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Creativity in social networks is enhanced by 'Goldilocks' dispersal of ideators' visibility

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Raiyan Abdul Baten, Richard N. Aslin, Gourab Ghoshal, Ehsan Hoque

Social and Information Networks · Submitted 6 Dec 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Networks that partially disperse the ideators' visibility using this external signal show reduced idea-redundancy and elevated creativity.

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arXiv ID2112.03140 (version 1)
Pith IDBLPO43AN, Pith's permanent record of this paper and its review
CitationEhsan Hoque, Gourab Ghoshal, Raiyan Abdul Baten, Richard N. Aslin. "Creativity in social networks is enhanced by 'Goldilocks' dispersal of ideators' visibility." arXiv:2112.03140 (2021). https://pith.science/paper/BLPO43AN
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,428 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.75 · human participants 0.81 · controlled comparison 0.75 · randomized assignment 0.94 · states quantitative result 0.05 · compares with prior results 0.61 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Recent works suggest that striking a balance between maximizing idea stimulation and minimizing idea redundancy can elevate creativity in self-organizing social networks. We explore whether dispersing the visibility of 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 randomized study conditions. We observe that popularity signals influence inspiration-seeking ties, partly by biasing people's perception of their peers' creativity. Networks that partially disperse the ideators' visibility using this external signal show reduced idea-redundancy and elevated creativity. However, extreme dispersal leads to inferior creativity by narrowing the range of idea stimulation. Our work holds future-of-work implications for elevating creativity.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Recent works suggest that striking a balance between maximizing idea stimulation and minimizing idea redundancy can elevate creativity in self-organizing social networks. background 1.00 0.04 0.06 hedged possibility 0.99
s1 We explore whether dispersing the visibility of idea generators can help achieve such a trade-off. contribution 0.80 0.30 0.03 hedged possibility 0.47
s2 We employ popularity signals (follower counts) of participants as an external source of variation in network structures, which we control across four randomized study conditions. method 0.99 0.95 0.02 asserted 0.97
s3 We observe that popularity signals influence inspiration-seeking ties, partly by biasing people's perception of their peers' creativity. result 0.93 0.88 0.04 asserted 0.94
s4 Networks that partially disperse the ideators' visibility using this external signal show reduced idea-redundancy and elevated creativity. result 1.00 0.95 0.78 asserted 1.00
s5 However, extreme dispersal leads to inferior creativity by narrowing the range of idea stimulation. result 0.98 0.91 0.15 asserted 1.00
s6 Our work holds future-of-work implications for elevating creativity. interpretation 0.78 0.11 0.03 asserted 0.55

What kind of paper the classifier reports this is: empirical study 0.87 · evidence from observation or experiment 0.98.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Recent works suggest that striking a balance between maximizing idea stimulation and minimizing idea redundancy can elevate creativity in self-organizing social networks. We explore whether dispersing the visibility of 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 randomized study conditions. We observe that popularity signals influence inspiration-seeking ties, partly by biasing people's perception of their peers' creativity. Networks that partially disperse the ideators' visibility using this external signal show reduced idea-redundancy and elevated creativity. However, extreme dispersal leads to inferior creativity by narrowing the range of idea stimulation. Our work holds future-of-work implications for elevating creativity.

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