Abstract

The study of cultural evolutionary patterns, particularly when dealing with artifacts, is constrained by a lack of powerful quantitative methods. In this work, the project team shows that a simple network approach can reconstruct phylogenetic trees from existing databases of recorded artifact influences. They created novel network tools to visualize the large-scale evolution of programming languages. The simple idea of trees of influence can be extended to many other fields beyond the study of programming languages, offering a new theoretical framework to rigorously quantify cultural and technological evolution.

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Additional Information

ISSN
1530-9282
Print ISSN
0024-094X
Pages
p. 505
Launched on MUSE
2017-09-25
Open Access
No
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