Literature DB >> 31097800

Evidence for a conserved quantity in human mobility.

Laura Alessandretti1,2, Piotr Sapiezynski2, Vedran Sekara2,3, Sune Lehmann4,5, Andrea Baronchelli6.   

Abstract

Recent seminal works on human mobility have shown that individuals constantly exploit a small set of repeatedly visited locations1-3. A concurrent study has emphasized the explorative nature of human behaviour, showing that the number of visited places grows steadily over time4-7. How to reconcile these seemingly contradicting facts remains an open question. Here, we analyse high-resolution multi-year traces of ~40,000 individuals from 4 datasets and show that this tension vanishes when the long-term evolution of mobility patterns is considered. We reveal that mobility patterns evolve significantly yet smoothly, and that the number of familiar locations an individual visits at any point is a conserved quantity with a typical size of ~25. We use this finding to improve state-of-the-art modelling of human mobility4,8. Furthermore, shifting the attention from aggregated quantities to individual behaviour, we show that the size of an individual's set of preferred locations correlates with their number of social interactions. This result suggests a connection between the conserved quantity we identify, which as we show cannot be understood purely on the basis of time constraints, and the 'Dunbar number'9,10 describing a cognitive upper limit to an individual's number of social relations. We anticipate that our work will spark further research linking the study of human mobility and the cognitive and behavioural sciences.

Entities:  

Mesh:

Year:  2018        PMID: 31097800     DOI: 10.1038/s41562-018-0364-x

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  19 in total

1.  Endogenous social distancing and its underappreciated impact on the epidemic curve.

Authors:  Marko Gosak; Moritz U G Kraemer; Heinrich H Nax; Matjaž Perc; Bary S R Pradelski
Journal:  Sci Rep       Date:  2021-02-04       Impact factor: 4.379

2.  Uncovering the differences and similarities between physical and virtual mobility.

Authors:  Surendra Hazarie; Hugo Barbosa; Adam Frank; Ronaldo Menezes; Gourab Ghoshal
Journal:  J R Soc Interface       Date:  2020-07-22       Impact factor: 4.118

3.  Modeling human migration driven by changing mindset, agglomeration, social ties, and the environment.

Authors:  Gonzalo Suarez; Rachata Muneepeerakul
Journal:  PLoS One       Date:  2022-02-28       Impact factor: 3.240

4.  How Short Is Long Enough? Modeling Temporal Aspects of Human Mobility Behavior Using Mobile Phone Data.

Authors:  Eun-Hye Yoo
Journal:  Ann Am Assoc Geogr       Date:  2019-05-20

5.  Recent advances in urban system science: Models and data.

Authors:  Elsa Arcaute; José J Ramasco
Journal:  PLoS One       Date:  2022-08-17       Impact factor: 3.752

6.  Smithian growth in a nonindustrial society.

Authors:  Scott Ortman; José Lobo
Journal:  Sci Adv       Date:  2020-06-19       Impact factor: 14.136

7.  Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth.

Authors:  Andreas Bjerre-Nielsen; Kelton Minor; Piotr Sapieżyński; Sune Lehmann; David Dreyer Lassen
Journal:  PLoS One       Date:  2020-07-02       Impact factor: 3.240

8.  Strategies and limitations in app usage and human mobility.

Authors:  Marco De Nadai; Angelo Cardoso; Antonio Lima; Bruno Lepri; Nuria Oliver
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

9.  Selective exposure shapes the Facebook news diet.

Authors:  Matteo Cinelli; Emanuele Brugnoli; Ana Lucia Schmidt; Fabiana Zollo; Walter Quattrociocchi; Antonio Scala
Journal:  PLoS One       Date:  2020-03-13       Impact factor: 3.240

10.  Absence makes the heart grow fonder: social compensation when failure to interact risks weakening a relationship.

Authors:  Kunal Bhattacharya; Asim Ghosh; Daniel Monsivais; Robin Dunbar; Kimmo Kaski
Journal:  EPJ Data Sci       Date:  2017-01-05       Impact factor: 3.184

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