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In online social networks, most relationships are lack of meaning labels (e.g., "colleague" and "intimate friends"), simply because users do not take the time to label them. An interesting question is: can we automatically infer the type of social relationships in a large network? what are the funda ...

Recently the problem of mining social influence has attracted lots of attention. Given a social network, researchers are interested in problems such as how influence, ideas, information propagate in the network. Similar problems have been proposed on co-authorship networks where the goal is to diffe ...

Multi-label learning aims at predicting potentially multiple labels for a given instance. Conventional multi-label learning approaches focus on exploiting the label correlations to improve the accuracy of the learner by building an individual multi-label learner or a combined learner based upon a gr ...