2016 Volume 36 Issue 141 Pages 2-8
Social media is useful for collecting data directly related to humans, such as data regarding actions, interests, and emotions. This article introduces three kinds of examples for the visualization of social data. The first example is the visualization of the ranking of interesting topics; the rankings of topics and their daily fluctuations on Twitter are visualized. It shows rising-patterns, continuity, and burst of topics. The second example is the visualization of spatial distribution of emotions; the occurrence of emotions is represented using isobaric lines on maps. It shows the occurrence and the spread of emotions. The third example is the visualization of temporal-patterns of actions; actions tweeted as something "now" are placed on a two-dimensional plane. It shows the averages and dispersion of the occurrence times of actions.