Quantifying the temporal dynamics of collective memory and attention in social systems

Cristian Candia
December 2025
Cite Source Document DOI
Figure from the chapter

Abstract

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
Book section
Publication
In Handbook of Computational Social Science
Collective Memory Collective Attention Computational Social Science Complex Systems
Cristian Candia
Cristian Candia
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.

My research interests include applied AI, computational social science, network science, collective intelligence, school coexistence, decision intelligence, and business analytics.