.png){kind=icon}
返回
The within groups and the between groups Myerson values
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ejor.2016.08.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper we revisit the additive decomposition that Gomez et al. (2003) introduced for the Myerson value of a symmetric game when viewed as a centrality measure. First, we generalize this decomposition, extending it to general games. This approach permits us to look at the Myerson value of a player as a certain modulus of a two component vector. One of them, the within groups Myerson value, determines which part corresponds to the profit from the coalitions that a given player is in, whereas the other, the between groups Myerson value, evaluates the opportunities that player has as intermediary in the communication among others. These two values are then characterized using additivity and other properties related with previous interpretation: (A) The competitive advantages (or disadvantages) of a null player in a game with restrictions given by a graph (measured in terms of his Myerson value) are due to his ability to intermediate among the others. (B) In the same context, those players essential to coalitions that generate worth cannot obtain profit by intermediating. When restricted to certain symmetric games, the corresponding values can be considered as centrality measures, as they satisfy natural properties that reinforce this interpretation. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Myerson value
Communication centrality
Betweenness centrality
Social networks
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
2.2W
被引数:
6.4W
机构
引用论文
Assessing the Maturity of Corporate Social Responsibility Practices: An Applied Study on Telecom Companies in KSA.png)
TEM Journal
OAAI
TEM JournalIF0
OAAI分享收藏An Efficient Algorithm for Nonlinear Model Predictive Control of Large-Scale Systems Part I: Description of the Method (Ein effizienter Algorithmus für die nichtlineare prädiktive Regelung großer Systeme Teil I: Methodenbeschreibung)大型系统非线性模型预测控制的有效算法第一部分: 方法的描述 (Ein effizienter algorithms f ü r die nichtlineare pr ä diktive Regelung gro ß er Systeme Teil I: Methodenbeschreibung)auto
autoIF0
PREAI
分享收藏
查看更多内容