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IHS; An Integrative Method for the Identification of Network Hubs

23 Pages Posted: 6 Apr 2020 Publication Status: Published

See all articles by Abbas Salavaty

Abbas Salavaty

Monash University - Australian Regenerative Medicine Institute (ARMI)

Mirana Ramialison

Monash University - Development and Stem Cells Program

Peter D. Currie

Monash University - Australian Regenerative Medicine Institute (ARMI)

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Abstract

Biological systems are composed of highly complex networks and decoding the functional significance of individual network components is critical for understanding healthy and diseased states. Several algorithms have been designed to identify the most influential regulatory points, or hub nodes, within a network. However, none of the current methods correct for inherent positional biases which limits their applicability. In addition, none of the currently available hub detection algorithms effectively combine network centrality measures together. To overcome this computational deficit, we undertook a statistical assessment of 200 real-world and simulated networks to decipher associations between centrality measures, and developed an algorithm termed “integrated hubness score” (IHS), which integrates the most important and commonly used network centrality measures, namely degree centrality, betweenness centrality and neighbourhood connectivity, in an unbiased way. When compared against the four most commonly used hub identification methods on four independent validated biological networks, the IHS algorithm outperformed all other assessed methods. Using this universal method, researchers of any discipline can now identify the most influential network nodes.

Keywords: Centrality measure, Hub node, IHS, Network analysis, Systems biology

Suggested Citation

Salavaty, Abbas and Ramialison, Mirana and Currie, Peter D., IHS; An Integrative Method for the Identification of Network Hubs. Available at SSRN: https://ssrn.com/abstract=3565980 or http://dx.doi.org/10.2139/ssrn.3565980
This version of the paper has not been formally peer reviewed.

Abbas Salavaty

Monash University - Australian Regenerative Medicine Institute (ARMI) ( email )

Wellington Road
Clayton, Victoria
Australia

Mirana Ramialison

Monash University - Development and Stem Cells Program

23 Innovation Walk
Clayton Campus
Clayton, Victoria 3800
Australia

Peter D. Currie (Contact Author)

Monash University - Australian Regenerative Medicine Institute (ARMI) ( email )

Wellington Road
Clayton, Victoria
Australia

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