<p>(Left) A small proportion of observed messages for Week 5 (<25%) may explain the spike in the estimated number of edges for that week. (Right) Each data point represents the number of directed edges observed, averaged over 100 simulated subsampling experiments. The dashed line extrapolates the predicted number of edges for greater proportions of sampled data.</p
<p>The distribution refers to tweets that were sent within the first month of the incident. 0 depict...
<p>Colors correspond to different volume bins, see legend in <a href="http://www.plosone.org/article...
<p>Each node represents a Twitter user. Size of nodes is correlated with that user's number of conve...
<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...
<p>(Top) The predicted edge weight distribution. (Bottom, left) Predicted <i>Pr</i>(<i>k</i><sub>in<...
<p>(Top, left) The average in-coming edge weight for each node of degree <i>k</i> is depicted in a l...
<p>(Left) The quantity <i>N</i><sub>repliers</sub> is shown for Weeks 1 to 10, where each data point...
Understanding a network’s temporal evolution appears to require multiple observations of the graph o...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
<p>(Left) Predicted <i>k</i><sub>max,in</sub> and (Right) <i>k</i><sub>max,out</sub> in Twitter repl...
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>Distribution of support ratios before and after resolving tweets for true and false rumours, as w...
Part 3: Social Media and Mobile Applications of AIInternational audienceThe prediction of social med...
<p>The distribution refers to tweets that were sent within the first month of the incident. 0 depict...
<p>Colors correspond to different volume bins, see legend in <a href="http://www.plosone.org/article...
<p>Each node represents a Twitter user. Size of nodes is correlated with that user's number of conve...
<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...
<p>(Top) The predicted edge weight distribution. (Bottom, left) Predicted <i>Pr</i>(<i>k</i><sub>in<...
<p>(Top, left) The average in-coming edge weight for each node of degree <i>k</i> is depicted in a l...
<p>(Left) The quantity <i>N</i><sub>repliers</sub> is shown for Weeks 1 to 10, where each data point...
Understanding a network’s temporal evolution appears to require multiple observations of the graph o...
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. ...
<p>(Left) Predicted <i>k</i><sub>max,in</sub> and (Right) <i>k</i><sub>max,out</sub> in Twitter repl...
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>Distribution of support ratios before and after resolving tweets for true and false rumours, as w...
Part 3: Social Media and Mobile Applications of AIInternational audienceThe prediction of social med...
<p>The distribution refers to tweets that were sent within the first month of the incident. 0 depict...
<p>Colors correspond to different volume bins, see legend in <a href="http://www.plosone.org/article...
<p>Each node represents a Twitter user. Size of nodes is correlated with that user's number of conve...