A paper presented at ESSA 2013, Warsaw. Abstract: We consider the problem of finding suitable measures to validate simulated networks as outcome of (agent-based) social simulations. A number of techniques from computer science and social sciences are reviewed in this paper, which tries to compare and ‘fit’ various simulated networks to the avail-able data by using network measures. We look at several social network analy-sis measures but then turn our focus to techniques that not only consider the po-sition of the nodes but also their characteristics and their tendency to cluster with other nodes in the network – subgroup identification. We discuss how stat-ic and dynamic nature of networks may be compared. We conclude by urging a more comprehensive, transparent and rigorous approach to comparing simula-tion-generated networks against the available data.