Literature DB >> 31611417

Efficient team structures in an open-ended cooperative creativity experiment.

Bernardo Monechi1, Giulia Pullano2,3, Vittorio Loreto4,5,6.   

Abstract

Creativity is progressively acknowledged as the main driver for progress in all sectors of humankind's activities: arts, science, technology, business, and social policies. Nowadays, many creative processes rely on many actors collectively contributing to an outcome. The same is true when groups of people collaborate in the solution of a complex problem. Despite the critical importance of collective actions in human endeavors, few works have tackled this topic extensively and quantitatively. Here we report about an experimental setting to single out some of the key determinants of efficient teams committed to an open-ended creative task. In this experiment, dynamically forming teams were challenged to create several artworks using LEGO bricks. The growth rate of the artworks, the dynamical network of social interactions, and the interaction patterns between the participants and the artworks were monitored in parallel. The experiment revealed that larger working teams are building at faster rates and that higher commitment leads to higher growth rates. Even more importantly, there exists an optimal number of weak ties in the social network of creators that maximizes the growth rate. Finally, the presence of influencers within the working team dramatically enhances the building efficiency. The generality of the approach makes it suitable for application in very different settings, both physical and online, whenever a creative collective outcome is required.

Entities:  

Keywords:  collective creativity; exploit/explore; open-ended experiments; weak ties

Year:  2019        PMID: 31611417      PMCID: PMC6825265          DOI: 10.1073/pnas.1909827116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  15 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

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4.  Activity driven modeling of time varying networks.

Authors:  N Perra; B Gonçalves; R Pastor-Satorras; A Vespignani
Journal:  Sci Rep       Date:  2012-06-25       Impact factor: 4.379

5.  Epidemic spreading in modular time-varying networks.

Authors:  Matthieu Nadini; Kaiyuan Sun; Enrico Ubaldi; Michele Starnini; Alessandro Rizzo; Nicola Perra
Journal:  Sci Rep       Date:  2018-02-05       Impact factor: 4.379

6.  Waves of novelties in the expansion into the adjacent possible.

Authors:  Bernardo Monechi; Ãlvaro Ruiz-Serrano; Francesca Tria; Vittorio Loreto
Journal:  PLoS One       Date:  2017-06-08       Impact factor: 3.240

7.  The Beneficial Role of Mobility for the Emergence of Innovation.

Authors:  Giuliano Armano; Marco Alberto Javarone
Journal:  Sci Rep       Date:  2017-05-11       Impact factor: 4.379

8.  Estimating potential infection transmission routes in hospital wards using wearable proximity sensors.

Authors:  Philippe Vanhems; Alain Barrat; Ciro Cattuto; Jean-François Pinton; Nagham Khanafer; Corinne Régis; Byeul-a Kim; Brigitte Comte; Nicolas Voirin
Journal:  PLoS One       Date:  2013-09-11       Impact factor: 3.240

9.  Time varying networks and the weakness of strong ties.

Authors:  Márton Karsai; Nicola Perra; Alessandro Vespignani
Journal:  Sci Rep       Date:  2014-02-10       Impact factor: 4.379

10.  The weakness of weak ties for novel information diffusion.

Authors:  Jennifer M Larson
Journal:  Appl Netw Sci       Date:  2017-06-19
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  2 in total

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