  Random graphs are more and more used for modeling real world networks such as
evolutionary networks of proteins. For this purpose we look at two different
models and analyze how properties like connectedness and degree distributions
are inherited by differently constructed subgraphs. We also give a formula for
the variance of the degrees of fixed nodes in the preferential attachment model
and additionally draw a connection between weighted graphs and electrical
networks.
