Abstract
In this paper, we investigate networks grow in time according to an attachment rule that is either random or preferential. Based on Markov chain theory, paper provides a rigorous proof for the existence of the steady-state degree distribution of the network generated by this model and gets its corresponding exact formulas. In particular, if attachment rule has preferential attachment, degree distribution of networks obeys power-law form with the exponent adjustable with p.