应物理科学与技术学院邀请邀请，西班牙马德里自动化大学Borondo教授来拉斯维加斯0567官方网站访问，并于2016年6月8日作学术报告，敬请参加。

报告题目：To Each According to its Degree: The Meritocracy and Topocracy of Embedded Markets

报告人：Borondo教授 西班牙马德里自动化大学

报告时间：2016年6月8日（星期三）下午3:30

报告地点：格致楼5004会议室

简介：Borondo教授主要研究复杂量子体系，颇有建树，是国际知名的量子混沌研究专家。近年来也开始考虑经典复杂系统的一些问题。此次报告主要介绍其近期在经典复杂系统中的一个工作。

报告摘要：A system is said to be meritocratic if the compensation and power available to individuals is determined by their abilities and merits. A system is topocratic if the compensation and power available to an individual is determined primarily by her position in a network. Here we introduce a model that is perfectly meritocratic for fully connected networks but that becomes topocratic for sparse networks-like the ones in society. In the model, individuals produce and sell content, but also distribute the content produced by others when they belong to the shortest path connecting a buyer and a seller. The production and distribution of content defines two channels of compensation: a meritocratic channel, where individuals are compensated for the content they produce, and a topocratic channel, where individual compensation is based on the number of shortest paths that go through them in the network. We solve the model analytically and show that the distribution of payoffs is meritocratic only if the average degree of the nodes is larger than a root of the total number of nodes. We conclude that, in the light of this model, the sparsity and structure of networks represents a fundamental constraint to the meritocracy of societies.