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在向相邻可能性扩展过程中的新奇浪潮。

Waves of novelties in the expansion into the adjacent possible.

作者信息

Monechi Bernardo, Ruiz-Serrano Ãlvaro, Tria Francesca, Loreto Vittorio

机构信息

ISI Foundation, Via Alassio 11C, 10126 Torino, Italy.

Sapienza University of Rome, Physics Dept., Piazzale Aldo Moro 5, 00185 Roma, Italy.

出版信息

PLoS One. 2017 Jun 8;12(6):e0179303. doi: 10.1371/journal.pone.0179303. eCollection 2017.

DOI:10.1371/journal.pone.0179303
PMID:28594909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5464662/
Abstract

The emergence of novelties and their rise and fall in popularity is an ubiquitous phenomenon in human activities. The coexistence of popular evergreens with novel and sometimes ephemeral trends pervades technological, scientific and artistic production. Though this phenomenon is very intuitively captured by our common sense, a comprehensive explanation of how waves of novelties are not hampered by well established old-comers is still lacking. Here we first quantify this phenomenology by empirically looking at different systems that display innovation at very different levels: the creation of hashtags in Twitter, the evolution of online code repositories, the creation of texts and the listening of songs on online platforms. In all these systems surprisingly similar patterns emerge as the non-trivial outcome of two contrasting forces: the tendency of retracing already explored avenues (exploit) and the inclination to explore new possibilities. These findings are naturally explained in the framework of the expansion of the adjacent possible, a recently introduced theoretical framework that postulates the restructuring of the space of possibilities conditional to the occurrence of innovations. The predictions of our theoretical framework are borne out in all the phenomenologies investigated, paving the way to a better understanding and control of innovation processes.

摘要

新奇事物的出现及其流行程度的兴衰是人类活动中普遍存在的现象。流行的常青事物与新颖的、有时是短暂的潮流并存,贯穿于技术、科学和艺术创作之中。尽管这种现象很容易被我们的常识所捕捉,但对于新奇事物的浪潮如何不受既定的旧事物阻碍,仍然缺乏全面的解释。在这里,我们首先通过实证研究不同系统来量化这种现象学,这些系统在非常不同的层面上展示创新:推特上标签的创建、在线代码库的演变、文本的创作以及在线平台上歌曲的收听。在所有这些系统中,令人惊讶的是,作为两种相反力量的非平凡结果,出现了相似的模式:追溯已探索途径的倾向(利用)和探索新可能性的倾向。这些发现自然地在相邻可能域扩展的框架中得到解释,这是一个最近引入的理论框架,它假设可能性空间的重组取决于创新的发生。我们理论框架的预测在所有调查的现象学中都得到了证实,为更好地理解和控制创新过程铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/9f94c1e6cae7/pone.0179303.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/0c2e6f079278/pone.0179303.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/17c578bee5f2/pone.0179303.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/d00ae7437fd1/pone.0179303.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/0b1f87686c16/pone.0179303.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/9f94c1e6cae7/pone.0179303.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/0c2e6f079278/pone.0179303.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/17c578bee5f2/pone.0179303.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/d00ae7437fd1/pone.0179303.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/0b1f87686c16/pone.0179303.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafc/5464662/9f94c1e6cae7/pone.0179303.g005.jpg

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