Power law dynamics in genealogical graphs

Several populational networks present complex topologies when implemented in evolutionary algorithms. A common feature of these is the emergence a power law. Power law behavior with different scaling factors can also be observed genealogical networks, but we still not satisfactorily describe its dynamics or relation to population evolution over time. In this paper, use an algorithm measure impact individuals several numerical populations and study through nonextensive statistics. Like this, show evidence that has dynamic This development described using family q-exponential distributions whose parameters are time-dependent follow specific pattern. We elitism significantly influences observed. These results imply shapes deviations static images distributions.