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Modeling and topological analysis of networks in biological and other complexsystems, must venture beyond the limited consideration of very few networkmetrics like degree, betweenness or assortativity. A proper identification ofinformative and redundant entities from many different metrics, using recentlydemonstrated techniques, is essential. A holistic comparison of networks andgrowth models is best achieved only with the use of such methods.

Systems biology beyond degree, hubs and scale-free networks: the case for multiple metrics in complex networks