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Modeling crowdsourcing as collective problem solving

delete2015-11-10
delete29
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OA
AI
A
Andrea Guazzini
D
Daniele Vilone
C
Camillo Donati
A
Annalisa Nardi
Z
Zoran Levnajić *
DOI:10.1038/srep16557delete
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摘要

摘要

En 中文
Crowdsourcing is a process of accumulating the ideas, thoughts or information from many independent participants, with aim to find the best solution for a given challenge. Modern information technologies allow for massive number of subjects to be involved in a more or less spontaneous way. Still, the full potentials of crowdsourcing are yet to be reached. We introduce a modeling framework through which we study the effectiveness of crowdsourcing in relation to the level of collectivism in facing the problem. Our findings reveal an intricate relationship between the number of participants and the difficulty of the problem, indicating the optimal size of the crowdsourced group. We discuss our results in the context of modern utilization of crowdsourcing.
Keyword:
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Scientific Reports 封面图
Scientific Reports
IF:
3.9
论文数:
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被引数:
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I
istituto di scienze e tecnologie della cognizione (istc-cnr)
学者数:
377
论文数: 281
被引数: 0
U
university of florence
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论文数: 3.1W
被引数: 42
C
consiglio nazionale delle ricerche (cnr)
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被引数: 48
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