Abstract: Based On the number of predecessors and successors of node in activity networks,a kind of coefficient──Coefficient of Network Complexity (CNC)──to measure the com-plexity of networks is proposed. A coefficient──Coefficient of Resource-constrained Networks Complexity(CRNC)──to measure the complexity of resource-constrained networks is pro-vided, Finally,applications of CNC for the designing of GRAN are introduced,and an algorithm to generate random activity networks with a given complexity is presented.

Key words: activation-network analysis, measures-constrints, networks-complexity