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GWAP as a Tool to Analyze, Design, and Test Geo-Social Systems

GWAP as a Tool to Analyze, Design, and Test Geo-Social Systems

Martina Deplano, Giancarlo Ruffo
Copyright: © 2013 |Pages: 28
ISBN13: 9781466628335|ISBN10: 1466628332|EISBN13: 9781466628342
DOI: 10.4018/978-1-4666-2833-5.ch016
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MLA

Deplano, Martina, and Giancarlo Ruffo. "GWAP as a Tool to Analyze, Design, and Test Geo-Social Systems." Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools, edited by Dimitris Kanellopoulos, IGI Global, 2013, pp. 380-407. https://doi.org/10.4018/978-1-4666-2833-5.ch016

APA

Deplano, M. & Ruffo, G. (2013). GWAP as a Tool to Analyze, Design, and Test Geo-Social Systems. In D. Kanellopoulos (Ed.), Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools (pp. 380-407). IGI Global. https://doi.org/10.4018/978-1-4666-2833-5.ch016

Chicago

Deplano, Martina, and Giancarlo Ruffo. "GWAP as a Tool to Analyze, Design, and Test Geo-Social Systems." In Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools, edited by Dimitris Kanellopoulos, 380-407. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2833-5.ch016

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Abstract

In this chapter, the authors discuss the state-of-the-art of Geo-Social systems and Recommender systems, which are becoming extremely popular for users accessing social media trough mobile devices. Moreover, they introduce a general framework based on the interaction among those systems and the “Game With A Purpose” (GWAP) paradigm. The proposed framework/platform can help researchers to understand geo-social dynamics in order to design and test new services, such as recommenders of places of interest for tourists, real-time traffic information systems, personalized suggestions of social events, and so forth. To target the governance of such complexity, relevant data must be collected by the investigators, shared with the community, and analyzed to find dynamical patterns that correlate spatial-temporal information with the user’s preferences and objectives. The authors argue that the GWAP approach can be exploited to successfully satisfy many of these tasks.

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