Already, some information about synchronization, kuramoto model, structure of networks and some special property of networks was submitted. In this study we focus on explosive synchronization transition. If we assume a set of networks with equal average of degrees, then correlate dynamical and structural attributes (i.e identify the internal frequency of each node directly with it's degree), explosive synchronization will be observed in scale free networks. In this algorithm, we have all nodes and select one of them and draw it's edges with uniform or preferential probability that is an arbitrary parameter between 0 and 1. Replacing a positive exponent of their degree with internal frequency, repeat the transition too. Recently, scientists use mean field approximations to determine the critical coupling of such explosive synchronization. The results show an inverse dependence with the network average of degrees. Now, we change previous algorithm and make network growing with time, i.e a node will added at each step of time and its edges will drew with same arbitrary parameter, named . So, we can see explosive synchronization at 3 values of . The transition didn't seen for random graph. Also we qualify some properties of two networks and compare them to realize the reasons of their variances. Keywords Synchronization, Network, Kuramoto model, Explosive transition
