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Impact of Human Mobility on Opportunistic Forwarding Algorithms
IEEE Transactions on Mobile Computing
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Proceedings of the 13th annual ACM international conference on Mobile computing and networking
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IEEE/ACM Transactions on Networking (TON)
Toward stochastic anatomy of inter-meeting time distribution under general mobility models
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
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Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
SIMPS: using sociology for personal mobility
IEEE/ACM Transactions on Networking (TON)
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IEEE Transactions on Mobile Computing
A survey of mobile phone sensing
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SASO '10 Proceedings of the 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems
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Characterising aggregate inter-contact times in heterogeneous opportunistic networks
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks
IEEE Transactions on Mobile Computing
Opportunistic networking: data forwarding in disconnected mobile ad hoc networks
IEEE Communications Magazine
Ego network models for Future Internet social networking environments
Computer Communications
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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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.