嵌入双曲空间的移动社交网络贪婪转发

Jingwei Zhang
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引用次数: 7

摘要

在这项工作中,我们设计和评估了一种新的贪婪转发算法,该算法使用双曲空间中的度量。双曲几何具有自然的无标度网络拓扑反射,贪婪算法在欧几里得空间中失败,在双曲几何中成为可能。我们的研究表明,移动社交网络可以成功嵌入到这样的空间中,并在消息传递率和成本方面获得有竞争力的表现。在这一结果下,我们由此直观地揭示了著名的BUBBLE Rap取得最佳表现的根本原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Greedy forwarding for mobile social networks embedded in hyperbolic spaces
In this work, we design and evaluate a novel greedy forwarding algorithm using metrics in hyperbolic spaces. Hyperbolic geometry has a natural topological reflection of scale-free networks, and greedy algorithm failed in Euclidean space becomes possible in hyperbolic one. We show that mobile social networks can be successfully embedded in such spaces, and obtains competitive performance in terms of message delivery ratio and cost. Under this result, we thus intuitively reveal the fundamental reason that why the famous BUBBLE Rap achieves the optimal performance.
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