论文标题
获胜者并没有全部占据：对抗网络中的中心地位
Winner does not take all: contrasting centrality in adversarial networks
论文作者
论文摘要
在对抗网络中，边缘对应于诸如竞争或优势之类的负相互作用。我们引入了一种新型的节点，称为对抗网络中的低调领导者，通过与CON分数和Pagerank的中心度度量进行鲜明对比。我们提出了一个新的假设，即低调的领导者在对抗网络中无处不在，并通过考虑来自现实世界网络的数据，包括172个动物种群中的优势网络，在G20国家之间的交易网络和比特币信任网络之间提供证据。我们引入了一个随机图模型，该模型生成具有低调领导者的有向图。
In adversarial networks, edges correspond to negative interactions such as competition or dominance. We introduce a new type of node called a low-key leader in adversarial networks, distinguished by contrasting the centrality measures of CON score and PageRank. We present a novel hypothesis that low-key leaders are ubiquitous in adversarial networks and provide evidence by considering data from real-world networks, including dominance networks in 172 animal populations, trading networks between G20 nations, and Bitcoin trust networks. We introduce a random graph model that generates directed graphs with low-key leaders.
