Literature DB >> 20167789

Limits of predictability in human mobility.

Chaoming Song1, Zehui Qu, Nicholas Blumm, Albert-László Barabási.   

Abstract

A range of applications, from predicting the spread of human and electronic viruses to city planning and resource management in mobile communications, depend on our ability to foresee the whereabouts and mobility of individuals, raising a fundamental question: To what degree is human behavior predictable? Here we explore the limits of predictability in human dynamics by studying the mobility patterns of anonymized mobile phone users. By measuring the entropy of each individual's trajectory, we find a 93% potential predictability in user mobility across the whole user base. Despite the significant differences in the travel patterns, we find a remarkable lack of variability in predictability, which is largely independent of the distance users cover on a regular basis.

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Year:  2010        PMID: 20167789     DOI: 10.1126/science.1177170

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  273 in total

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Journal:  Transp Res Part C Emerg Technol       Date:  2018-02       Impact factor: 8.089

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Journal:  Anim Behav       Date:  2013-09       Impact factor: 2.844

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Journal:  Science       Date:  2012-10-12       Impact factor: 47.728

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