1. A computer implemented system that facilitates analyzing newsgroup similarity, comprising: one or more hardware processors; memory coupled to the one or more hardware processors; a data reception component, stored in the memory and executed by the one or more processors, that receives data relating to a plurality of newsgroups and cross-postings between the plurality of newsgroups; a graphing engine, stored in the memory and executed by the one or more processors, that constructs a weighted graph with a subset of the newsgroups represented as vertices of the graph and cross-postings between two newsgroups of the subset of newsgroups represented as edges between vertices corresponding to the two newsgroups; a filtering component, stored in the memory and executed by the one or more processors, that excludes particular newsgroups from being represented in the weighted graph so as to facilitate reducing a size of the weighted graph; a paring component, stored in the memory and executed by the one or more processors, that removes edges of the graph with a weight less than a threshold weight so as to facilitate reducing the size of the graph; a segmenting component, stored in the memory and executed by the one or more processors, that segments the weighted graph; and a post-processing component, stored in the memory and executed by the one or more processors, that merges a first cluster of vertices and edges of the weighted graph into a second cluster of vertices and edges of the weighted graph if a sum of weights between the clusters is greater than a threshold.