Botta Federico, Del Genio Charo I
Centre for Complexity Science, University of Warwick, Gibbet Hill Road, CV4 7AL, Coventry, United Kingdom.
School of Life Sciences, University of Warwick, Gibbet Hill Road, CV4 7AL, Coventry, United Kingdom.
PLoS One. 2017 Mar 23;12(3):e0174198. doi: 10.1371/journal.pone.0174198. eCollection 2017.
Being able to characterise the patterns of communications between individuals across different time scales is of great importance in understanding people's social interactions. Here, we present a detailed analysis of the community structure of the network of mobile phone calls in the metropolitan area of Milan revealing temporal patterns of communications between people. We show that circadian and weekly patterns can be found in the evolution of communities, presenting evidence that these cycles arise not only at the individual level but also at that of social groups. Our findings suggest that these trends are present across a range of time scales, from hours to days and weeks, and can be used to detect socially relevant events.
能够刻画不同时间尺度上个体之间的通信模式对于理解人们的社会互动至关重要。在此,我们对米兰大都市区手机通话网络的社区结构进行了详细分析,揭示了人与人之间通信的时间模式。我们表明,在社区的演变中可以发现昼夜节律和每周模式,这表明这些周期不仅出现在个体层面,也出现在社会群体层面。我们的研究结果表明,这些趋势存在于从小时到天和周的一系列时间尺度上,并且可用于检测社会相关事件。