ABSTRACT
In this chapter, the author explains the types of analyses with small networks, because he shows most clearly what features to look for and how to characterize them. Several web tools are available for computational analyses of large biological networks. A very practical reason for focusing on static networks or static aspects of dynamic systems is that the mathematics needed for static analyses is incomparably simpler than that required for dealing with temporally changing networks or fully regulated dynamic systems. The subdiscipline of mathematics and computer science addressing static networks is graph theory, which has a long and esteemed history that reaches back to Leonard Euler in the eighteenth century. The important message of this section is the confirmation that it is indeed possible to infer the structure of unknown static networks with some reliability, at least under favorable conditions.
