Ghouse Ameer, Kaplan Raphael
Department of Basic Psychology, Clinical Psychology & Psychobiology, Universitat Jaume I, Castelló, Spain.
Open Mind (Camb). 2025 Sep 9;9:1506-1527. doi: 10.1162/OPMI.a.31. eCollection 2025.
Navigating the social world is guided by remembering which people know each other. Yet, different factors might influence how social relationships are remembered, where people's shared attributes could distort a social network's mnemonic representation. Here, we study whether dyadically shared contexts and personality traits impact how people remember relationships in social networks. Through varying levels of network topological complexity, we find the contexts where people know each other are most memorable and that better contextual retrieval predicts relationship recall. In contrast, shared personality traits affect relationship recall differently depending on social network complexity, where shared negatively valenced traits relate to worse relationship recall in the simple network. Subsequent modeling revealed that as networks become more complex, relationships between more centrally positioned individuals that share negatively valenced traits are better recalled compared to less well-connected individuals. These results suggest contextual memory can serve as a scaffold for remembering relationships in a social network, while affective traits' impact on social network retrievability depends on emotional valence and the individuals involved. More generally, our findings give insight into how the same social network can be represented differently based on one's past experience.
在社交世界中导航是由记住哪些人彼此认识来引导的。然而，不同的因素可能会影响社交关系的记忆方式，人们的共同属性可能会扭曲社交网络的记忆表征。在这里，我们研究二元共享的情境和人格特质是否会影响人们对社交网络中关系的记忆。通过改变网络拓扑复杂性的水平，我们发现人们彼此认识的情境最容易被记住，并且更好的情境检索可以预测关系回忆。相比之下，共享的人格特质对关系回忆的影响因社交网络的复杂性而异，在简单网络中，共享的负性特质与较差的关系回忆相关。随后的模型显示，随着网络变得更加复杂，与连接较少的个体相比，共享负性特质的处于更中心位置的个体之间的关系更容易被回忆起来。这些结果表明，情境记忆可以作为在社交网络中记住关系的支架，而情感特质对社交网络可检索性的影响取决于情感效价和所涉及的个体。更一般地说，我们的研究结果深入了解了同一个社交网络如何根据个人过去的经历以不同的方式呈现。
