Quantifying the temporal dynamics of collective memory and attention in social systems
Figure from the chapterAbstract
Collective memory can be quantified through the collective attention received by cultural icons, artifacts, people, scientific ideas, and technological outputs. This chapter summarizes a two-step decay model in which communicative memory and cultural memory sustain different temporal regimes of social attention.
Type
Publication
In Handbook of Computational Social Science
Cristian Candia
Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Director of CRiSS-LAB.
Cristian Candia is a computational social scientist studying human and collective behavior with large-scale data, network science, experiments, and AI.