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[Bar16d] Effects of competition on collective learning in advice networks
Revue Internationale avec comité de lecture : Journal Social Networks, vol. 47, pp. 1-14, 2016
motcle:
Résumé:
This paper looks at the effect of identifying alters as direct competitors on their
selection as advisors. We differentiate between two kinds of competition: cut-throat vs
friendly. We argue that, unlike cut-throat competition, friendly competition makes collective
learning possible as a social process: when knowledge is built in interactions that are able
to mitigate the negative effects of status competition and take place in homophilous social
niches; and when the quality of this knowledge is guaranteed by members with epistemic
status in these niches. Social niches and status facilitate advice seeking and collective
learning because advice seeking between direct competitors is not obvious even when
members have a common interest in sharing advice–a learning-related dilemma of
collective action. We apply this reasoning to a network dataset combining identification of direct competitors and selection of advisors among the elite of cancer researchers in France. We use a procedure of multiplex stochastic block-modeling designed by Barbillon et al. (2015) to measure the effect of these identifications of direct competitors on the structure of the advice network. Results obtained with this dataset support our theory.
Commentaires:
Emmanuel Lazega, Avner Bar-Hen, Pierre Barbillon, Sophie Donnet
BibTeX
| @article { | |||
| Bar16d, | |||
| title | = | "{Effects of competition on collective learning in advice networks }", | |
| author | = | "A. Bar-Hen", | |
| journal | = | "Social Networks", | |
| year | = | 2016, | |
| volume | = | 47, | |
| pages | = | "1-14", | |
| note | = | "{Emmanuel Lazega, Avner Bar-Hen, Pierre Barbillon, Sophie Donnet}", | |
| } | |||
