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Additional info for Citizen in Sensor Networks: Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers
This is similar to the proposed in Chen et al. . Alternatively, Yan et al.  proposes to provide a monetary incentive. Nevertheless, these have not been tested in an real-world experiment leaving a gap for experimentation. In our project, we hypothesise that the main motivating factors for reporting parking spaces are: reciprocity, reputation, altruism, and money. Altruism and reciprocity seem straightforward: people are reporting parking spaces out of sympathy for others, or by installing the app they intend to use it to search for parking spaces when they are in need, and hope others will be reporting them (reciprocating).
Springer, Heidelberg (2009) 4. : Measuring geographical regularities of crowd behaviors for twitter-based geo-social event detection. In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks, LBSN ’10, pp. 1–10. ACM, New York (2010) 5. : Discovery of unusual regional social activities using geo-tagged microblogs. World Wide Web 14(4), 321–349 (2011) 6. : Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web, WWW ’10, pp.
G. ). However, the motion behaviour of the users in a crowdsensing application highly differs from such models. Instead, the mobility of users is strongly influenced by their daily activities and by the infrastructure of the area in which they are located. Under these assumptions, we present a graph-based approach to model the mobility of crowdsensing network users, taking into account the time constraints of their daily life activities and those of the infrastructure underlying the sensor network.