Reimagined
SUMMARY:
By mining social media data, can Big Data analytic algorithms detect anomalous behaviors, such as cyber-bullying, terrorist planning or fraud dissemination? Liu’s team developed GLAD (Group Latent Anomaly Detection), a statistical machine-learning model that automatically finds anomalies in groups of users, as opposed to just individuals. To achieve this goal, Liu’s team applies this model to both point-wise data (individual e-mails, posts) and pair-wise data (exchange of e-mails) to assign a ranking (0 to 1) of groups in terms of anomalousness by comparing with other similar groups.
— Adam Smith
As “Where’s Waldo?” Book
![Book-0532-2015-02-12](https://magazine.viterbi.usc.edu/wp-content/uploads/Book-0532-2015-02-12.jpg)
As “Divergent” Poster Art
As Esquire Cover
![](https://magazine.viterbi.usc.edu/wp-content/uploads/Magazine-0127-2015-02-27.jpg)
As “Peanuts” Comic Strip
![Newspaper-0025-2015-02-12](https://magazine.viterbi.usc.edu/wp-content/uploads/Newspaper-0025-2015-02-12.jpg)
As Chinese Watercolor