Beware of the Small-World neuroscientist!

Abstract

The SW has undeniably been one of the most popular network descriptors in the neuroscience literature. Two main reasons for its lasting popularity are its apparent ease of computation and the intuitions it is thought to provide on how networked systems operate. Over the last few years, some pitfalls of the SW construct and, more generally, of network summary measures, have widely been acknowledged.

References in corpus (10)

• Efficient Behavior of Small-World Networks
• Communicability in complex networks
• Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
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• The Physics of Communicability in Complex Networks
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• Combining complex networks and data mining: why and how
• FitzHugh-Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena
• Inferring network properties from time series using transfer entropy and mutual information: validation of multivariate versus bivariate approaches
• Ordinal methods for a characterization of evolving functional brain networks
• A perturbation-based approach to identifying potentially superfluous network constituents