  Many real systems exhibit the processes of growth and shrink. In this paper,
we propose a network evolution model based on the simultaneous application of
both node addition and deletion rules. To obtain a higher clustering that is
present in real social networks, the model employs the triadic formation step
at each iteration. The results show that the degree distribution in the
networks generated based on this model follows a power law.
