  Although the origin of the fat-tail characteristic of the degree distribution
in complex networks has been extensively researched, the underlying cause of
the degree distribution characteristic across the complete range of degrees
remains obscure. Here, we propose an evolution model that incorporates only two
factors: the node's weight, reflecting its innate attractiveness (nature), and
the node's degree, reflecting the external influences (nurture). The proposed
model provides a good fit for degree distributions and degree ratio
distributions of numerous real-world networks and reproduces their evolution
processes. Our results indicate that the nurture factor plays a dominant role
in the evolution of social networks. In contrast, the nature factor plays a
dominant role in the evolution of non-social networks, suggesting that whether
nodes are people determines the dominant factor influencing the evolution of
real-world networks.
