Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs

WWW (Companion Volume), pp. 564-573, 2017.

Cited by: 15|Bibtex|Views129|DOI:https://doi.org/10.1145/3041021.3054181
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Users on social networks primarily do two things, connect to existing or new friends and exchange information. Recently, social media apps have become the primary information source for users to consume news stories. Users are inundated with a flood of information from social media networks shared by their friends and other content provid...More

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