demonstration

Sensing multi-dimensional human behavior in opportunistic networks

Authors:

Sabrina Gaito,

Elena Pagani,

Gian Paolo Rossi,

Matteo ZignaniAuthors Info & Claims

MobiOpp '12: Proceedings of the third ACM international workshop on Mobile Opportunistic Networks

Pages 89 - 90

https://doi.org/10.1145/2159576.2159599

Published: 15 March 2012 Publication History

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Abstract

The massive spread of small personal devices equipped with different radio technologies is enabling the formation of a heterogeneous wireless networking platform on top of which new mobile computing services are deployed to flexibly and ubiquitously reach a target user. With the emerging of ubiquitous wireless communications, mobile applications are becoming highly personalized and influenced by user location, mobility, social attitudes and interests, or, shortly, by his/her behavior. In this work, we propose a framework having the aim of capturing and allowing the modeling the multiple dimensions of the human behavior. In order to measure and perform a cross analysis of those dimensions, we briefly describe an Android-based application able to collect face-to-face encounters and online social relations of a certain set of users.

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Cited By

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Socievole ACaputo AMarano SDe Rango FMittal SRisco Martín JCetinkaya D(2015)Multi-layer sociality in opportunistic networksProceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems10.5555/2874988.2874999(1-8)Online publication date: 26-Jul-2015
https://dl.acm.org/doi/10.5555/2874988.2874999
Socievole ACaputo AMarano S(2015)Multi-layer sociality in opportunistic networks: An extensive analysis of online and offline node social behaviors2015 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)10.1109/SPECTS.2015.7285280(1-8)Online publication date: Jul-2015
https://doi.org/10.1109/SPECTS.2015.7285280
Akbas MAvula RBassiouni MTurgut D(2013)Social network generation and friend ranking based on mobile phone data2013 IEEE International Conference on Communications (ICC)10.1109/ICC.2013.6654714(1444-1448)Online publication date: Jun-2013
https://doi.org/10.1109/ICC.2013.6654714

Index Terms

Sensing multi-dimensional human behavior in opportunistic networks
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation

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Information & Contributors

Information

Published In

MobiOpp '12: Proceedings of the third ACM international workshop on Mobile Opportunistic Networks

March 2012

106 pages

ISBN:9781450312080

DOI:10.1145/2159576

General Chair:
Bernhard Plattner
ETH Zürich
,
Program Chairs:
Cecilia Mascolo
University of Cambridge
,
Franck Legendre
ETH Zürich

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2012

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Demonstration

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MobiOpp' 12

Sponsor:

SIGMOBILE

MobiOpp' 12: Workshop on Mobile Opportunistic Networking

March 15 - 16, 2012

Zürich, Switzerland

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Socievole ACaputo AMarano SDe Rango FMittal SRisco Martín JCetinkaya D(2015)Multi-layer sociality in opportunistic networksProceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems10.5555/2874988.2874999(1-8)Online publication date: 26-Jul-2015
https://dl.acm.org/doi/10.5555/2874988.2874999
Socievole ACaputo AMarano S(2015)Multi-layer sociality in opportunistic networks: An extensive analysis of online and offline node social behaviors2015 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)10.1109/SPECTS.2015.7285280(1-8)Online publication date: Jul-2015
https://doi.org/10.1109/SPECTS.2015.7285280
Akbas MAvula RBassiouni MTurgut D(2013)Social network generation and friend ranking based on mobile phone data2013 IEEE International Conference on Communications (ICC)10.1109/ICC.2013.6654714(1444-1448)Online publication date: Jun-2013
https://doi.org/10.1109/ICC.2013.6654714

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