Inferring Networks From Random Walk-Based Node Similarities

NeurIPS 2018 Jeremy HoskinsCameron MuscoChristopher MuscoBabis Tsourakakis

Digital presence in the world of online social media entails significant privacy risks. In this work we consider a privacy threat to a social network in which an attacker has access to a subset of random walk-based node similarities, such as effective resistances (i.e., commute times) or personalized PageRank scores... (read more)

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