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

Scale-free network generation model with addition and deletion of nodes based on triadic closure mechanism