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A performance characteristic curve for model evaluation: the application in information diffusion prediction
We propose a metric based on information entropy to quantify the randomness in diffusion data, then identify a scaling pattern between the randomness and the prediction accuracy of the model.
Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures
Formation of a hierarchy within an organization is a natural way of assigning the duties, delegating responsibilities and optimizing the flow of information.
Learning in Unlabeled Networks - An Active Learning and Inference Approach
The question that arises is: "labels of which nodes should be collected and used for learning in order to provide the best classification accuracy for the whole network?".
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