Assortative Mating: Encounter-Network Topology and the Evolution of Attractiveness
| Autor: | Tao Jia, Boleslaw K. Szymanski, Thomas Caraco, Gyorgy Korniss, Stephen Dipple |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Attractiveness Social and Information Networks (cs.SI) FOS: Computer and information sciences Physics - Physics and Society Multidisciplinary Offspring Assortative mating Populations and Evolution (q-bio.PE) FOS: Physical sciences Computer Science - Social and Information Networks Physics and Society (physics.soc-ph) Biology Network topology Article 03 medical and health sciences 030104 developmental biology FOS: Biological sciences Statistics Quantitative Biology - Populations and Evolution Selection (genetic algorithm) |
| Zdroj: | Scientific Reports |
| DOI: | 10.48550/arxiv.1612.03729 |
| Popis: | We model a social-encounter network where linked nodes match for reproduction in a manner depending probabilistically on each node`s attractiveness. The developed model reveals that increasing either the network`s mean degree or the ``choosiness`` exercised during pair-formation increases the strength of positive assortative mating. That is, we note that attractiveness is correlated among mated nodes. Their total number also increases with mean degree and selectivity during pair-formation. By iterating over model mapping of parents onto offspring across generations, we study the evolution of attractiveness. Selection mediated by exclusion from reproduction increases mean attractiveness, but is rapidly balanced by skew in the offspring distribution of highly attractive mated pairs. Comment: 17 pages, 7 figures |
| Databáze: | OpenAIRE |
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