This dataset contains tweets ID posted before and after one week Tohoku Earthquake and iPhone 4 announcement. We collected 11,418,600 tweets posted in the interval of 301 from 4th March 2011 to 16th March and 2,319,874 tweets posted in the interval of from 1st June 2010 to 17th June 2010 by 438,464 users, which are mainly Japanese tweets, to know the dynamics in Twitter when Japan had huge earthquakes in 11th March 2011 and iPhone announcement in 7th June 2010
Quantifying public discourse is a topic of perennial interest in the social sciences. With the adven...
ABSTRACT We perform a temporal analysis of the Twitter stream to investigate the evolution of unique...
This dataset was used in the manuscript "Scaling laws and dynamics of hashtags on Twitter".. The Tw...
This dataset contains tweets ID posted before and after one week Tohoku Earthquake and iPhone 4 anno...
Micro-blogging services, such as Twitter, offer opportunities to analyse user behaviour. Discovering...
<div><p></p><p>Online social media are increasingly facilitating our social interactions, thereby ma...
<p>Tweet probability distribution for March 11, 2011, the day of the Tohoku-oki earthquake, showing ...
<p>(a) evolution of the cumulative number of users with time (green circles), where is from our mo...
Twitter data is known to be a valuable source for rescue and helping activities in case of natural d...
Microblogging platforms such as Twitter have recently re-ceived much attention as great sources for ...
Log-log plot of the fractional change in tweet rate as a function of follower count for (a) before a...
During natural disasters, social media can play prominent roles in how publics learn and communicate...
<p>Tweet probability distribution, and the rankings of the popularity and the enhancement of key ter...
<p>(A) Tweet count series for February and March 2011. Unthresholded recurrence plot <a href="http:/...
This repository contains a set of Twitter datasets containing metadata of tweets and retweets posted...
Quantifying public discourse is a topic of perennial interest in the social sciences. With the adven...
ABSTRACT We perform a temporal analysis of the Twitter stream to investigate the evolution of unique...
This dataset was used in the manuscript "Scaling laws and dynamics of hashtags on Twitter".. The Tw...
This dataset contains tweets ID posted before and after one week Tohoku Earthquake and iPhone 4 anno...
Micro-blogging services, such as Twitter, offer opportunities to analyse user behaviour. Discovering...
<div><p></p><p>Online social media are increasingly facilitating our social interactions, thereby ma...
<p>Tweet probability distribution for March 11, 2011, the day of the Tohoku-oki earthquake, showing ...
<p>(a) evolution of the cumulative number of users with time (green circles), where is from our mo...
Twitter data is known to be a valuable source for rescue and helping activities in case of natural d...
Microblogging platforms such as Twitter have recently re-ceived much attention as great sources for ...
Log-log plot of the fractional change in tweet rate as a function of follower count for (a) before a...
During natural disasters, social media can play prominent roles in how publics learn and communicate...
<p>Tweet probability distribution, and the rankings of the popularity and the enhancement of key ter...
<p>(A) Tweet count series for February and March 2011. Unthresholded recurrence plot <a href="http:/...
This repository contains a set of Twitter datasets containing metadata of tweets and retweets posted...
Quantifying public discourse is a topic of perennial interest in the social sciences. With the adven...
ABSTRACT We perform a temporal analysis of the Twitter stream to investigate the evolution of unique...
This dataset was used in the manuscript "Scaling laws and dynamics of hashtags on Twitter".. The Tw...