Introduction to DiNA: An Extendable Web-application for Directed Network Analysis

Máté Széll, Miklós Becsei, Gergely Kocsis

2020

Abstract

A new web-application is presented that can be used to easily express basic properties of directed graphs and run some rather complex algorithms on them. The application builds up from two distinct parts. i.) It contains a core package written in plain Java representing the graph and implementing the algorithms and ii.) it has a web user interface with which it become easy to call methods of the core package. Both the core package and the web-interface were developed in a modular way making it easy to add new algorithms or even to run pre-implemented algorithms of already well-known graph analyzer tools. At the current state of the work we are implementing new algorithms and extending the features of the web user interface. The application is available at http://dina.inf.unideb.hu/.

Paper Citation

in Harvard Style

Széll M., Becsei M. and Kocsis G. (2020). Introduction to DiNA: An Extendable Web-application for Directed Network Analysis.In Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS, ISBN 978-989-758-427-5, pages 129-135. DOI: 10.5220/0009577701290135

in Bibtex Style

@conference{complexis20,
author={Máté Széll and Miklós Becsei and Gergely Kocsis},
title={Introduction to DiNA: An Extendable Web-application for Directed Network Analysis},
booktitle={Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,},
year={2020},
pages={129-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009577701290135},
isbn={978-989-758-427-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,
TI - Introduction to DiNA: An Extendable Web-application for Directed Network Analysis
SN - 978-989-758-427-5
AU - Széll M.
AU - Becsei M.
AU - Kocsis G.
PY - 2020
SP - 129
EP - 135
DO - 10.5220/0009577701290135