Motivated by the growing number of mobile devices capable of connecting and exchanging messages, we propose a methodology aiming to model and analyze node mobility in networks. We note that many existing solutions in the literature rely on topological measurements calculated directly on the graph of node contacts, aiming to capture the notion of the node's importance in terms of connectivity and mobility patterns beneficial for prototyping, design, and deployment of mobile networks. However, each measure has its specificity and fails to generalize the node importance notions that ultimately change over time. Unlike previous approaches, our methodology is based on a node embedding method that models and unveils the nodes' importance in mobility and connectivity patterns while preserving their spatial and temporal characteristics. We focus on a case study based on a trace of group meetings. The results show that our methodology provides a rich representation for extracting different mobility and connectivity patterns, which can be helpful for various applications and services in mobile networks.
翻译:我们指出,文献中的许多现有解决办法都依赖于直接根据节点接触图计算的地形测量,目的是捕捉节点在连通性和流动模式方面的重要性概念,有利于移动网络的原型、设计和部署。然而,每项措施都有其特性,未能概括最终随时间变化的节点重要性概念。与以往的做法不同,我们的方法基于节点嵌入方法,即模型和展示节点在移动和连通模式中的重要性,同时保持其空间和时间特征。我们侧重于基于小组会议线索的案例研究。结果显示,我们的方法为提取不同的移动和连通模式提供了丰富的代表性,对移动网络的各种应用和服务都可能有所帮助。