We analyze the evolution of Sznajd Model with synchronous updating in severalcomplex networks. Similar to the model on square lattice, we have found atransition between the state with no-consensus and the state with completeconsensus in several complex networks. Furthermore, by adjusting the networkparameters, we find that a large clustering coefficient favors development of aconsensus. In particular, in the limit of large system size with the initialconcentration p=0.5 of opinion +1, a consensus seems to be never reached forthe Watts-Strogatz small-world network, when we fix the connectivity k and therewiring probability p_s; nor for the scale-free network, when we fix theminimum node degree m and the triad formation step probability p_t.
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