Wireless epidemic spread in dynamic human networks

Eiko Yoneki; Pan Hui; Jon Crowcroft

doi:10.1007/978-3-540-92191-2_11

Wireless epidemic spread in dynamic human networks

Eiko Yoneki^*
, Pan Hui
, Jon Crowcroft

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

30 Citations (Scopus)

Abstract

The emergence of Delay Tolerant Networks (DTNs) has culminated in a new generation of wireless networking. New communication paradigms, which use dynamic interconnectedness as people encounter each other opportunistically, lead towards a world where digital traffic flows more easily. We focus on human-to-human communication in environments that exhibit the characteristics of social networks. This paper describes our study of information flow during epidemic spread in such dynamic human networks, a topic which shares many issues with network-based epidemiology. We explore hub nodes extracted from real world connectivity traces and show their influence on the epidemic to demonstrate the characteristics of information propagation.

Original language	English
Title of host publication	Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers
Pages	116-132
Number of pages	17
DOIs	https://doi.org/10.1007/978-3-540-92191-2_11
Publication status	Published - 2008
Externally published	Yes
Event	1st Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 - Cambridge, United Kingdom Duration: 2 Apr 2007 → 5 Apr 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5151 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007
Country/Territory	United Kingdom
City	Cambridge
Period	2/04/07 → 5/04/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Connectivity modelling and analysis
Delay tolerant networks
Network measurement
Social networks
Time dependent networks

Access to Document

10.1007/978-3-540-92191-2_11

Cite this

Yoneki, E., Hui, P., & Crowcroft, J. (2008). Wireless epidemic spread in dynamic human networks. In Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers (pp. 116-132). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5151 LNCS). https://doi.org/10.1007/978-3-540-92191-2_11

Yoneki, Eiko ; Hui, Pan ; Crowcroft, Jon. / Wireless epidemic spread in dynamic human networks. Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers. 2008. pp. 116-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Wireless epidemic spread in dynamic human networks",

abstract = "The emergence of Delay Tolerant Networks (DTNs) has culminated in a new generation of wireless networking. New communication paradigms, which use dynamic interconnectedness as people encounter each other opportunistically, lead towards a world where digital traffic flows more easily. We focus on human-to-human communication in environments that exhibit the characteristics of social networks. This paper describes our study of information flow during epidemic spread in such dynamic human networks, a topic which shares many issues with network-based epidemiology. We explore hub nodes extracted from real world connectivity traces and show their influence on the epidemic to demonstrate the characteristics of information propagation.",

keywords = "Connectivity modelling and analysis, Delay tolerant networks, Network measurement, Social networks, Time dependent networks",

author = "Eiko Yoneki and Pan Hui and Jon Crowcroft",

year = "2008",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "116--132",

booktitle = "Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers",

note = "1st Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 ; Conference date: 02-04-2007 Through 05-04-2007",

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Yoneki, E, Hui, P & Crowcroft, J 2008, Wireless epidemic spread in dynamic human networks. in Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5151 LNCS, pp. 116-132, 1st Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Cambridge, United Kingdom, 2/04/07. https://doi.org/10.1007/978-3-540-92191-2_11

Wireless epidemic spread in dynamic human networks. / Yoneki, Eiko; Hui, Pan; Crowcroft, Jon.
Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers. 2008. p. 116-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5151 LNCS).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Wireless epidemic spread in dynamic human networks

AU - Yoneki, Eiko

AU - Hui, Pan

AU - Crowcroft, Jon

PY - 2008

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N2 - The emergence of Delay Tolerant Networks (DTNs) has culminated in a new generation of wireless networking. New communication paradigms, which use dynamic interconnectedness as people encounter each other opportunistically, lead towards a world where digital traffic flows more easily. We focus on human-to-human communication in environments that exhibit the characteristics of social networks. This paper describes our study of information flow during epidemic spread in such dynamic human networks, a topic which shares many issues with network-based epidemiology. We explore hub nodes extracted from real world connectivity traces and show their influence on the epidemic to demonstrate the characteristics of information propagation.

AB - The emergence of Delay Tolerant Networks (DTNs) has culminated in a new generation of wireless networking. New communication paradigms, which use dynamic interconnectedness as people encounter each other opportunistically, lead towards a world where digital traffic flows more easily. We focus on human-to-human communication in environments that exhibit the characteristics of social networks. This paper describes our study of information flow during epidemic spread in such dynamic human networks, a topic which shares many issues with network-based epidemiology. We explore hub nodes extracted from real world connectivity traces and show their influence on the epidemic to demonstrate the characteristics of information propagation.

KW - Connectivity modelling and analysis

KW - Delay tolerant networks

KW - Network measurement

KW - Social networks

KW - Time dependent networks

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DO - 10.1007/978-3-540-92191-2_11

M3 - Conference Paper published in a book

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SN - 3540921907

SN - 9783540921905

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 116

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BT - Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers

T2 - 1st Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007

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ER -

Yoneki E, Hui P, Crowcroft J. Wireless epidemic spread in dynamic human networks. In Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers. 2008. p. 116-132. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-92191-2_11

Wireless epidemic spread in dynamic human networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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