Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Miha Štajdohar, Janez Demšar
Title: Interactive Network Exploration with Orange
Abstract: Network analysis is one of the most widely used techniques in many areas of modern science. Most existing tools for that purpose are limited to drawing networks and computing their basic general characteristics. The user is not able to interactively and graphically manipulate the networks, select and explore subgraphs using other statistical and data mining techniques, add and plot various other data within the graph, and so on. In this paper we present a tool that addresses these challenges, an add-on for exploration of networks within the general component-based environment Orange.

Page views:: 6388. Submitted: 2009-01-06. Published: 2013-04-21.
Paper: Interactive Network Exploration with Orange     Download PDF (Downloads: 8662)
Supplements:
orange-network.zip: Python source code Download (Downloads: 996; 1MB)
v53i06-replication.txt: Replication instructions for the examples from the manuscript Download (Downloads: 1070; 8KB)
v53i06-script1.py.zip: v53i06-1.py: Example Python script 1 from the manuscript Download (Downloads: 472; 668B)
v53i06-script2.py.zip: v53i06-2.py: Example Python script 2 from the manuscript Download (Downloads: 500; 712B)
DOI: 10.18637/jss.v053.i06

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.