Literature DB >> 35939670

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

An Zeng1, Ying Fan1, Zengru Di1, Yougui Wang1, Shlomo Havlin2.   

Abstract

In scientific research, collaboration is one of the most effective ways to take advantage of new ideas, skills, and resources and for performing interdisciplinary research. Although collaboration networks have been intensively studied, the question of how individual scientists choose collaborators to study a new research topic remains almost unexplored. Here, we investigate the statistics and mechanisms of collaborations of individual scientists along their careers, revealing that, in general, collaborators are involved in significantly fewer topics than expected from a controlled surrogate. In particular, we find that highly productive scientists tend to have a higher fraction of single-topic collaborators, while highly cited-i.e., impactful-scientists have a higher fraction of multitopic collaborators. We also suggest a plausible mechanism for this distinction. Moreover, we investigate the cases where scientists involve existing collaborators in a new topic. We find that, compared to productive scientists, impactful scientists show strong preference of collaboration with high-impact scientists on a new topic. Finally, we validate our findings by investigating active scientists in different years and across different disciplines.

Entities:  

Keywords:  controlled surrogate; impactful scientists; research topics; scientific collaboration

Mesh:

Year:  2022        PMID: 35939670      PMCID: PMC9388131          DOI: 10.1073/pnas.2207436119

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  25 in total

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Authors:  M Girvan; M E J Newman
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

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Authors:  M E J Newman
Journal:  Phys Rev Lett       Date:  2002-10-28       Impact factor: 9.161

3.  Quantifying the impact of weak, strong, and super ties in scientific careers.

Authors:  Alexander Michael Petersen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-10       Impact factor: 11.205

4.  Quantifying the evolution of individual scientific impact.

Authors:  Roberta Sinatra; Dashun Wang; Pierre Deville; Chaoming Song; Albert-László Barabási
Journal:  Science       Date:  2016-11-04       Impact factor: 47.728

5.  Hot streaks in artistic, cultural, and scientific careers.

Authors:  Lu Liu; Yang Wang; Roberta Sinatra; C Lee Giles; Chaoming Song; Dashun Wang
Journal:  Nature       Date:  2018-07-11       Impact factor: 49.962

6.  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

Review 7.  Science of science.

Authors:  Santo Fortunato; Carl T Bergstrom; Katy Börner; James A Evans; Dirk Helbing; Staša Milojević; Alexander M Petersen; Filippo Radicchi; Roberta Sinatra; Brian Uzzi; Alessandro Vespignani; Ludo Waltman; Dashun Wang; Albert-László Barabási
Journal:  Science       Date:  2018-03-02       Impact factor: 47.728

8.  The structure of scientific collaboration networks.

Authors:  M E Newman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-09       Impact factor: 11.205

9.  Understanding the group dynamics and success of teams.

Authors:  Michael Klug; James P Bagrow
Journal:  R Soc Open Sci       Date:  2016-04-06       Impact factor: 2.963

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