Literature DB >> 29995850

Hot streaks in artistic, cultural, and scientific careers.

Lu Liu1,2,3, Yang Wang1,2, Roberta Sinatra4,5,6, C Lee Giles3,7, Chaoming Song8, Dashun Wang9,10,11.   

Abstract

The hot streak-loosely defined as 'winning begets more winnings'-highlights a specific period during which an individual's performance is substantially better than his or her typical performance. Although hot streaks have been widely debated in sports1,2, gambling3-5 and financial markets6,7 over the past several decades, little is known about whether they apply to individual careers. Here, building on rich literature on the lifecycle of creativity8-22, we collected large-scale career histories of individual artists, film directors and scientists, tracing the artworks, films and scientific publications they produced. We find that, across all three domains, hit works within a career show a high degree of temporal regularity, with each career being characterized by bursts of high-impact works occurring in sequence. We demonstrate that these observations can be explained by a simple hot-streak model, allowing us to probe quantitatively the hot streak phenomenon governing individual careers. We find this phenomemon to be remarkably universal across diverse domains: hot streaks are ubiquitous yet usually unique across different careers. The hot streak emerges randomly within an individual's sequence of works, is temporally localized, and is not associated with any detectable change in productivity. We show that, because works produced during hot streaks garner substantially more impact, the uncovered hot streaks fundamentally drive the collective impact of an individual, and ignoring this leads us to systematically overestimate or underestimate the future impact of a career. These results not only deepen our quantitative understanding of patterns that govern individual ingenuity and success, but also may have implications for identifying and nurturing individuals whose work will have lasting impact.

Mesh:

Year:  2018        PMID: 29995850     DOI: 10.1038/s41586-018-0315-8

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  22 in total

1.  Scientific elite revisited: patterns of productivity, collaboration, authorship and impact.

Authors:  Jichao Li; Yian Yin; Santo Fortunato; Dashun Wang
Journal:  J R Soc Interface       Date:  2020-04-22       Impact factor: 4.118

2.  The hot hand in the wild.

Authors:  Konstantinos Pelechrinis; Wayne Winston
Journal:  PLoS One       Date:  2022-01-25       Impact factor: 3.240

3.  Impactful scientists have higher tendency to involve collaborators in new topics.

Authors:  An Zeng; Ying Fan; Zengru Di; Yougui Wang; Shlomo Havlin
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-08       Impact factor: 12.779

4.  Significant hot hand effect in the game of cricket.

Authors:  Sumit Kumar Ram; Shyam Nandan; Didier Sornette
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

5.  Age at Nomination Among Soccer Players Nominated for Major International Individual Awards: A Better Proxy for the Age of Peak Individual Soccer Performance?

Authors:  Geir Oterhals; Håvard Lorås; Arve Vorland Pedersen
Journal:  Front Psychol       Date:  2021-05-24

6.  Early-career setback and future career impact.

Authors:  Yang Wang; Benjamin F Jones; Dashun Wang
Journal:  Nat Commun       Date:  2019-10-01       Impact factor: 14.919

7.  A dataset of publication records for Nobel laureates.

Authors:  Jichao Li; Yian Yin; Santo Fortunato; Dashun Wang
Journal:  Sci Data       Date:  2019-04-18       Impact factor: 6.444

8.  Increasing trend of scientists to switch between topics.

Authors:  An Zeng; Zhesi Shen; Jianlin Zhou; Ying Fan; Zengru Di; Yougui Wang; H Eugene Stanley; Shlomo Havlin
Journal:  Nat Commun       Date:  2019-07-31       Impact factor: 14.919

9.  Five decades of US, UK, German and Dutch music charts show that cultural processes are accelerating.

Authors:  Lukas Schneider; Claudius Gros
Journal:  R Soc Open Sci       Date:  2019-08-21       Impact factor: 2.963

10.  Large-scale analysis of delayed recognition using sleeping beauty and the prince.

Authors:  Takahiro Miura; Kimitaka Asatani; Ichiro Sakata
Journal:  Appl Netw Sci       Date:  2021-06-30
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