Correcting for missing data in information cascades

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Inferring Networks of Diffusion and Influence (2012, methodology): “In order to study paths of diffusion over networks, one essentially requires complete information about who in.uences whom, as a single missing link in a sequence of propagations can lead to wrong inferences [Sadikov et al. 2011].”
Social big data: Recent achievements and new challenges (2015, methodology): “In particular, for working with missing data, a k-tree model [79] has been proposed to estimate the complete activation sequences.”
Information and Influence Propagation in Social Networks (2013, methodology): “ere are methods to alleviate this problem, such as the one described by Sadikov et al. [2011].”
Information diffusion in online social networks: a survey (2013, methodology): “[41] develop a method based on a ktree model designed to, given only a fraction of the complete activation sequence, estimate the properties of the complete spreading cascade, such as its size or depth.”