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Pervasive social context: Taxonomy and survey

Authors:

Daniel Schuster,

Thomas Springer,

Franco ZambonelliAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 4, Issue 3

Article No.: 46, Pages 1 - 22

https://doi.org/10.1145/2483669.2483679

Published: 01 July 2013 Publication History

Abstract

As pervasive computing meets social networks, there is a fast growing research field called pervasive social computing. Applications in this area exploit the richness of information arising out of people using sensor-equipped pervasive devices in their everyday life combined with intense use of different social networking services. We call this set of information pervasive social context. We provide a taxonomy to classify pervasive social context along the dimensions space, time, people, and information source (STiPI) as well as commenting on the type and reason for creating such context. A survey of recent research shows the applicability and usefulness of the taxonomy in classifying and assessing applications and systems in the area of pervasive social computing. Finally, we present some research challenges in this area and illustrate how they affect the systems being surveyed.

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Index Terms

Pervasive social context: Taxonomy and survey
1. Networks
  1. Network protocols

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cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 4, Issue 3

Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction

June 2013

435 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2483669

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Copyright © 2013 ACM.

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Publication History

Published: 01 July 2013

Accepted: 01 December 2011

Revised: 01 November 2011

Received: 01 June 2011

Published in TIST Volume 4, Issue 3

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https://doi.org/10.3390/iot2010003
Beierle FBeierle F(2021)Related WorkIntegrating Psychoinformatics with Ubiquitous Social Networking10.1007/978-3-030-68840-0_8(81-96)Online publication date: 20-Jan-2021
https://doi.org/10.1007/978-3-030-68840-0_8
Abeywickrama DBicocchi NMamei MZambonelli F(2020)The SOTA approach to engineering collective adaptive systemsInternational Journal on Software Tools for Technology Transfer (STTT)10.1007/s10009-020-00554-322:4(399-415)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s10009-020-00554-3
Vasconcellos e Souza IPereira WLima J(2018)An Approach for Detecting Social Interactions on Mobile DevicesMobile Applications and Solutions for Social Inclusion10.4018/978-1-5225-5270-3.ch001(1-27)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5270-3.ch001
Mylonas P(2018)The Evolution of Contextual Information Processing in InformaticsInformation10.3390/info90300479:3(47)Online publication date: 27-Feb-2018
https://doi.org/10.3390/info9030047
Navarro Nda Costa CBarbosa JRighi R(2018)Spontaneous Social Network: toward dynamic virtual communities based on context-aware computingExpert Systems with Applications10.1016/j.eswa.2017.11.01795(72-87)Online publication date: Apr-2018
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Mylonas P(2018)A survey on context in modern humanistic computingComputers & Electrical Engineering10.1016/j.compeleceng.2017.10.02365(488-495)Online publication date: Jan-2018
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Machado KBoukerche Ade Melo PCerqueira ELoureiro A(2016)Exploring seasonal human behavior in opportunistic mobile networks2016 IEEE International Conference on Communications (ICC)10.1109/ICC.2016.7510710(1-6)Online publication date: May-2016
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Machado KBoukerche AVaz de Melo PCerqueira ELoureiro A(2016)Pervasive forwarding mechanism for mobile social networksComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2016.08.022111:C(6-16)Online publication date: 24-Dec-2016
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