Titlebook: Citizen in Sensor Networks; Second International Jordi Nin,Daniel Villatoro Conference proceedings 2014 Springer International Publishing S

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https://doi.org/10.1007/978-3-030-74705-3able geo-positioned social media traces left by the citizens (namely Twitter). By collecting a large set of geo-located tweets characterizing a specific urban area over time, we semantically enrich the available tweets with information about its author – i.e. a resident or a tourist – and the purpos

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and the Provision of Health Care,people, but existing approaches fail to solve this conundrum. Thus, there is an urgent demand for reputable, motivated, and replicable solutions that can be used by cities of any size. We are proposing an experiment to analyse the interplay between incentive mechanisms, user participation, and the t

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Lecture Notes in Computer Science smartphones. The performance of such sensor networks depends heavily on the mobility of the users and their willingness to collaborate. It is hard to obtain a stable set of users to evaluate such kinds of sensor networks and, for that reason, studies of crowdsensing networks are scarce. In this pap

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,Contextuality in Distributed Systems,ver, tracking migration is costly, and available data tends to be outdated. Online data can be used to extract proxies for migration flows, and these proxies would not be meant to replicate traditional measurements but are meant to complement them. We analyze a random sample of a microblogging servi

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