竞争网络的成功策略
Successful strategies for competing networks
摘要：
竞争相互作用是生物学和社会学系统中进化和自然选择背后的驱动力之一。例如，生态系统中的动物可能会争夺食物或配偶;在市场经济中，公司可能会争夺同一群客户;感官刺激可能会争夺有限的神经资源，以便进入注意力的焦点。在这里，我们推导出规则的基础上的频谱特性的网络管理的竞争性相互作用组的代理人组织在网络中。在这里研究的场景中，竞争的获胜者以及获胜所需的时间基本上取决于给定网络连接到其竞争对手的方式及其内部结构。我们的研究结果可以评估真实网络优化其交互结果的程度，但也提供了竞争网络可以改善其状况的策略。所提出的方法适用于广泛的系统，可以建模为网络。
英文摘要：
Competitive interactions represent one of the driving forces behind evolution and natural selection in biological and sociological systems. For example, animals in an ecosystem may vie for food or mates; in a market economy, firms may compete over the same group of customers; sensory stimuli may compete for limited neural resources in order to enter the focus of attention. Here, we derive rules based on the spectral properties of the network governing the competitive interactions between groups of agents organized in networks. In the scenario studied here the winner of the competition, and the time needed to prevail, essentially depend on the way a given network connects to its competitors and on its internal structure. Our results allow assessing the extent to which real networks optimize the outcome of their interaction, but also provide strategies through which competing networks can improve on their situation. The proposed approach is applicable to a wide range of systems that can be modeled as networks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
