Inferring friendship network structure by using mobile phone data

被引:1095
作者
Eagle, Nathan [1 ,2 ]
Pentland, Alex [2 ]
Lazer, David [3 ,4 ]
机构
[1] Santa Fe Inst, Santa Fe, NM 87501 USA
[2] MIT, Media Lab, Cambridge, MA 02139 USA
[3] Northeastern Univ, Dept Polit Sci, Boston, MA 02115 USA
[4] Northeastern Univ, Dept Comp Sci, Boston, MA 02115 USA
关键词
engineering-social systems; relational inference; social network analysis; reality mining; relational scripts; INFORMANT ACCURACY; SOCIAL NETWORK;
D O I
10.1073/pnas.0900282106
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Data collected from mobile phones have the potential to provide insight into the relational dynamics of individuals. This paper compares observational data from mobile phones with standard self-report survey data. We find that the information from these two data sources is overlapping but distinct. For example, self-reports of physical proximity deviate from mobile phone records depending on the recency and salience of the interactions. We also demonstrate that it is possible to accurately infer 95% of friendships based on the observational data alone, where friend dyads demonstrate distinctive temporal and spatial patterns in their physical proximity and calling patterns. These behavioral patterns, in turn, allow the prediction of individual-level outcomes such as job satisfaction.
引用
收藏
页码:15274 / 15278
页数:5
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