Literature DB >> 26261301

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

Alexander Michael Petersen1.   

Abstract

Scientists are frequently faced with the important decision to start or terminate a creative partnership. This process can be influenced by strategic motivations, as early career researchers are pursuers, whereas senior researchers are typically attractors, of new collaborative opportunities. Focusing on the longitudinal aspects of scientific collaboration, we analyzed 473 collaboration profiles using an egocentric perspective that accounts for researcher-specific characteristics and provides insight into a range of topics, from career achievement and sustainability to team dynamics and efficiency. From more than 166,000 collaboration records, we quantify the frequency distributions of collaboration duration and tie strength, showing that collaboration networks are dominated by weak ties characterized by high turnover rates. We use analytic extreme value thresholds to identify a new class of indispensable super ties, the strongest of which commonly exhibit >50% publication overlap with the central scientist. The prevalence of super ties suggests that they arise from career strategies based upon cost, risk, and reward sharing and complementary skill matching. We then use a combination of descriptive and panel regression methods to compare the subset of publications coauthored with a super tie to the subset without one, controlling for pertinent features such as career age, prestige, team size, and prior group experience. We find that super ties contribute to above-average productivity and a 17% citation increase per publication, thus identifying these partnerships--the analog of life partners--as a major factor in science career development.

Keywords:  bibliometrics; career evaluation; computational social science; cooperation; team science

Mesh:

Year:  2015        PMID: 26261301      PMCID: PMC4553788          DOI: 10.1073/pnas.1501444112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

1.  Evidence for a collective intelligence factor in the performance of human groups.

Authors:  Anita Williams Woolley; Christopher F Chabris; Alex Pentland; Nada Hashmi; Thomas W Malone
Journal:  Science       Date:  2010-09-30       Impact factor: 47.728

2.  Methods for measuring the citations and productivity of scientists across time and discipline.

Authors:  Alexander M Petersen; Fengzhong Wang; H Eugene Stanley
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-03-24

3.  Team assembly mechanisms determine collaboration network structure and team performance.

Authors:  Roger Guimerà; Brian Uzzi; Jarrett Spiro; Luís A Nunes Amaral
Journal:  Science       Date:  2005-04-29       Impact factor: 47.728

4.  Quantifying social group evolution.

Authors:  Gergely Palla; Albert-László Barabási; Tamás Vicsek
Journal:  Nature       Date:  2007-04-05       Impact factor: 49.962

5.  Coauthorship and citation patterns in the Physical Review.

Authors:  Travis Martin; Brian Ball; Brian Karrer; M E J Newman
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-07-22

6.  Atypical combinations and scientific impact.

Authors:  Brian Uzzi; Satyam Mukherjee; Michael Stringer; Ben Jones
Journal:  Science       Date:  2013-10-25       Impact factor: 47.728

7.  The role of mentorship in protégé performance.

Authors:  R Dean Malmgren; Julio M Ottino; Luís A Nunes Amaral
Journal:  Nature       Date:  2010-06-03       Impact factor: 49.962

8.  Principles of scientific research team formation and evolution.

Authors:  Staša Milojević
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-03       Impact factor: 11.205

9.  Reputation and impact in academic careers.

Authors:  Alexander Michael Petersen; Santo Fortunato; Raj K Pan; Kimmo Kaski; Orion Penner; Armando Rungi; Massimo Riccaboni; H Eugene Stanley; Fabio Pammolli
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-06       Impact factor: 11.205

10.  Systematic inequality and hierarchy in faculty hiring networks.

Authors:  Aaron Clauset; Samuel Arbesman; Daniel B Larremore
Journal:  Sci Adv       Date:  2015-02-12       Impact factor: 14.136

View more
  19 in total

1.  Disambiguation of patent inventors and assignees using high-resolution geolocation data.

Authors:  Greg Morrison; Massimo Riccaboni; Fabio Pammolli
Journal:  Sci Data       Date:  2017-05-16       Impact factor: 6.444

2.  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 3.  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

4.  Editorial.

Authors:  Katy Börner; Bruce Edmonds; Staša Milojević; Andrea Scharnhorst
Journal:  Scientometrics       Date:  2016-08-27       Impact factor: 3.238

5.  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

6.  The anatomy of social dynamics in escape rooms.

Authors:  Rebeka O Szabo; Sandeep Chowdhary; David Deritei; Federico Battiston
Journal:  Sci Rep       Date:  2022-06-22       Impact factor: 4.996

7.  Cooperation patterns of members in networks during co-creation.

Authors:  Kunhao Yang; Itsuki Fujisaki; Kazuhiro Ueda
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.379

8.  The Philosophy of Outliers: Reintegrating Rare Events Into Biological Science.

Authors:  Chelsea N Cook; Angela R Freeman; James C Liao; Lisa A Mangiamele
Journal:  Integr Comp Biol       Date:  2022-02-05       Impact factor: 3.392

9.  To Model or not to Model, That is no Longer the Question for Ecologists.

Authors:  Rupert Seidl
Journal:  Ecosystems       Date:  2017-03       Impact factor: 4.217

10.  Quantifying the negative impact of brain drain on the integration of European science.

Authors:  Omar A Doria Arrieta; Fabio Pammolli; Alexander M Petersen
Journal:  Sci Adv       Date:  2017-04-12       Impact factor: 14.136

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.