research data . Dataset . 2016

No title available

Open Access
  • Published: 18 Jan 2016
Abstract
<div><p>Graph theory is a valuable framework to study the organization of functional and anatomical connections in the brain. Its use for comparing network topologies, however, is not without difficulties. Graph measures may be influenced by the number of nodes (<em>N</em>) and the average degree (<em>k</em>) of the network. The explicit form of that influence depends on the type of network topology, which is usually unknown for experimental data. Direct comparisons of graph measures between empirical networks with different <em>N</em> and/or <em>k</em> can therefore yield spurious results. We list benefits and pitfalls of various approaches that intend to overc...
Subjects
free text keywords: Neuroscience, comparing, networks, connectivity, graph
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Dataset . 2016
Provider: figshare
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