We present an accurate user-encounter trace generator based on analytical models. Our method generates traces of intercontact times faster than models that explicitly generate mobility traces. We use this trace generator to study the characteristics of pair-wise intercontact-time distributions and visualize, using simulations, how they combine to form the aggregate intercontact-time distribution. Finally, we apply our trace-generation model to the epidemic routing protocol.

翻译：我们根据分析模型展示了精确的用户反向跟踪生成器。我们的方法比明显产生移动痕迹的模型产生接触时间的痕迹要快。我们用这个跟踪生成器来研究双向接触时间分布的特性,并用模拟来想象它们是如何结合形成总的交互时间分布的。最后,我们用我们的微量生成模型来应用流行病路径协议。