Finding Communities in Site Web-Graphs and Citation Graphs
Abstract
The Web is a typical example of a social network. One of the most intriguing features of the Web is its self-organization behavior, which is usually faced through the existence of communities. The discovery of the communities in a Web-graph can be used to improve the effectiveness of search engines, for purposes of prefetching, bibliographic citation ranking, spam detection, creation of road-maps and site graphs, etc. Correspondingly, a citation graph is also a social network which consists of communities. The identification of communities in citation graphs can enhance the bibliography search as well as the data-mining. In this paper we will present a fast algorithm which can identify the communities over a given unweighted/undirected graph. This graph may represent a Web-graph or a citation graph.
Cite
@article{arxiv.1208.5464,
title = {Finding Communities in Site Web-Graphs and Citation Graphs},
author = {Antonis Sidiropoulos},
journal= {arXiv preprint arXiv:1208.5464},
year = {2015}
}