Journal
2016 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY PROCEEDINGS - CYBERC 2016
Volume -, Issue -, Pages 364-367Publisher
IEEE
DOI: 10.1109/CyberC.2016.76
Keywords
human mobility; scaling law; Location Based Service(LBS); Zipf's Law; Heaps' Law
Funding
- National Natural Science Foundation of China [61473060]
- Research Foundation of UESTC
- Hong Kong Scholars Program [XJ2013019, G-YZ4D]
- Bidding Foundation of Shanghai Research Institute of Publishing and Media [SABY1403]
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Point-of-interest (POI) denotes the category of a location people visit, reflecting the daily life and personal interests. Through a massive dataset of check-in records, this paper discloses that the POI visiting pattern of human spatial mobility falling into both Zipf's law and Heaps' law. It is found that people always have three potential choices when selecting a particular POI as their next travel destination, namely, exploring a new POI, returning to a visited one, or staying at the current one. We calculate the probabilities of these scenarios and propose a statistical model based on random walk to represent such phenomena. Simulation results show that our model can well reproduce the heterogeneous Zipf's law and Heaps' law of human mobility.
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