Journal article
Reducing the influence of intramodular connectivity in participation coefficient
M Pedersen, A Omidvarnia, JM Shine, GD Jackson, A Zalesky
Network Neuroscience | MIT PRESS | Published : 2019
DOI: 10.1162/netn_a_00127
Abstract
Both natural and engineered networks are often modular. Whether a network node interacts with only nodes from its own module or nodes from multiple modules provides insight into its functional role. The participation coefficient (PC) is typically used to measure this attribute, although its value also depends on the size and connectedness of the module it belongs to and may lead to nonintuitive identification of highly connected nodes. Here, we develop a normalized PC that reduces the influence of intramodular connectivity compared with the conventional PC. Using brain, C. elegans, airport, and simulated networks, we show that our measure of participation is not influenced by the size or con..
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Grants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
Graeme D. Jackson, National Health and Medical Research Council (http://dx.doi.org/10.13039/501100000925).Andrew Zalesky, National Health and Medical Research Council Senior Research Fellowship B (APP1136649).