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• W3091770810 abstract "Several populational networks present complex topologies when implemented in evolutionary algorithms. A common feature of these topologies is the emergence of a power law. In genealogical networks, the power law can be observed by measuring the impact of individuals in the population, which can be calculated through the Event Takeover Value (ETV) algorithm. In this paper, we show evidence that the different power-law deviations, resulting from the ETV distributions of genealogical graphs, are static images of a dynamic evolution that can be well described by $q$-exponential distribution." @default.
• W3091770810 created "2020-10-15" @default.
• W3091770810 creator A5026103971 @default.
• W3091770810 creator A5029254142 @default.
• W3091770810 date "2020-10-12" @default.
• W3091770810 modified "2023-09-27" @default.
• W3091770810 title "Power law dynamics in genealogical graphs." @default.
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• W3091770810 hasPublicationYear "2020" @default.
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