This dataset contains the maximum quasi-clique families computed for several large real-world networks, including social, platform, and biological interaction graphs. Each CSV file corresponds to one
The first networks are protein networks and the bottom are technological and social networks. The columns refer to the number of nodes () and edges () in the network, density is the edge density and G
The dataset contains the benchmark graphs which analyzed for the paper. Each compressed file starting with the name "iteration k" is consisting 375 graphs. These graphs are generated by using a growin
This dataset consists of 25-45 node graphs generated via BA [1] with uniformly randomly scattered nodes over a grid the size of north america with a minimim of 100km between...
