Trust optimization in task-oriented social networks

J. Zhan, Xing Fang, P. Killion
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引用次数: 7

Abstract

Trust is a human-related phenomenon in social networks. Trust research on social networks has gained much attention on its usefulness, and on modeling propagations. There is little focus on finding maximum trust in social networks which is particularly important when a social network is oriented by certain tasks. In this paper, we first propose a trust maximization algorithm based on the task-oriented social networks. We then take communication cost into account and introduce four different trust optimization algorithms. We also conduct extensive experiments to evaluate the proposed algorithms and test their performance. To our best knowledge, this is pioneering work on trust optimization in task-oriented social networks.
任务型社交网络中的信任优化
信任是社会网络中与人相关的现象。社交网络中的信任研究在有效性和传播建模方面受到了广泛关注。很少有人关注在社交网络中寻找最大的信任,这在社交网络以某些任务为导向时尤为重要。本文首先提出了一种基于任务导向社交网络的信任最大化算法。然后考虑通信成本,介绍了四种不同的信任优化算法。我们还进行了大量的实验来评估所提出的算法并测试其性能。据我们所知,这是面向任务的社交网络中信任优化的开创性工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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