遇见数据集

GLM negative binomial model using source, style and theme variables predicting number of per-tweet retweets during the Boston Marathon Bombing.

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NIAID Data Ecosystem2026-03-08 收录
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tNote: Although not shown here, source accounts (excluding ‘Alert Boston’ for a baseline) are included as dummy variables to directly estimate fixed effects. Table 3 below shows these effects. Dispersion parameter: 2.07 (Theta = .56) Null Deviance: 9398 on 697 degrees of freedom. Residual Deviance: 7802 on 664 degrees of freedom. AICc: 7876 * p <.05, *** p <.001 GLM negative binomial model using source, style and theme variables predicting number of per-tweet retweets during the Boston Marathon Bombing.

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2015-08-21
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