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Modelling inter-contact times in social pervasive networks

Content Provider	ACM Digital Library
Author	Passarella, Andrea Dunbar, Robin I.M. Boldrini, Chiara Conti, Marco
Abstract	Thanks to the diffusion of mobile user devices (e.g. smartphones) with rich computing and networking capabilities, we are witnessing an increasing integration between the cyber world of devices and the physical world of users. In this perspective, a possible evolution of pervasive networking (hereafter referred to as social pervasive networks, SPNs) consists in closely mapping human social structures in the network of the devices. Links between devices would correspond to social relationships between users, and communication events between devices would correspond to communications between users. It can be shown that fundamental convergence properties of SPN forwarding protocols are determined by the distributions of inter-contact times between the individual nodes (i.e. the time elapsed between two successive communication events between the nodes). Individual pairs inter-contact times are hard to completely charaterise, while the distribution of the aggregate inter-contact times is often a much more convenient figure. However, the aggregate distribution is not always representative of the individual pairs distributions. Therefore using it to characterise the properties of SPN forwarding protocols might not be correct. In this paper we provide an analytical model based on fundamental models of human social networks from the anthropology literature, which shows the exact dependence between the two in heterogeneous SPNs. Moreover, we use the model to i) study cases in which analysing the aggregate distribution is not enough, and ii) find sufficient conditions that guarantee that studying the aggregate distribution is enough to characterise the properties of SPN forwarding protocols.
Starting Page	333
Ending Page	340
Page Count	8
File Format	PDF
ISBN	9781450308984
DOI	10.1145/2068897.2068955
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Pervasive networks Social networks Modelling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

C Consiglio Nazionale delle Ricerche Modelling inter-contact times in human social pervasive networks

Impact of users inter-contact times on information dissemination in pervasive social networks

A representative and accurate characterization of inter-contact times in mobile opportunistic networks

New approaches for characterizing inter-contact times in opportunistic networks

Rhythm and Randomness in Human Contact

Characterising Aggregate Inter-contact Times in Heterogeneous Opportunistic Networks

Flooding Time in Opportunistic Networks under Power Law and Exponential Inter-Contact Times

Flooding Time in Opportunistic Networks under Power Law and Exponential Inter-Contact Times∗ (2012)

Distribution of inter-contact time: An analysis-based on social relationships

Modelling inter-contact times in social pervasive networks

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