Literature DB >> 18729708

Propagation of innovations in networked groups.

Winter A Mason1, Andy Jones, Robert L Goldstone.   

Abstract

A novel paradigm was developed to study the behavior of groups of networked people searching a problem space. The authors examined how different network structures affect the propagation of information in laboratory-created groups. Participants made numerical guesses and received scores that were also made available to their neighbors in the network. The networks were compared on speed of discovery and convergence on the optimal solution. One experiment showed that individuals within a group tend to converge on similar solutions even when there is an equally valid alternative solution. Two additional studies demonstrated that the optimal network structure depends on the problem space being explored, with networks that incorporate spatially based cliques having an advantage for problems that benefit from broad exploration, and networks with greater long-range connectivity having an advantage for problems requiring less exploration. (PsycINFO Database Record (c) 2008 APA, all rights reserved).

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Mesh:

Year:  2008        PMID: 18729708     DOI: 10.1037/a0012798

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  19 in total

1.  Collaborative learning in networks.

Authors:  Winter Mason; Duncan J Watts
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-19       Impact factor: 11.205

2.  News Feature: How online studies are transforming psychology research.

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-24       Impact factor: 11.205

3.  Scientific Networks on Data Landscapes: Question Difficulty, Epistemic Success, and Convergence.

Authors:  Patrick Grim; Daniel J Singer; Steven Fisher; Aaron Bramson; William J Berger; Christopher Reade; Carissa Flocken; Adam Sales
Journal:  Episteme (Edinb)       Date:  2013-12-01

4.  The effect of individual variation on the structure and function of interaction networks in harvester ants.

Authors:  Noa Pinter-Wollman; Roy Wollman; Adam Guetz; Susan Holmes; Deborah M Gordon
Journal:  J R Soc Interface       Date:  2011-04-13       Impact factor: 4.118

Review 5.  Innovation in the collective brain.

Authors:  Michael Muthukrishna; Joseph Henrich
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-03-19       Impact factor: 6.237

6.  Partial connectivity increases cultural accumulation within groups.

Authors:  Maxime Derex; Robert Boyd
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-29       Impact factor: 11.205

7.  Divide and conquer: intermediate levels of population fragmentation maximize cultural accumulation.

Authors:  Maxime Derex; Charles Perreault; Robert Boyd
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-04-05       Impact factor: 6.237

Review 8.  Exploration versus exploitation in space, mind, and society.

Authors:  Thomas T Hills; Peter M Todd; David Lazer; A David Redish; Iain D Couzin
Journal:  Trends Cogn Sci       Date:  2014-12-03       Impact factor: 20.229

9.  Keywords in the mental lexicon.

Authors:  Michael S Vitevitch; Rutherford Goldstein
Journal:  J Mem Lang       Date:  2014-05-01       Impact factor: 3.059

10.  Human biases limit cumulative innovation.

Authors:  Bill Thompson; Thomas L Griffiths
Journal:  Proc Biol Sci       Date:  2021-03-10       Impact factor: 5.349

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