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首页> 外文会议>Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining >Togetherness: An algorithmic approach to network integration
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Togetherness: An algorithmic approach to network integration

机译：团结：网络集成的算法方法

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摘要

Network integration refers to a process of building links between two networks so that they dissolve into a single unified network. Togetherness measures the proximity of these two networks as they integrate; this notion is fundamental to social networks as it is relevant to important concepts such as trust, coherence and solidarity. In this paper, we study the algorithmic nature of network integration and formally introduce three notions of togetherness. We analyze the corresponding computational problems of network integration: Given two networks and a desired level of togetherness, build links between members of these networks so that the overall network meets the togetherness criterion. We analyze optimal solutions to this problem, describe several heuristics and compare their performance through experimental analysis.
机译：网络集成是指在两个网络之间建立链接以使它们分解为单个统一网络的过程。团结是衡量这两个网络整合时的接近程度。这个概念对于社交网络至关重要，因为它与重要的概念（例如信任，一致性和团结）相关。在本文中，我们研究了网络集成的算法性质，并正式介绍了三种统一性概念。我们分析了网络集成的相应计算问题：给定两个网络并达到所需的整体性水平，请在这些网络的成员之间建立链接，以使整个网络满足整体性标准。我们分析了此问题的最佳解决方案，描述了几种启发式方法，并通过实验分析比较了它们的性能。

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