Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/844
Title: Fundamentals of complex network analysis
Authors: Savić, Mirko
Ivanović, Mirjana 
Jain L.
Issue Date: 1-Jan-2019
Journal: Intelligent Systems Reference Library
Abstract: © 2019, Springer International Publishing AG, part of Springer Nature. Complex network analysis is a collection of quantitative methods for studying the structure and dynamics of complex networked systems. This chapter presents the fundamentals of complex network analysis. We start out by presenting the basic concepts of complex networks and graph theory. Then, we focus on fundamental network analysis measures and algorithms related to node connectivity, distance, centrality, similarity and clustering. Finally, we discuss fundamental complex network models and their characteristics.
URI: https://open.uns.ac.rs/handle/123456789/844
ISSN: 18684394
DOI: 10.1007/978-3-319-91196-0_2
Appears in Collections:PMF Publikacije/Publications

Show full item record

SCOPUSTM   
Citations

6
checked on May 10, 2024

Page view(s)

31
Last Week
6
Last month
0
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.