Complex networks generated by the Penna bit-string model: Emergence of small-world and assortative mixing

Details Complex networks generated by the Penna bit-string model: Emergence of small-world and assortative mixing Complex networks generated by the Penna bit-string model: Emergence of small-world and assortative mixing

2005-10-25

arxiv.org/abs/cond-mat/0510650v1

Phys. Rev. E 72, 045102, 2005

Physics

Condensed Matter

Disordered Systems and Neural Networks

4 pages, 3 figures

Scientific paper

10.1103/PhysRevE.72.045102

The Penna bit-string model successfully encompasses many phenomena of population evolution, including inheritance, mutation, evolution and ageing. If we consider social interactions among individuals in the Penna model, the population will form a complex network. In this paper, we first modify the Verhulst factor to control only the birth rate, and introduce activity-based preferential reproduction of offspring in the Penna model. The social interactions among individuals are generated by both inheritance and activity-based preferential increase. Then we study the properties of the complex network generated by the modified Penna model. We find that the resulting complex network has a small-world effect and the assortative mixing property.

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