Human dynamics: From human mobility to predictability

Albert László Barabási*

*Corresponding author for this work

Research output: Contribution to Book/Report typesConference contributionpeer-review

Abstract (may include machine translation)

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 understand human activity patterns. I will discuss recent effort to explore human activity patterns, using the mobility of individuals as a proxy. As an application, I will show that by measuring the entropy of each individual’s trajectory, we find can explore the underlying predictability of human mobility, raising fundamental questions on how predictable we really are. I will also discuss the interplay between human mobilty, social links, and the predictive power of data mining.

Original languageEnglish
Title of host publicationMachine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings
EditorsDimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
PublisherSpringer Verlag
Pages3
Number of pages1
ISBN (Print)9783642237799
DOIs
StatePublished - 2011
Externally publishedYes
EventEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2011 - Athens, Greece
Duration: 5 Sep 20119 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6911 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2011
Country/TerritoryGreece
CityAthens
Period5/09/119/09/11

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