论文标题
量化集体记忆
Quantifying Collective Memories
论文作者
论文摘要
集体记忆是一群调节其身份的人共享的过去的常见代表。关于计算社会科学的最新文献使用这些记忆的表达方式量化了集体记忆,这些记忆的量是集体关注的量,这些集体关注着重于特定的文化偶像,无论是文物还是人物。我们使用两步衰减过程对集体记忆的时间动力学进行建模,其特征是短暂而强烈的初始阶段,然后是长期寿命和更温和的集体关注下降。不同的集体记忆机制维持了两步过程。第一个是交流记忆,它与社交行为支持的所有记忆相对应。第二个是文化记忆,与访问记录所维持的所有记忆相对应。因此,该模型可以预测文化记忆克服交流记忆的过渡时间。它具有与缩小或延长特定主题的时间有关的实际后果,这是社区对话的一部分,即交流记忆,赋予政策制定者的能力,并有宝贵的时间来生成解决方案,并构成方案和公共问题的妥协。
Collective memory is a common representation of the past shared by a group of people that modulates its identity. Recent literature on computational social science quantifies collective memories using expressions of those memories operationalized as the amount of collective attention focused on specific cultural icons, either artifacts or people. We model the temporal dynamics of collective memory using a two-step decay process, characterized by a short-lived and intense initial stage followed by a long-lived and milder decline of collective attention. Different collective memory mechanisms sustain the two-step process. The first is communicative memory, which corresponds to all memories supported by socializing acts. The second is cultural memory, which corresponds to all memories sustained by accessing records. Thus, this model predicts a transition time when cultural memory overcomes communicative memory. It has practical consequences related to shrinking or extending the time a specific topic is part of a community's conversation, i.e., communicative memory, empowering policymakers with valuable time to generate solutions and compromises for contingent and public problems.