<p>(Left) The quantity <i>N</i><sub>repliers</sub> is shown for Weeks 1 to 10, where each data point (dot) represents the average over 100 simulated subsampling experiments. The dashed line represents the best fitting model of the form <i>N</i><sub>repliers</sub> = <i>ax<sup>b</sup></i> to the observed data. We extrapolate this model to predict <i>N</i><sub>repliers</sub>. (Right) The same as panel, except for <i>N</i><sub>receivers.</sub></p
In real-world applications, observations are often constrained to a small fraction of a system. Such...
A: Sample network target response intensity by trial type. Each horizontal line of the plot summariz...
<p>Panel A shows the distribution in number of followers (or reach) across <i>k</i>-shells. Panel B ...
<p>(Left) A small proportion of observed messages for Week 5 (<25%) may explain the spike in the est...
<p>Each data point represents the observed average in- and out-degree, averaged over 100 simulated s...
<p>Each data point represents the observed maximum in- and out-degree, averaged over 100 simulated s...
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. ...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
<p>(Top) The predicted edge weight distribution. (Bottom, left) Predicted <i>Pr</i>(<i>k</i><sub>in<...
<p>Figure shows a plot of the number of networks correctly identified (as of total) with decreasing...
<p>This graph shows the predictive accuracy of the machine learning models on the test slides using ...
Twitter dataset collected in 2018 on #netneutrality. The smaller dataset is a sample of the larger...
a, Truncated lognormal fit. Light and dark blue lines are fit with theoretical distribution function...
Recently, retweeting is found to be an important action to understand diffusion in microblogging sit...
In real-world applications, observations are often constrained to a small fraction of a system. Such...
A: Sample network target response intensity by trial type. Each horizontal line of the plot summariz...
<p>Panel A shows the distribution in number of followers (or reach) across <i>k</i>-shells. Panel B ...
<p>(Left) A small proportion of observed messages for Week 5 (<25%) may explain the spike in the est...
<p>Each data point represents the observed average in- and out-degree, averaged over 100 simulated s...
<p>Each data point represents the observed maximum in- and out-degree, averaged over 100 simulated s...
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. ...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
<p>(Top) The predicted edge weight distribution. (Bottom, left) Predicted <i>Pr</i>(<i>k</i><sub>in<...
<p>Figure shows a plot of the number of networks correctly identified (as of total) with decreasing...
<p>This graph shows the predictive accuracy of the machine learning models on the test slides using ...
Twitter dataset collected in 2018 on #netneutrality. The smaller dataset is a sample of the larger...
a, Truncated lognormal fit. Light and dark blue lines are fit with theoretical distribution function...
Recently, retweeting is found to be an important action to understand diffusion in microblogging sit...
In real-world applications, observations are often constrained to a small fraction of a system. Such...
A: Sample network target response intensity by trial type. Each horizontal line of the plot summariz...
<p>Panel A shows the distribution in number of followers (or reach) across <i>k</i>-shells. Panel B ...