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Mnemonic Convergence: From Empirical Data to Large-Scale Dynamics

Coman, Alin and Kolling, Andreas and Lewis, Michael and Hirst, William (2012) Mnemonic Convergence: From Empirical Data to Large-Scale Dynamics. In: Social Computing, Behavioral - Cultural Modeling and Prediction. Lecture Notes in Computer Science, 7227 . Springer, 256 - 265. ISBN 978-3-642-29046-6

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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 forget- ting 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.


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Details

Item Type: Book Section
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Coman, Alin
Kolling, Andreas
Lewis, Michael
Hirst, William
Date: 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Series Name: Lecture Notes in Computer Science
Volume: 7227
Publisher: Springer
Page Range: 256 - 265
DOI or Unique Handle: 10.1007/978-3-642-29047-3_31
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 978-3-642-29046-6
Title of Book: Social Computing, Behavioral - Cultural Modeling and Prediction
Official URL: http://dx.doi.org/10.1007/978-3-642-29047-3_31
Related URLs:
Date Deposited: 15 Jun 2012 17:54
Last Modified: 01 Nov 2017 12:55
URI: http://d-scholarship.pitt.edu/id/eprint/12387

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