Evidence map›Paper›PMID 25994298›Full record

ArticleJournal of the Royal Society, Interface2015

Punctuated equilibrium in the large-scale evolution of programming languages.

Sergi Valverde, Ricard V Solé

Erratum issuedAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Idea engines: Unifying innovation & obsolescence from markets & genetic evolution to science.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. The cultural transmission of tacit knowledge.Journal of the Royal Society, Interface · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Evolving complexity: how tinkering shapes cells, software and ecological networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  11. The emergence of consensus: a primer.Royal Society open science · 2018
    Review
  12. Pursuing Darwin's curious parallel: Prospects for a science of cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  13. Major transitions in information technology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Sergi ValverdeICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr Aiguader 80, 08003 Barcelona, Spain Institut de Biologia Evolutiva, CSIC-UPF, Pg Maritim de la Barceloneta 37, 08003 Barcelona, Spain sergi.valverde@upf.edu.
Ricard V SoléICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr Aiguader 80, 08003 Barcelona, Spain Institut de Biologia Evolutiva, CSIC-UPF, Pg Maritim de la Barceloneta 37, 08003 Barcelona, Spain Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA ricard.sole@upf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analogies and differences between biological and cultural evolution have been explored by evolutionary biologists, historians, engineers and linguists alike. Two well-known domains of cultural change are language and technology. Both share some traits relating the evolution of species, but technological change is very difficult to study. A major challenge in our way towards a scientific theory of technological evolution is how to properly define evolutionary trees or clades and how to weight the role played by horizontal transfer of information. Here, we study the large-scale historical development of programming languages, which have deeply marked social and technological advances in the last half century. We analyse their historical connections using network theory and reconstructed phylogenetic networks. Using both data analysis and network modelling, it is shown that their evolution is highly uneven, marked by innovation events where new languages are created out of improved combinations of different structural components belonging to previous languages. These radiation events occur in a bursty pattern and are tied to novel technological and social niches. The method can be extrapolated to other systems and consistently captures the major classes of languages and the widespread horizontal design exchanges, revealing a punctuated evolutionary path.

Indexed as

Models, TheoreticalProgramming Languagescultural evolutionnetworksprogramming languagespunctuated equilibriumsoftwaretechnology

Identifiers

PMID25994298
PMCPMC4590513

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.