
This is a Mathematica notebook created to analyze the replicator dynamics in 3-strategy games under positive and negative selective assortment. To run this notebook, you may use the free Wolfram Player or Mathematica. Please, download version 13.3 or later. If you use this notebook in a publication, we would appreciate it if you could cite it as: Izquierdo, L.R., Izquierdo, S.S. & Hauert, C. (2024). 3-strategy Replicator Dynamics with Selective Assortment. Software. DOI: 10.5281/zenodo.12763923. Luis R. Izquierdo, Segismundo S. Izquierdo & Christoph Hauert
L.R.I. and S.S.I. gratefully acknowledge financial support from the Spanish State Research Agency (PID2020-118906GB-I00/AEI/10.13039/501100011033), from the Regional Government of Castilla y León and the EU-FEDER program (CLU-2019-04 - BIOECOUVA Unit of Excellence of the University of Valladolid), and from the Spanish Ministry of Universities (PRX22/00064 and PRX22/00065). C.H. acknowledges financial support from Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2021-02608.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
