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Found 3 papers, 2 papers with code
Graph Pattern Mining and Learning through User-defined Relations (Extended Version)
In this work we propose R-GPM, a parallel computing framework for graph pattern mining (GPM) through a user-defined subgraph relation.
Characterizing and Detecting Hateful Users on Twitter
We observe that hateful users are densely connected, and thus formulate the hate speech detection problem as a task of semi-supervised learning over a graph, exploiting the network of connections on Twitter.
Computers and Society Social and Information Networks
A latent shared-component generative model for real-time disease surveillance using Twitter data
Exploiting the large amount of available data for addressing relevant social problems has been one of the key challenges in data mining.
