Result: Educational Software for Analysis of Complex Networks Using the Spectral Graph Theory

Title:
Educational Software for Analysis of Complex Networks Using the Spectral Graph Theory
Authors:
Contributors:
Faculty of Technical Sciences, University of Pristina, Postal Addresses: Kneza Milosa 7, 38220, Kosovska Mitrovica, Serbia.
Source:
Innovations in Science and Technology Vol.Innovations in Science and Technology Vol. 3. 3:131-143
Publisher Information:
CCSD; Book Publisher International (a part of SCIENCEDOMAIN International), 2022.
Publication Year:
2022
Collection:
collection:TICE
collection:TEL
Original Identifier:
HAL: hal-05084057
Document Type:
Book bookPart<br />Book sections
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.9734/bpi/ist/v3/1813A
DOI:
10.9734/bpi/ist/v3/1813A
Accession Number:
edshal.hal.05084057v1
Database:
HAL

Further Information

This paper describes the educational software for analysis of complex networks using the spectral graph theory and visualization of algorithms. The system is developed in Java programming language and can be executed as a standalone Java application or Java applet. The term network often refers to a real system, such as a web or social network or an Internet infrastructure network. A graph is the mathematical representation of the network. In order to understand a system, it is necessary to understand the graph representing the network of that system. Specific topological features of a graph are used to characterize the connectivity, and have a substantial impact on dynamic processes in complex networks, and the spectral graph theory studies the relationship between graphs and eigenvalues and eigenvectors. The system enables the creation of numerous laboratory exercises that offer students opportunity to visually follow characteristic processes in complex networks.