  Web services represent a system with a huge number of units and many various
and complex interactions. Complex networks as a tool for modelling and
analyzing natural environments seem to be well adapted to such a complex
system. To describe a set of Web services we propose three Web services network
models based on the notions of dependency, interaction and similarity. Using
the WS-NEXT extractor we instantiate the models with a collection of Web
services descriptions. We take advantage of complex network properties to
provide an analyzis of the Web services networks. Those networks and the
knowledge of their toplogical properties can be exploited for the discovery and
composition processes.
