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Authors: H. R. Sachin Prabhu and Hua-Liang Wei

Affiliation: The University of Sheffield, United Kingdom

Keyword(s): Bipartite Graphs, Reduced Graphs, Ordered Matching, Rank, Subnetworks.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Information-Based Models for Control ; Modeling, Analysis and Control of Discrete-event Systems ; Signal Processing, Sensors, Systems Modeling and Control ; Signal Reconstruction ; System Modeling

Abstract: The problem of network inference can be solved as a constrained matrix factorization problem where some sparsity constraints are imposed on one of the matrix factors. The solution is unique up to a scaling factor when certain rank conditions are imposed on both the matrix factors. Two key issues in factorising a matrix of data from some netwrok are that of establishing simple identifiability conditions and decomposing a network into identifiable subnetworks. This paper solves both the problems by introducing the notion of an ordered matching in a bipartite graphs. Novel and simple graph theoretical conditions are developed which can replace the aforementioned computationally intensive rank conditions. A simple algorithm to reduce a bipartite graph and a graph preprocessing algorithm to decompose a network into a set of identifiable subsystems is proposed.

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Paper citation in several formats:
Prabhu, H. and Wei, H. (2017). Preprocessing Graphs for Network Inference Applications. In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-263-9; ISSN 2184-2809, SciTePress, pages 406-413. DOI: 10.5220/0006401104060413

@conference{icinco17,
author={H. R. Sachin Prabhu. and Hua{-}Liang Wei.},
title={Preprocessing Graphs for Network Inference Applications},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2017},
pages={406-413},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006401104060413},
isbn={978-989-758-263-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Preprocessing Graphs for Network Inference Applications
SN - 978-989-758-263-9
IS - 2184-2809
AU - Prabhu, H.
AU - Wei, H.
PY - 2017
SP - 406
EP - 413
DO - 10.5220/0006401104060413
PB - SciTePress