Mnemonic convergence: From empirical data to large-scale dynamics

Alin Coman, Andreas Kolling, Michael Lewis, William Hirst

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

This study builds on the assumption that large-scale social phenomena emerge out of the interaction between individual cognitive mechanisms and social dynamics. Within this framework, we empirically investigated the propagation of memory effects (retrieval induced forgetting and practice effects) through sequences of social interactions. We found that the influence a public figure has on an individual's memories propagates in conversations between attitudinally similar, but not attitudinally dissimilar interactants, further affecting their subsequent memories [3]. The implementation of this transitivity principle in agent based simulations revealed the impact of community size, number of conversations and network structure on the dynamics of collective memory.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling and Prediction, 5th International Conference, SBP 2012, Proceedings
Pages256-265
Number of pages10
DOIs
StatePublished - Apr 3 2012
Externally publishedYes
Event5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2012 - College Park, MD, United States
Duration: Apr 3 2012Apr 5 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7227 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2012
CountryUnited States
CityCollege Park, MD
Period4/3/124/5/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Coman, A., Kolling, A., Lewis, M., & Hirst, W. (2012). Mnemonic convergence: From empirical data to large-scale dynamics. In Social Computing, Behavioral-Cultural Modeling and Prediction, 5th International Conference, SBP 2012, Proceedings (pp. 256-265). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7227 LNCS). https://doi.org/10.1007/978-3-642-29047-3_31