集体记忆的出现
Emergence of collective memories
摘要：
我们通过关联成对的事件来理解我们周围世界的动态，其中一个事件对另一个事件有一定的影响。这些成对的事件可以聚集成一个记忆网络，代表我们对历史一段的理解。这些事件和它们之间的联系不需要直接体验，它们也可以通过交流获得。在本文中，我们采取网络的方法来研究历史记忆的动态。首先，我们研究了由几个人报告的事件组成的数据集的网络结构，以及协会如何将它们连接起来。我们的测量集中在度分布，度相关性，周期（代表不一致，因为它们会打破时间顺序）和社区结构。我们继续使用基于代理的模型模型的通信效果。我们研究了不同个体的记忆网络汇聚成集体记忆的条件，以及个体具有相似记忆（但与其他群体不同）的群体如何形成。我们的工作概述了记忆和社会结构的认知表征如何作为一个传染过程共同进化。我们产生了一些可检验的假设，包括组的数量是有限的，作为总人口规模的函数。
英文摘要：
We understand the dynamics of the world around us as by associating pairs of events, where one event has some influence on the other. These pairs of events can be aggregated into a web of memories representing our understanding of an episode of history. The events and the associations between them need not be directly experienced-they can also be acquired by communication. In this paper we take a network approach to study the dynamics of memories of history. First we investigate the network structure of a data set consisting of reported events by several individuals and how associations connect them. We focus our measurement on degree distributions, degree correlations, cycles (which represent inconsistencies as they would break the time ordering) and community structure. We proceed to model effects of communication using an agent-based model. We investigate the conditions for the memory webs of different individuals to converge to collective memories, how groups where the individuals have similar memories (but different from other groups) can form. Our work outlines how the cognitive representation of memories and social structure can co-evolve as a contagious process. We generate some testable hypotheses including that the number of groups is limited as a function of the total population size.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
