Beyond networks: opinion formation in triplet-based populations

被引：6
|
作者：
Zanette, Damian H. [1 ,2 ]
机构：
[1] Consejo Nacl Invest Cient & Tecn, Ctr Atom Bariloche, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina
[2] Consejo Nacl Invest Cient & Tecn, Inst Balseiro, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina
来源：
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2009年 / 367卷 / 1901期
关键词：
networks; agent-based models; multiplet structures; opinion dynamics;
D O I：
10.1098/rsta.2009.0066
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：
We study a process of opinion formation in a population of agents whose interaction pattern is defined on the basis of randomly distributed groups of three agents (triplets), in contrast to networks, which are defined on the basis of agent pairs. Results for the time needed to reach full consensus are compared between a triplet-based structure with a given number of triplets and a random network with the same number of triangles. The full-consensus time in the triplet structure is systematically lower than in the network. This discrepancy can be ascribed to differences in the shape of the probability distribution for the number of triplets and triangles per agent in each interaction pattern.
引用
收藏
页码：3311 / 3319
页数：9
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