Collective Memory

Recent book chapters extend the lab’s work on collective memory, attention, and computational social science.

ANID-FONDECYT Regular 2026 project on why retracted research continues to be cited and influence scientific knowledge.

The project Collective Memory Decay in Science will study why retracted research continues to be cited and influence scientific knowledge.

A research note on collective memory decay in science and why formal correction does not always erase invalidated knowledge from citation networks.

Collective memory can be quantified through the collective attention received by cultural icons, artifacts, people, scientific ideas, …

This chapter introduces computational social science as a data-driven framework for studying how collective memory forms, persists, and …

The UDD Data Science Institute profiled CRiSS-LAB as a laboratory studying collective intelligence, collective memory, online engagement, education, and applied tools such as Capybara and Lixandria.

Funded by ANID-FONDECYT Iniciación 11200986. 2021-2023.

How CRiSS-LAB connects collective memory, online engagement, classroom cooperation, educational trajectories, and civic platforms through computational social science.

TXS+ interviewed Cristian Candia about social physics, computational social science, collective memory, identity, and the Lixandria platform.

La Convergencia de las Ciencias Físicas y Sociales: Una Entrevista con el Dr. Cristian Candia En una entrevista reciente, Carla Hermann, Ph.D., la anfitriona del programa Let’s Get Physical, se sentó con el Dr.

This preprint models collective memory as a two-step decay process in which short-lived communicative memory and long-lived cultural …

How long will this article be remembered? How long will people reference it in their conversations, and for how many years will other …

Collective memory and attention are sustained by two channels oral communication (communicative memory) and the physical recording of …

-- Cultural products have a life of their own: academic papers get cited and songs get downloaded. While scholars have studied these patterns, we know little about how to model the decay of attention.

BioBioChile covered work by Cristian Candia-Castro, César Hidalgo, and Cristián Jara using data and natural language processing to study global fame, public attention, and the number of famous deaths expected in 2017.