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Diversity of individual mobility patterns and emergence of aggregated scaling laws

Overview of attention for article published in Scientific Reports, September 2013
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3 X users

Citations

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137 Dimensions

Readers on

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128 Mendeley
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1 CiteULike
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Title
Diversity of individual mobility patterns and emergence of aggregated scaling laws
Published in
Scientific Reports, September 2013
DOI 10.1038/srep02678
Pubmed ID
Authors

Xiao-Yong Yan, Xiao-Pu Han, Bing-Hong Wang, Tao Zhou

Abstract

Uncovering human mobility patterns is of fundamental importance to the understanding of epidemic spreading, urban transportation and other socioeconomic dynamics embodying spatiality and human travel. According to the direct travel diaries of volunteers, we show the absence of scaling properties in the displacement distribution at the individual level,while the aggregated displacement distribution follows a power law with an exponential cutoff. Given the constraint on total travelling cost, this aggregated scaling law can be analytically predicted by the mixture nature of human travel under the principle of maximum entropy. A direct corollary of such theory is that the displacement distribution of a single mode of transportation should follow an exponential law, which also gets supportive evidences in known data. We thus conclude that the travelling cost shapes the displacement distribution at the aggregated level.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
United Kingdom 2 2%
United States 2 2%
Malaysia 1 <1%
Australia 1 <1%
Portugal 1 <1%
Spain 1 <1%
Italy 1 <1%
Unknown 117 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 28%
Researcher 16 13%
Student > Master 16 13%
Professor > Associate Professor 11 9%
Student > Doctoral Student 7 5%
Other 26 20%
Unknown 16 13%
Readers by discipline Count As %
Computer Science 29 23%
Engineering 21 16%
Physics and Astronomy 16 13%
Social Sciences 12 9%
Earth and Planetary Sciences 7 5%
Other 20 16%
Unknown 23 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 September 2013.
All research outputs
#15,332,207
of 23,577,654 outputs
Outputs from Scientific Reports
#75,370
of 127,511 outputs
Outputs of similar age
#121,167
of 203,511 outputs
Outputs of similar age from Scientific Reports
#372
of 640 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 203,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 640 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.