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

Figura del capítulo

Resumen

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.

Publicación
In Handbook of Computational Social Science
Cristian Candia
Cristian Candia
Profesor Asociado, Instituto de Data Science, Facultad de Ingeniería, Universidad del Desarrollo, Chile. Director de CRiSS-LAB.

Cristian Candia es científico social computacional y estudia el comportamiento humano y colectivo usando datos a gran escala, ciencia de redes, experimentos e inteligencia artificial.