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Introducing Community Awareness to Location-Based Social Networks

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Internet of Things. IoT Infrastructures (IoT360 2014)

Abstract

During the last years, Social Networks have been in the spotlight of many researchers, trying to enhance them with pervasive features that will simplify and facilitate users’ experience. One of the most innovative additions to social networks has been the introduction of communities in users’ lifecycle. However, there are still a lot of issues regarding the automation of this feature in order to minimize user’s effort to discover new communities and as a result, to improve his experience. In this paper, we introduce the use of communities in location-based social networks. We also present the proposed systems architecture including Processes and Services.

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References

  1. Facebook: https://www.facebook.com

  2. Twitter: https://twitter.com

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Acknowledgments

This work has been performed under the Greek National project WikiZen (11ΣΥΝ_10_1808), which has received research funding from the Operational Programme “Competitiveness & Entrepreneurship” of the National Strategic Reference Framework NSRF 2007–2013. This paper reflects only the authors’ views, and the Operational Programme is not liable for any use that may be made of the information contained therein.

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Correspondence to Pavlos Kosmides .

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Kosmides, P., Remoundou, C., Loumiotis, I., Adamopoulou, E., Demestichas, K. (2015). Introducing Community Awareness to Location-Based Social Networks. In: Giaffreda, R., Cagáňová, D., Li, Y., Riggio, R., Voisard, A. (eds) Internet of Things. IoT Infrastructures. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-319-19743-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-19743-2_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19742-5

  • Online ISBN: 978-3-319-19743-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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