↓ Skip to main content

PLOS

Correlations and Scaling Laws in Human Mobility

Overview of attention for article published in PLOS ONE, January 2014
Altmetric Badge

Mentioned by

twitter
8 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
65 Mendeley
Title
Correlations and Scaling Laws in Human Mobility
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0084954
Pubmed ID
Authors

Xiang-Wen Wang, Xiao-Pu Han, Bing-Hong Wang

Abstract

In recent years, several path-breaking findings on human mobility patterns point out a novel issue which is of important theoretical significance and great application prospects. The empirical analysis of the data which can reflect the real-world human mobility provides the basic cognition and verification of the theoretical models and predictive results on human mobility. One of the most noticeable findings in previous studies on human mobility is the wide-spread scaling anomalies, e.g. the power-law-like displacement distributions. Understanding the origin of these scaling anomalies is of central importance to this issue and therefore is the focus of our discussion.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Switzerland 1 2%
Netherlands 1 2%
Australia 1 2%
Brazil 1 2%
Denmark 1 2%
United States 1 2%
Luxembourg 1 2%
Unknown 57 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 26%
Researcher 14 22%
Student > Master 9 14%
Other 7 11%
Student > Doctoral Student 4 6%
Other 8 12%
Unknown 6 9%
Readers by discipline Count As %
Computer Science 16 25%
Engineering 8 12%
Physics and Astronomy 7 11%
Social Sciences 7 11%
Earth and Planetary Sciences 4 6%
Other 12 18%
Unknown 11 17%