A COMPUTER SOFTWARE FOR THE EDUCATION OF COMPLEX NETWORK ANALYSIS

Year 2015, Volume: 2 , 57 - 62, 01.09.2015

İlker Türker Alper Talha Karadeniz Serhat Orkun Tan

Abstract

Complex
network analysis is an attractive tool for capturing the self-organizing
principles underlying the social, physical or biological communities. Several
software are developed for either analyzing or generating complex networks,
including the visualization utilities. We developed an open source software in
Microsoft .NET platform for generating networks based on the most common models
as Barabasi-Albert, Erdos-Renyi, Watts-Strogatz including the analyzing
utilities defining the network like average separation, degree distribution,
clustering coefficient etc. In contrast with the well-known software, this
software aims to contribute the understanding of the underlying mechanisms of
complex networks. It also forms a basis to further developments that should
provide an extensive view to network construction. As an open source software,
the opportunity of editing the core functions about network dynamics offer a
pedagogical approach to learn more about self-organizing networks. 

Keywords

complex networks, software, small world, scale free

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