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Arnout van de Rijt

Researcher at European University Institute

Publications -  49
Citations -  1754

Arnout van de Rijt is an academic researcher from European University Institute. The author has contributed to research in topics: Population & Social exchange theory. The author has an hindex of 16, co-authored 49 publications receiving 1376 citations. Previous affiliations of Arnout van de Rijt include Cornell University & Stony Brook University.

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The Matthew effect in science funding.

TL;DR: The results show that winners just above the funding threshold accumulate more than twice as much funding during the subsequent eight years as nonwinners with near-identical review scores that fall just below the threshold, suggesting that early funding itself is an asset for acquiring later funding.
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Dynamics of Networks If Everyone Strives for Structural Holes

TL;DR: In this paper, the authors characterize the networks that emerge when everyone strives for structural holes, and they find that the predominant stable networks distribute benefits evenly, confirming that no one is able to maintain a structural advantage in the long run.
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Field experiments of success-breeds-success dynamics

TL;DR: Findings suggest a lesser degree of vulnerability of reward systems to incidental or fabricated advantages and a more modest role for cumulative advantage in the explanation of social inequality than previously thought.
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Choosing your network: social preferences in an online health community.

TL;DR: The results show that the active participants displayed indifference to the fitness and exercise profiles of others, disregarding information about others' fitness levels, exercise preferences, and workout experiences, instead selecting partners almost entirely on the basis of similarities on gender, age, and BMI.
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A Paper Ceiling Explaining the Persistent Underrepresentation of Women in Printed News

TL;DR: The authors empirically isolate media-level factors and examine their effects on women's coverage rates in hundreds of newspapers, finding that societal-level inequalities are the dominant determinants of continued gender differences in coverage.