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Modelling Inter-contact Times in Social Pervasive Networks

机译:建模社交普及网络中的联系时间

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Thanks to the diffusion of mobile user devices (e.g. smart-phones) 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.
机译:由于具有丰富计算和联网功能的移动用户设备(例如智能手机)的普及,我们见证了设备的网络世界与用户的物理世界之间日益紧密的集成。从这个角度来看,普及网络(以下称为社交普及网络,SPN)的可能发展在于在设备网络中紧密映射人类的社会结构。设备之间的链接将对应于用户之间的社交关系,而设备之间的通信事件将对应于用户之间的通信。可以看出,SPN转发协议的基本收敛特性是由接触时间的分布决定的。各个节点之间的时间间隔(即两个节点之间两次连续的通信事件之间经过的时间)。单个对的接触时间很难完全确定,而总的接触时间的分布通常更方便。但是,合计分布并不总是代表各个对分布。因此,使用它来表征SPN转发协议的属性可能不正确。在本文中,我们从人类学文献中提供了基于人类社会网络基本模型的分析模型,该模型显示了两者在异构SPN中的确切依赖关系。此外,我们使用该模型来进行以下操作:i)研究不足以分析聚合分布的情况; ii)找到足以保证研究聚合分布足以表征SPN转发协议属性的条件。

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