Some of the implementation of theory of social networking are here.
1- Given some nodes add edges randomly until it is connected.
2- girwan's algorithm and brute force.
3- fatman evolutionary model.
4- schekking model implimentation and working with signed network with edges with either + or -.
5- point distribution method and random walk method(for ranking most popular node if we start wisiting nodes randomly in a network).
6- using property of cascading that if we start from a key node then most of the other nodes will be in influence. here comes the concept of social influence.
7- barabassi elbert model and erdos reny model.
8- K-shell decomposition and small world network.(we can connect any two person in this world with just 6 hops at max).
The blank weeks denotes the learning period.
