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Value of intelligence applied to networks

机译:智能应用于网络的价值

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A methodology is proposed to complement the subjective "value" of intelligence with an objective metric of "impact" of information on network models. This is a deterministic one-way sensitivity analysis similar to value of information used in inference diagrams. It would measure the impact of a piece of information on a network's metric, in this case being used to answer intelligence analyst questions. This methodology suggests that the sensitivity of each link to existing analysis implies that the link has an impact on the analysis. The impact of these links can be measured quantitatively. In this paper, we explore data of tweets and apply the methodology to the links between twitter users and use the network measure of betweenness centrality to determine their quantitative impact on the overall network.
机译:提出了一种方法,以对信息“影响”网络模型的客观度量来补充智能的主观“价值”。这是确定性的单向敏感性分析,类似于推理图中使用的信息值。它将测量一条信息对网络指标的影响,在这种情况下,该信息被用来回答情报分析师的问题。这种方法表明,每个链接对现有分析的敏感性意味着该链接对分析有影响。这些链接的影响可以量化。在本文中,我们探索了tweet的数据,并将该方法应用于twitter用户之间的链接,并使用中间性中心度的网络度量来确定其对整个网络的定量影响。

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