Eliminating Majority Illusion is Easy

Jack Dippel, Max Dupré la Tour, April Niu, Sanjukta Roy, Adrian Vetta
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Abstract

Majority Illusion is a phenomenon in social networks wherein the decision by the majority of the network is not the same as one's personal social circle's majority, leading to an incorrect perception of the majority in a large network. In this paper, we present polynomial-time algorithms which can eliminate majority illusion in a network by altering as few connections as possible. Additionally, we prove that the more general problem of ensuring all neighbourhoods in the network are at least a $p$-fraction of the majority is NP-hard for most values of $p$.
消除多数幻觉很容易
多数幻觉是社交网络中的一种现象,即网络中多数人的决定与个人社交圈中多数人的决定不一致,从而导致对大型网络中多数人的错误认知。在本文中,我们提出了多项式时间算法,可以通过尽可能少地改变连接来消除网络中的多数人错觉。此外,我们还证明了一个更普遍的问题,即确保网络中的所有相邻关系至少是多数人的 $p$ 分数,对于大多数 $p$ 值来说都是 NP-困难的。
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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