  Relevance and importance are the main factors when humans build network
connections. We propose an evolutionary network model based on preferential
attachment(PA) considering these factors. We analyze and compute several
important features of the network class generated by this algorithm including
scale free degree distribution, high clustering coefficient, small world
property and core-periphery structure. We then compare this model with other
network models and empirical data such as inter-city road transportation and
air traffic networks.
