A Survey of Network Modeling
1 online resource (69 pages) : PDF
University of North Carolina at Charlotte
Network modeling is a set of techniques for extracting various patterns of interestfrom graphs. They can be used in many real-life analytic fields, such as sales andmarketing, journal reports, government and law enforcement, social networking sites,and technical research. The papers in this survey contribute to advertising by userinterest, detecting organizations in social networks, groups of shared political policies,etc.This survey collects a number of network modeling papers from several researchfields: statistics, data mining, machine learning, and signal processing, and threeother related fields. We also summarize the papers based on the taxonomy andprovide examples based on their tasks. We expect that this survey will be usedto introduce complex network modeling techniques to the communities that are notfamiliar with network modeling techniques, and provide quick reference to identifysuitable methods to different analysis tasks.
Ahmed, DewanWang, Chao
Thesis (M.S.)--University of North Carolina at Charlotte, 2018.
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). For additional information, see http://rightsstatements.org/page/InC/1.0/.
Copyright is held by the author unless otherwise indicated.