Mobile phone data for inferring social network structure

被引：39

作者：

Eagle, Nathan ^{[1
]}

Pentland, Alex ^{[2
]}

Lazer, David ^{[3
]}

机构：

[1] MIT, MIT Design Lab, Cambridge, MA 02139 USA

[2] MIT, MIT Media Lab, Cambridge, MA 02139 USA

[3] Harvard Univ, John F Kennedy Sch Govt, Cambridge, MA 02138 USA

来源：

SOCIAL COMPUTING, BEHAVIORAL MODELING AND PREDICTION | 2008年

关键词：

D O I：

10.1007/978-0-387-77672-9_10

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We analyze 330,000 hours of continuous behavioral data logged by the mobile phones of 94 subjects, and compare these observations with self-report relational data. The information from these two data sources is overlapping but distinct, and the accuracy of self-report data is considerably affected by such factors as the recency and salience of particular interactions. We present a new method for precise measurements of large-scale human behavior based on contextualized proximity and communication data alone, and identify characteristic behavioral signatures of relationships that allowed us to accurately predict 95% of the reciprocated friendships in the study. Using these behavioral signatures we can predict, in turn, individual-level outcomes such as job satisfaction.

引用

页码：79 / +

页数：3

共 21 条

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[2]

[Anonymous], 1993, Street corner society. The social estructura of an italian slum

[3]

BERNARD WH, 1979, SOC NETWORKS, V2, P191

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