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人格特质与自我网络动态

Personality traits and ego-network dynamics.

作者信息

Centellegher Simone, López Eduardo, Saramäki Jari, Lepri Bruno

机构信息

Department of Information Engineering and Computer Science, University of Trento, Trento, Italy.

Mobile and Social Computing Lab, Fondazione Bruno Kessler (FBK), Trento, Italy.

出版信息

PLoS One. 2017 Mar 2;12(3):e0173110. doi: 10.1371/journal.pone.0173110. eCollection 2017.

DOI:10.1371/journal.pone.0173110
PMID:28253333
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5333865/
Abstract

Strong and supportive social relationships are fundamental to our well-being. However, there are costs to their maintenance, resulting in a trade-off between quality and quantity, a typical strategy being to put a lot of effort on a few high-intensity relationships while maintaining larger numbers of less close relationships. It has also been shown that there are persistent individual differences in this pattern; some individuals allocate their efforts more uniformly across their networks, while others strongly focus on their closest relationships. Furthermore, some individuals maintain more stable networks than others. Here, we focus on how personality traits of individuals affect this picture, using mobile phone calls records and survey data from the Mobile Territorial Lab (MTL) study. In particular, we look at the relationship between personality traits and the (i) persistence of social signatures, namely the similarity of the social signature shape of an individual measured in different time intervals; (ii) the turnover in egocentric networks, that is, differences in the set of alters present at two consecutive temporal intervals; and (iii) the rank dynamics defined as the variation of alter rankings in egocentric networks in consecutive intervals. We observe that some traits have effects on the stability of the social signatures as well as network turnover and rank dynamics. As an example, individuals who score highly in the Openness to Experience trait tend to have higher levels of network turnover and larger alter rank variations. On broader terms, our study shows that personality traits clearly affect the ways in which individuals maintain their personal networks.

摘要

稳固且相互支持的社会关系是我们幸福安康的基础。然而,维持这些关系是有成本的,这导致了在质量和数量之间的权衡,一种典型的策略是在少数高强度关系上投入大量精力,同时维持大量不太亲密的关系。研究还表明,在这种模式上存在持续的个体差异;一些人在其社交网络中更均匀地分配精力,而另一些人则强烈专注于他们最亲密的关系。此外,一些人的社交网络比其他人更稳定。在此,我们利用来自移动区域实验室(MTL)研究的手机通话记录和调查数据,重点关注个体的人格特质如何影响这种情况。具体而言,我们考察人格特质与以下方面的关系:(i)社会特征的持续性,即在不同时间间隔测量的个体社会特征形状的相似性;(ii)自我中心网络的更替,即两个连续时间间隔中存在的 alters 集合的差异;以及(iii)定义为连续间隔中自我中心网络中 alters 排名变化的排名动态。我们观察到,一些特质会对社会特征的稳定性以及网络更替和排名动态产生影响。例如,在经验开放性特质上得分高的个体往往有更高的网络更替水平和更大的 alter 排名变化。从更广泛的角度来看,我们的研究表明人格特质明显影响个体维持其个人社交网络的方式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386f/5333865/06f476efd824/pone.0173110.g008.jpg
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