TU Darmstadt / ULB / TUbiblio

GTNA - A Framework for the Graph-Theoretic Network Analysis

Schiller, Benjamin and Bradler, Dirk and Schweizer, Immanuel and Mühlhäuser, Max and Strufe, Thorsten (2010):
GTNA - A Framework for the Graph-Theoretic Network Analysis.
In: Spring Simulation Multi-Conference - 13th Communications and Networking Symposium (CNS), [Conference or Workshop Item]

Abstract

Concise and reliable graph-theoretic analysis of complex net- works today is a cumbersome task, consisting essentially of the adaptation of intricate libraries for each specific prob- lem instance. The growing number of complex metrics that have been proposed in the last years, which mainly gain significance due to the increasing computational capabili- ties at hand, have led to important new insights in the field. However, they have solely been implemented as single algo- rithms, each specialized for the purpose of calculating exactly the targeted metric for a selected type of network graph. A comprehensive, extensible tool for the concise evaluation of graphs is currently not available. For this purpose we intro- duce the Graph-Theoretic Network Analyzer (GTNA), an ef- ficient, Java-based toolkit for the comprehensive analysis of complex network graphs. GTNA, while already including the main metrics that are used to analyze the complex networks in computer science today, is simple to extend through a well defined plugin interface for metrics, network descriptions and network generator models. Throughout the paper we present the design and simple extensibility of GTNA, as well as the network models and metrics that are already implemented and give examples of its scalability and performance.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Schiller, Benjamin and Bradler, Dirk and Schweizer, Immanuel and Mühlhäuser, Max and Strufe, Thorsten
Title: GTNA - A Framework for the Graph-Theoretic Network Analysis
Language: ["languages_typename_1" not defined]
Abstract:

Concise and reliable graph-theoretic analysis of complex net- works today is a cumbersome task, consisting essentially of the adaptation of intricate libraries for each specific prob- lem instance. The growing number of complex metrics that have been proposed in the last years, which mainly gain significance due to the increasing computational capabili- ties at hand, have led to important new insights in the field. However, they have solely been implemented as single algo- rithms, each specialized for the purpose of calculating exactly the targeted metric for a selected type of network graph. A comprehensive, extensible tool for the concise evaluation of graphs is currently not available. For this purpose we intro- duce the Graph-Theoretic Network Analyzer (GTNA), an ef- ficient, Java-based toolkit for the comprehensive analysis of complex network graphs. GTNA, while already including the main metrics that are used to analyze the complex networks in computer science today, is simple to extend through a well defined plugin interface for metrics, network descriptions and network generator models. Throughout the paper we present the design and simple extensibility of GTNA, as well as the network models and metrics that are already implemented and give examples of its scalability and performance.

Title of Book: Spring Simulation Multi-Conference - 13th Communications and Networking Symposium (CNS)
Uncontrolled Keywords: - P2P - Area Peer-to-Peer Systems;- SCS (Smart Civil Security);Graph theory, Networks, Analysis, Peer-to-peer, Snapshot, Metrics, Framework, GTNA
Divisions: 20 Department of Computer Science > Peer-to-Peer Netzwerke
20 Department of Computer Science > Telecooperation
20 Department of Computer Science
Date Deposited: 27 Jul 2016 16:32
Identification Number: TUD-CS-2010-0160
Related URLs:
Export:

Optionen (nur für Redakteure)

View Item View Item