<p>We show the accuracy of the collected samples, radius of gyration of the participants, and identify patterns of collective mobility.</p
In the last decade, scientists from different disciplines discov-ered a great heterogeneity in human...
Sampling fraction is crucial to sampling-related studies and applications, especially in the big dat...
Human Mobility has attracted attentions from different fields of studies such as epidemic modeling, ...
Typically, movement data of a moving entity (e.g., people, animal, or other moving objects) is descr...
The sample can be segmented into four mutually exclusive subgroups: (1) participants (n = 228) who c...
This FYP about Personal Positioning and Location Inferences is a study on analyzing the location dat...
<p><sup>(1)</sup> Samples used for the analysis of departures</p><p><sup>(2)</sup> Samples used for ...
Collective phenomena are ubiquitous in our every day lives; each day we are likely to observe or tak...
The study of human mobility patterns is important for both understanding human behaviour, a social p...
The recent availability of digital traces generated by phone calls and online logins has significant...
Human movements have often been modelled as diffusion processes and as a random walk (e.g. Brockmann...
The Mobile CrowdSensing (MCS) paradigm has been increasingly adopted in the last years. Its adoption...
A, The distribution of gyration radius rg under time scales δ ≥ 7.5min, 30min, 2hour, 8hour, 32hour....
Despite the recent availability of large data sets on human movements, a full understanding of the r...
Recent studies have leveraged tracking techniques based on positioning technologiesto discover new k...
In the last decade, scientists from different disciplines discov-ered a great heterogeneity in human...
Sampling fraction is crucial to sampling-related studies and applications, especially in the big dat...
Human Mobility has attracted attentions from different fields of studies such as epidemic modeling, ...
Typically, movement data of a moving entity (e.g., people, animal, or other moving objects) is descr...
The sample can be segmented into four mutually exclusive subgroups: (1) participants (n = 228) who c...
This FYP about Personal Positioning and Location Inferences is a study on analyzing the location dat...
<p><sup>(1)</sup> Samples used for the analysis of departures</p><p><sup>(2)</sup> Samples used for ...
Collective phenomena are ubiquitous in our every day lives; each day we are likely to observe or tak...
The study of human mobility patterns is important for both understanding human behaviour, a social p...
The recent availability of digital traces generated by phone calls and online logins has significant...
Human movements have often been modelled as diffusion processes and as a random walk (e.g. Brockmann...
The Mobile CrowdSensing (MCS) paradigm has been increasingly adopted in the last years. Its adoption...
A, The distribution of gyration radius rg under time scales δ ≥ 7.5min, 30min, 2hour, 8hour, 32hour....
Despite the recent availability of large data sets on human movements, a full understanding of the r...
Recent studies have leveraged tracking techniques based on positioning technologiesto discover new k...
In the last decade, scientists from different disciplines discov-ered a great heterogeneity in human...
Sampling fraction is crucial to sampling-related studies and applications, especially in the big dat...
Human Mobility has attracted attentions from different fields of studies such as epidemic modeling, ...
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