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Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

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Published on: January 26, 2024

Returners and explorers dichotomy in human mobility.

Luca Pappalardo^1,2,3,4, Filippo Simini^4,5,6, Salvatore Rinzivillo¹

¹Institute of Information Science and Technology (ISTI), National Research Council (CNR), Via G. Moruzzi 1, 56124 Pisa, Italy.

Nature Communications

|September 9, 2015

Summary

This summary is machine-generated.

Human mobility exhibits surprising predictability despite variable travel distances. This study identifies distinct "returner" and "explorer" groups, revealing their unique roles in spreading phenomena and social interactions.

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Area of Science:

Human mobility patterns
Complex systems science
Quantitative social science

Background:

Massive digital traces offer insights into human movement.
Studies show variable individual travel distances coexist with predictable locations.

Purpose of the Study:

Investigate the impact of recurrent mobility on characteristic travel distance.
Explain the coexistence of mobility variability and predictability.
Develop improved human mobility models.

Main Methods:

Analysis of mobile phone and GPS data.
Identification of distinct individual mobility classes.
Development of novel computational models.

Main Results:

Discovery of two distinct individual classes: returners and explorers.
Existing models fail to explain these distinct classes.
Returners and explorers have quantifiable, distinct roles in spreading phenomena.

Conclusions:

Recurrent mobility significantly impacts individual travel distances.
New models are needed to accurately represent human mobility.
Mobility patterns correlate with social interactions and influence spreading dynamics.