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- W3044449851 abstract "Abstract In a social system individual actions have the potential to trigger spontaneous collective reactions. The way and extent to which the activity (number of actions— A ) of an individual causes or is connected to the response (number of reactions— R ) of the system is still an open question. We measure the relationship between activity and response with the distribution of efficiency, a metric defined as $$eta =R/A$$ <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML><mml:mrow><mml:mi>η</mml:mi><mml:mo>=</mml:mo><mml:mi>R</mml:mi><mml:mo>/</mml:mo><mml:mi>A</mml:mi></mml:mrow></mml:math> . Generalizing previous results, we show that the efficiency distribution presents a universal structure in three systems of different nature: Twitter, Wikipedia and the scientific citations network. To understand this phenomenon, we develop a theoretical framework composed of three minimal statistical models that contemplate different levels of dependence between A and R . The models not only are able to reproduce the empirical activity-response data but also can serve as baselines or null models for more elaborated and domain-specific approaches." @default.
- W3044449851 created "2020-07-29" @default.
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- W3044449851 date "2020-07-22" @default.
- W3044449851 modified "2023-10-03" @default.
- W3044449851 title "Impact of individual actions on the collective response of social systems" @default.
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- W3044449851 doi "https://doi.org/10.1038/s41598-020-69005-y" @default.
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