An Evolving Network Model With Local-World Structure

In this paper, a new local-world evolving network model including triad formation mechanism is proposed and studied. Analytical expressions for degree distribution and clustering coefficient are derived using continuum theory. It is shown that the degree distribution transfers from exponential to power-law scaling, and the clustering coefficient is tunable with known parameters. Finally, the numerical simulations of degree distribution are given, and we can observe our analytical results are in good agreement with the simulations.