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Mnemonic Convergence: From Empirical Data to Large-Scale Dynamics

  • Alin Coman
  • Andreas Kolling
  • Michael Lewis
  • William Hirst
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7227)

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.

Keywords

Mean Square Error Recall Test Collective Memory Memory Item Recall Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Alin Coman
    • 1
  • Andreas Kolling
    • 1
  • Michael Lewis
    • 1
  • William Hirst
    • 2
  1. 1.School of Information SciencesUniversity of PittsburghPittsburghUSA
  2. 2.The New School for Social ResearchNew YorkUSA

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