社会感知中的信息流选择:一种相互依赖和成本意识排序方法

G. Gianini, C. Mio, F. Viola, Jianyi Lin, Nawaf I. Almoosa
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引用次数: 1

摘要

在这项工作中,我们解决了社会传感中关键来源选择的问题。我们提出了一种信息流排序的方法,该方法意识到信息流之间的相互依赖性(冗余和协同作用)、单个信息流的成本以及与多个信息流集成相关的成本。该方法基于权力指数的联合博弈论概念的使用,并依赖于流集特征的多项式时间估计。相对于使用幂指数的其他工程,该方法考虑到问题具有非平凡的成本结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selection of Information Streams in Social Sensing: an Interdependence- and Cost-aware Ranking Method
In this work we address the problem of critical source selection in social sensing. We propose an approach to the ranking of information streams, which is aware of the interdependence among streams (redundancy and synergies), of the cost of individual streams, and of the cost related to the integration of multiple streams. The method is based on the use of the Coalitional Game Theory concept of Power Index, and relies on the polynomial-time estimate of the stream sets characteristics. With respect to other works using a power index, the method takes into account that the problem has a non-trivial cost structure.
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