Observations on the shortest independent loop set algorithm

James Duggan; Enda Howley

doi:http://hdl.handle.net/10379/3933

Observations on the shortest independent loop set algorithm

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Abstract

The shortest independent loop set (SILS) algorithm is a widely adopted loop selection method in eigenvalue elasticity analysis to identify dominant loops. However, we find that, in an individual-based model, the SILS cannot identify the maximal independent feedback loops, which further causes the failure of the loop analysis method. This paper exemplifies this issue with an entire family of this model, and proposes research problems for further study. Copyright (C) 2012 System Dynamics Society.

Original language	English (Ireland)
Journal	System Dynamics Review
Volume	28
DOIs	https://doi.org/http://hdl.handle.net/10379/3933
Publication status	Published - 1 Jul 2012

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Authors
Huang, JJ,Howley, E,Duggan, J

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abstract = "The shortest independent loop set (SILS) algorithm is a widely adopted loop selection method in eigenvalue elasticity analysis to identify dominant loops. However, we find that, in an individual-based model, the SILS cannot identify the maximal independent feedback loops, which further causes the failure of the loop analysis method. This paper exemplifies this issue with an entire family of this model, and proposes research problems for further study. Copyright (C) 2012 System Dynamics Society. ",

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AB - The shortest independent loop set (SILS) algorithm is a widely adopted loop selection method in eigenvalue elasticity analysis to identify dominant loops. However, we find that, in an individual-based model, the SILS cannot identify the maximal independent feedback loops, which further causes the failure of the loop analysis method. This paper exemplifies this issue with an entire family of this model, and proposes research problems for further study. Copyright (C) 2012 System Dynamics Society.

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Observations on the shortest independent loop set algorithm

Abstract

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