络的局部和全局结构。我们观察到交互强度与网络局部结构之间存在耦合关系,其产生的反直觉结果是,社交网络在去除强连接时具有鲁棒性,但如果去除弱连接,经过一个相变后就会瓦解。我们表明,这种耦合显著减缓了扩散过程,导致信息在社区中动态被困住,并且发现,在信息扩散方面,弱连接和强连接同时都不起作用。