NDSU North Dakota State University
Fargo, N.D.
library-image

NDSU Institutional Repository

Mining Representative Cohesive Dense Subgraphs

Show full item record

Click to view higher resolution file
Brazier_MiningRepresentativeCohesiveDenseSubgraphs.pdf
Title: Mining Representative Cohesive Dense Subgraphs
Author: Brazier, Tyler
Abstract: Data mining techniques have an important implication in social and biological network analysis, were we're interested in finding related complexes and communities. A modern paradigm for solving this problem involves finding densely connected interacting members such as bound proteins in a PPI. It's important to also consider the properties of members. In the context of social networks, we might be interested in finding groups of friends of similar age and sharing common interests. This information can lead to better targeting for advertising and suggestions. In this paper, we introduce an algorithm that can be applied to mining entity- relationship networks. Our approach discovers relevant subnetworks by considering density among entities as well as their similar attribute properties. We apply two distinct methods of forming subnetworks in order to find as many relevant complexes as possible. In addition, we supply techniques for summarization and reduction of nearly-redundant subnetworks in the results.
Date: 2014
Subject: Data mining.
Web usage mining.
Online social networks.
Master of Science / Computer Science, College of Science and Mathematics, 2014.
Permalink: http://hdl.handle.net/10365/23675

This item appears in the following Collection(s)

Show full item record

Search DSpace



Advanced Search

Browse

Your Account