Literature DB >> 21405444

Emergence and decline of scientific paradigms.

S Bornholdt1, M H Jensen, K Sneppen.   

Abstract

Scientific paradigms have a tendency to rise fast and decline slowly. This asymmetry reflects the difficulty in developing a truly original idea, compared to the ease at which a concept can be eroded by numerous modifications. Here we formulate a model for the emergence and spread of ideas which deals with this asymmetry by constraining the ability of agents to return to already abandoned concepts. The model exhibits a fairly regular pattern of global paradigm shifts, where older paradigms are eroded and subsequently replaced by new ones. The model sets the theme for a new class of pattern formation models, where local dynamics breaks the detailed balance in a way that prevents old states from defending themselves against new nucleating or invading states. The model allows for frozen events in terms of the coexistence of multiple metastable states.

Year:  2011        PMID: 21405444     DOI: 10.1103/PhysRevLett.106.058701

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  7 in total

1.  Consensus and polarization in competing complex contagion processes.

Authors:  Vítor V Vasconcelos; Simon A Levin; Flávio L Pinheiro
Journal:  J R Soc Interface       Date:  2019-06-19       Impact factor: 4.118

2.  Phase transitions in paradigm shift models.

Authors:  Huiseung Chae; Soon-Hyung Yook; Yup Kim
Journal:  PLoS One       Date:  2013-08-08       Impact factor: 3.240

3.  Modeling the spread of multiple concurrent contagions on networks.

Authors:  Angel Stanoev; Daniel Trpevski; Ljupco Kocarev
Journal:  PLoS One       Date:  2014-06-12       Impact factor: 3.240

4.  Anatomy of scientific evolution.

Authors:  Jinhyuk Yun; Pan-Jun Kim; Hawoong Jeong
Journal:  PLoS One       Date:  2015-02-11       Impact factor: 3.240

5.  Coevolutionary dynamics of phenotypic diversity and contingent cooperation.

Authors:  Te Wu; Long Wang; Feng Fu
Journal:  PLoS Comput Biol       Date:  2017-01-31       Impact factor: 4.475

6.  The promise of the anti-idiotype concept.

Authors:  Thomas Kieber-Emmons; Bejatohlah Monzavi-Karbassi; Anastas Pashov; Somdutta Saha; Ramachandran Murali; Heinz Kohler
Journal:  Front Oncol       Date:  2012-12-19       Impact factor: 6.244

7.  Faster is more different: mean-field dynamics of innovation diffusion.

Authors:  Seung Ki Baek; Xavier Durang; Mina Kim
Journal:  PLoS One       Date:  2013-07-19       Impact factor: 3.240

  7 in total

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