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A Generalized Notion of Time for Modeling Temporal Networks

机译:用于建模时间网络的广义概念

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Most approaches for modeling and analyzing temporal networks do not explicitly discuss the underlying notion of time. In this paper, we therefore introduce a generalized notion of time for temporal networks. Our approach also allows for considering non-deterministic time and incomplete data, two issues that are often found when analyzing data-sets extracted from online social networks, for example. In order to demonstrate the consequences of our generalized notion of time, we also discuss the implications for the computation of (shortest) temporal paths in temporal networks.
机译:大多数用于建模和分析时间网络的方法都没有明确讨论基础的时间概念。在本文中,我们引入了时间网络的广义时间通知时间。我们的方法还允许考虑非确定性时间和不完整的数据,例如在分析从在线社交网络中提取的数据集时经常发现的两个问题。为了展示我们广泛的时间概念的后果,我们还讨论了对时间网络中的(最短)时间路径计算的影响。

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