Distinctiveness centrality in social networks

被引:31
|
作者
Colladon, Andrea Fronzetti [1 ]
Naldi, Maurizio [2 ,3 ]
机构
[1] Univ Perugia, Dept Engn, Perugia, Italy
[2] LUMSA Univ, Dept Law Econ Polit & Modern Languages, Rome, Italy
[3] Univ Roma Tor Vergata, Dept Civil Engn & Comp Sci, Rome, Italy
来源
PLOS ONE | 2020年 / 15卷 / 05期
关键词
D O I
10.1371/journal.pone.0233276
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The determination of node centrality is a fundamental topic in social network studies. As an addition to established metrics, which identify central nodes based on their brokerage power, the number and weight of their connections, and the ability to quickly reach all other nodes, we introduce five new measures of Distinctiveness Centrality. These new metrics attribute a higher score to nodes keeping a connection with the network periphery. They penalize links to highly-connected nodes and serve the identification of social actors with more distinctive network ties. We discuss some possible applications and properties of these newly introduced metrics, such as their upper and lower bounds. Distinctiveness centrality provides a viewpoint of centrality alternative to that of established metrics.
引用
收藏
页数:21
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