The microstructures of network recall: How social networks are encoded and represented in human memory

被引:67
作者
Brashears, Matthew E. [1 ]
Quintane, Eric [2 ]
机构
[1] Cornell Univ, Dept Sociol, Ithaca, NY 14853 USA
[2] Univ Los Andes, Sch Management, Bogota, Colombia
基金
美国国家科学基金会;
关键词
Memory; Cognition; Experiment; Social brain hypothesis; ERGM; INDIVIDUAL-DIFFERENCES; WORKING-MEMORY; NEOCORTEX SIZE; NEURAL BASIS; STRUCTURALISM; ORGANIZATION; PERSONALITY; DYNAMICS; GENDER; SCHEMA;
D O I
10.1016/j.socnet.2014.11.003
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
A growing number of studies indicate that aspects of psychology and cognition influence network structure, but much remains to be learned about how network information is stored and retrieved from memory. Are networks recalled as dyads, as triads, or more generally as sub-groups? We employ an experimental design coupled with exponential random graph models to address this issue. We find that respondents flexibly encode social information as triads or groups, depending on the network, but not as dyads. This supports prior research showing that networks are stored using "compression heuristics", but also provides evidence of cognitive flexibility in the process of encoding relational information. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
引用
收藏
页码:113 / 126
页数:14
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