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Emergence of Collective Memories

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  • Sungmin Lee
  • Verónica C Ramenzoni
  • Petter Holme

Abstract

Background: We understand the dynamics of the world around us as by associating pairs of events, where one event has some influence on the other. These pairs of events can be aggregated into a web of memories representing our understanding of an episode of history. The events and the associations between them need not be directly experienced—they can also be acquired by communication. In this paper we take a network approach to study the dynamics of memories of history. Methodology/Principal Findings: First we investigate the network structure of a data set consisting of reported events by several individuals and how associations connect them. We focus our measurement on degree distributions, degree correlations, cycles (which represent inconsistencies as they would break the time ordering) and community structure. We proceed to model effects of communication using an agent-based model. We investigate the conditions for the memory webs of different individuals to converge to collective memories, how groups where the individuals have similar memories (but different from other groups) can form. Conclusions/Significance: Our work outlines how the cognitive representation of memories and social structure can co-evolve as a contagious process. We generate some testable hypotheses including that the number of groups is limited as a function of the total population size.

Suggested Citation

  • Sungmin Lee & Verónica C Ramenzoni & Petter Holme, 2010. "Emergence of Collective Memories," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-7, September.
    • Handle: RePEc:plo:pone00:0012522
    DOI: 10.1371/journal.pone.0012522
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    References listed on IDEAS

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    1. Philippe Curty & Matteo Marsili, 2005. "Phase coexistence in a forecasting game," Papers physics/0506151, arXiv.org, revised Feb 2006.
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    Cited by:

    1. Silvio M. Duarte Queiros & Evaldo M. F. Curado & Fernando D. Nobre, 2011. "Minding impacting events in a model of stochastic variance," Papers 1102.4819, arXiv.org, revised Feb 2011.
    2. Sílvio M Duarte Queirós & Evaldo M F Curado & Fernando D Nobre, 2011. "Minding Impacting Events in a Model of Stochastic Variance," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-9, March.

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