Transforming complex network to the acyclic one
Roman Shevchuk, Andrew Snarskii

TL;DR
This paper introduces an algorithm to convert undirected complex networks into acyclic networks, enabling better analysis of their structure, communities, and vulnerabilities.
Contribution
The paper presents a novel algorithm for transforming undirected networks into acyclic ones and introduces a new parameter to identify vulnerable nodes.
Findings
Algorithm effectively transforms networks into acyclic structures
Enables identification of communities and key nodes
Proposes a new vulnerability parameter
Abstract
Acyclic networks are a class of complex networks in which links are directed and don't have closed loops. Here we present an algorithm for transforming an ordinary undirected complex network into an acyclic one. Further analysis of an acyclic network allows finding structural properties of the network. With our approach one can find the communities and key nodes in complex networks. Also we propose a new parameter of complex networks which can mark most vulnerable nodes of the system. The proposed algorithm can be applied to finding communities and bottlenecks in general complex networks.
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