<p>Left: ordered model with high C and high L, middle: small-world model with high C and low L, right: random model with low C and low L. Adapted from Watts and Strogatz, Nature 1998.</p
In the last few years the research on networks has taken different directions producing rather unexp...
Many complex networks in nature exhibit two properties that are seemingly at odds. They are clustere...
<p>(A) Eight different patterns of directed closed triads to calculate the clustering coefficient: T...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>Small-world index, Clustering Coefficient, and path length averaged across 100 instantiations for...
<p>The hatched part of each bar graph represents <i>L</i><sub><i>random</i></sub> and <i>C</i><sub><...
The small-world network model is a simple model of the structure of social networks, which simultan...
<p>Distributions of network properties across observed data and null models from the second class of...
<p>Abbreviations: indicates the density (small-world networks per node) and the winsize is set to 1...
<p>(A) The clustering coefficient and (B) the characteristic path length are shown as a function of ...
<p>Scatter plot of and for four canonical network models at different densities: the Erdös-Rényi m...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
<p>Mean path length, clustering coefficient and conservative small-worldness; averages (<i>n</i> = 5...
<p>Explanation of the clustering coefficient and path length using a schematic whole-brain binary ne...
model describes the learning process of a new word, in a population with one speaker and rtant Strog...
In the last few years the research on networks has taken different directions producing rather unexp...
Many complex networks in nature exhibit two properties that are seemingly at odds. They are clustere...
<p>(A) Eight different patterns of directed closed triads to calculate the clustering coefficient: T...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>Small-world index, Clustering Coefficient, and path length averaged across 100 instantiations for...
<p>The hatched part of each bar graph represents <i>L</i><sub><i>random</i></sub> and <i>C</i><sub><...
The small-world network model is a simple model of the structure of social networks, which simultan...
<p>Distributions of network properties across observed data and null models from the second class of...
<p>Abbreviations: indicates the density (small-world networks per node) and the winsize is set to 1...
<p>(A) The clustering coefficient and (B) the characteristic path length are shown as a function of ...
<p>Scatter plot of and for four canonical network models at different densities: the Erdös-Rényi m...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
<p>Mean path length, clustering coefficient and conservative small-worldness; averages (<i>n</i> = 5...
<p>Explanation of the clustering coefficient and path length using a schematic whole-brain binary ne...
model describes the learning process of a new word, in a population with one speaker and rtant Strog...
In the last few years the research on networks has taken different directions producing rather unexp...
Many complex networks in nature exhibit two properties that are seemingly at odds. They are clustere...
<p>(A) Eight different patterns of directed closed triads to calculate the clustering coefficient: T...