People mobility enormously augmented in the last decades. However, despite the increased possibilities of fast reaching far places, the places that a person commonly visits remain limited in number. The number of visited places of each person is regulated by some laws that are statistically similar among individuals. In our previous work, we firstly argued that a person visit most frequently always few places, and we confirmed that by some initial experiments. Here, in addition to further validating this result, we build a more sophisticate view of the places visited by the people. Namely, on top of our previous work, which identifies the class of Mostly Visited Points of Interest, we define two next classes: the Occasionally and the Except...
The recent availability of human mobility traces has driven a new wave of research on human movement...
The individual movements of large numbers of people are important in many contexts, from urban plann...
In this paper we propose an algorithm to identify sets of the most frequently visited tourist sites....
Our era of increased people mobility requires a better understanding of how people move, how many ar...
Human mobility exhibits power-law distributed visitation patterns; i.e., a few locations are visited...
The recent availability of human mobility traces has driven a new wave of research -- on human movem...
The current age of increased people mobility calls for a better understanding of how people move: ho...
Recent seminal works on human mobility have shown that individuals constantly exploit a small set of...
International audienceUnderstanding human mobility patterns is crucial to fields such as urban mobil...
The advent of geographic online social networks such as Foursquare, where users voluntarily signal t...
The dichotomy between two opposite propensities, exploration and exploitation, characterizes and dri...
When observing the temporal trajectory of an individual, the probability of visiting a new place dec...
The advent of geographic online social networks such as Foursquare, where users voluntarily signal t...
Urban and regional areas worldwide exhibit a complex and uneven distribution of activities with cert...
International audienceHuman mobility literature is limited in their ability to capture the novelty-s...
The recent availability of human mobility traces has driven a new wave of research on human movement...
The individual movements of large numbers of people are important in many contexts, from urban plann...
In this paper we propose an algorithm to identify sets of the most frequently visited tourist sites....
Our era of increased people mobility requires a better understanding of how people move, how many ar...
Human mobility exhibits power-law distributed visitation patterns; i.e., a few locations are visited...
The recent availability of human mobility traces has driven a new wave of research -- on human movem...
The current age of increased people mobility calls for a better understanding of how people move: ho...
Recent seminal works on human mobility have shown that individuals constantly exploit a small set of...
International audienceUnderstanding human mobility patterns is crucial to fields such as urban mobil...
The advent of geographic online social networks such as Foursquare, where users voluntarily signal t...
The dichotomy between two opposite propensities, exploration and exploitation, characterizes and dri...
When observing the temporal trajectory of an individual, the probability of visiting a new place dec...
The advent of geographic online social networks such as Foursquare, where users voluntarily signal t...
Urban and regional areas worldwide exhibit a complex and uneven distribution of activities with cert...
International audienceHuman mobility literature is limited in their ability to capture the novelty-s...
The recent availability of human mobility traces has driven a new wave of research on human movement...
The individual movements of large numbers of people are important in many contexts, from urban plann...
In this paper we propose an algorithm to identify sets of the most frequently visited tourist sites....