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. Head of CRiSS-LAB.
Cristian Candia studies how societies transform information into collective relevance through attention, memory, preferences, and coordination. His work combines computational social science, network science, AI, and large-scale behavioral data to understand how groups, institutions, and societies decide what matters.