Group Conformity in Social Networks

Morrison, Colby; Naumov, Pavel

doi:10.1007/s10849-019-09303-5

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…Popularity signals have previously been reported to socially influence cultural, economic, and academic networks ( 16–18 ). People can conform to social influence when they assume others to be better informed than they are or believe that the majority’s pick is correct ( 2 , 16 , 19 , 20 ). Here, the alters’ popularity signals (follower counts) are used as the vehicles of social influence on the egos.…”

Section: Introductionmentioning

confidence: 99%

Novel idea generation in social networks is optimized by exposure to a “Goldilocks” level of idea-variability

et al. 2022

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Recent works suggest that striking a balance between maximizing idea stimulation and minimizing idea redundancy can elevate novel idea generation performances in self-organizing social networks. We explore whether dispersing the visibility of high-performing idea generators can help achieve such a trade-off. We employ popularity signals (follower counts) of participants as an external source of variation in network structures, which we control across four conditions in a randomized setting. We observe that popularity signals influence inspiration-seeking ties, partly by biasing people’s perception of their peers’ novel idea-generation performances. Networks that partially disperse the top ideators’ visibility using this external signal show reduced idea redundancy and elevated idea-generation performances. However, extreme dispersal leads to an inferior performance by narrowing the range of idea stimulation. Our work holds future-of-work implications for elevating idea generation performances of people.

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