<p>The network size is 22. For each realization, measurements are randomly picked from a time series of temporary evolution. The error bars denote the standard deviations.</p
We develop a methodology with which to calculate typical network statistics by sampling a network th...
A complex network is a network graph with topological mapping features. There is a wide range of sys...
<p>The transition towards arbitrarily large cascade sizes can be estimated theoretically using Eq. (...
<p>The average probability distribution function (PDF) is in black. This PDF came from fitting by <i...
The network autocorrelation model has become an increasingly popular tool for conducting social netw...
<p>Out-degree is the number of regulated genes by a TF or miRNA. In-degree is the number of regulati...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
This work addresses the problem of estimating social network measures. Specifically, the measures at...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
As technology advances, modern networks rapidly evolve. Capturing the dynamic nature of networks and...
<p>High-level statistics in the last snapshot of the social networks analyzed (N = nodes; E = links;...
275 pagesThe main contributions of this thesis can be organized under two main themes: knowledge dis...
The network autocorrelation model has become an increasingly popular tool for conducting social netw...
e study the rate of convergence of Bayesian learning in social networks. Each individual receives a ...
We develop a methodology with which to calculate typical network statistics by sampling a network th...
A complex network is a network graph with topological mapping features. There is a wide range of sys...
<p>The transition towards arbitrarily large cascade sizes can be estimated theoretically using Eq. (...
<p>The average probability distribution function (PDF) is in black. This PDF came from fitting by <i...
The network autocorrelation model has become an increasingly popular tool for conducting social netw...
<p>Out-degree is the number of regulated genes by a TF or miRNA. In-degree is the number of regulati...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
This work addresses the problem of estimating social network measures. Specifically, the measures at...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
As technology advances, modern networks rapidly evolve. Capturing the dynamic nature of networks and...
<p>High-level statistics in the last snapshot of the social networks analyzed (N = nodes; E = links;...
275 pagesThe main contributions of this thesis can be organized under two main themes: knowledge dis...
The network autocorrelation model has become an increasingly popular tool for conducting social netw...
e study the rate of convergence of Bayesian learning in social networks. Each individual receives a ...
We develop a methodology with which to calculate typical network statistics by sampling a network th...
A complex network is a network graph with topological mapping features. There is a wide range of sys...
<p>The transition towards arbitrarily large cascade sizes can be estimated theoretically using Eq. (...
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