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In social network analysis, correlation estimation is a critical part for various applications. With the prevalence of location-based services, geographic information is incorporated as a new perspective to refer the interpersonal correlation. In this paper, we propose a novel multi-scale multi-feature collaborative learning model for robust location-based correlation estimation. Geographic attributes...
In social network, correlation estimation is a critical problem with promising application prospect. Numerical records of the interaction can serve as informative reflections of the correlation between users. However, due to the noise during data acquisition and storage as well as the privacy concern, the interaction data are usually partially observed. Moreover, even if the complete interaction is...
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