<p>(a) Probability density function (PDF) for the inter-tweet delay of each class. The distributions were created using 100 logarithmically spaced bins between decades and . The power-laws fitted to the tails of the distributions have an exponent for personal accounts, for managed accounts, and for bot-controlled accounts. (b) The complementary cumulative distribution function (CCDF) for the inter-tweet delay in each class is shown along with the power-law distribution fitted to the tail. The full statistics of the power-law fits are presented in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065774#pone-0065774-t002" target="_blank">Table 2</a>.</p
<p>Strength distributions for both received (top) and sent (bottom) messages display a power-law beh...
AbstractSocial media platforms allow rapid information diffusion, and serve as a source of informati...
In this study we use the concept of power law distribution to explore and analyze the network evolut...
<p>Power-law fits to the tail of each class inter-tweet delay distribution in terms of power-law exp...
<p>The “tweets per user” curves show the corresponding distributions for <i>all</i> tweets of the 6,...
<p>(A) Distribution of number of tweets per user during the whole time span. The distribution follo...
<p>Distributions of for delay and span values in for (a) arXiv downloads and (b) Twitter mentions,...
<p>Cumulative distribution function of social diffusion times within Twitter.</p
WWW 2017 CompanionModern social media platforms facilitate the rapid spread of information online. M...
<p>Each volume in CDF is normalized by the average ⟨<i>V</i>⟩. (A) CDF of daily tweet volume of <i>E...
<p>(a) the cumulative distribution of solo tweets about two hashtags and their exponents <i>α</i><su...
<p>Complementary Cumulative Distribution Functions (CCDF) of Twitter mentions for all articles in th...
<p>The logarithmic plots of PDF versus duration time for A) proself (state 1), B) neutral (state 2),...
<p>(A) The distribution of the number of Twitter followers for each legislator. (B) The distribution...
<p>The horizontal axis corresponds to the hours of the day, in hourly bins from 0 (midnight) to 23 h...
<p>Strength distributions for both received (top) and sent (bottom) messages display a power-law beh...
AbstractSocial media platforms allow rapid information diffusion, and serve as a source of informati...
In this study we use the concept of power law distribution to explore and analyze the network evolut...
<p>Power-law fits to the tail of each class inter-tweet delay distribution in terms of power-law exp...
<p>The “tweets per user” curves show the corresponding distributions for <i>all</i> tweets of the 6,...
<p>(A) Distribution of number of tweets per user during the whole time span. The distribution follo...
<p>Distributions of for delay and span values in for (a) arXiv downloads and (b) Twitter mentions,...
<p>Cumulative distribution function of social diffusion times within Twitter.</p
WWW 2017 CompanionModern social media platforms facilitate the rapid spread of information online. M...
<p>Each volume in CDF is normalized by the average ⟨<i>V</i>⟩. (A) CDF of daily tweet volume of <i>E...
<p>(a) the cumulative distribution of solo tweets about two hashtags and their exponents <i>α</i><su...
<p>Complementary Cumulative Distribution Functions (CCDF) of Twitter mentions for all articles in th...
<p>The logarithmic plots of PDF versus duration time for A) proself (state 1), B) neutral (state 2),...
<p>(A) The distribution of the number of Twitter followers for each legislator. (B) The distribution...
<p>The horizontal axis corresponds to the hours of the day, in hourly bins from 0 (midnight) to 23 h...
<p>Strength distributions for both received (top) and sent (bottom) messages display a power-law beh...
AbstractSocial media platforms allow rapid information diffusion, and serve as a source of informati...
In this study we use the concept of power law distribution to explore and analyze the network evolut...