most citedNetwork dynamics of innovation processes

174 citations

7 papers

cs.CL2017151 cited

Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers

Arkaitz Zubiaga, Elena Kochkina, Maria Liakata +5

Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becomi…

cs.AI20173 cited

Goal-Driven Query Answering for Existential Rules with Equality

Michael Benedikt, Boris Motik, Efthymia Tsamoura

Inspired by the magic sets for Datalog, we present a novel goal-driven approach for answering queries over terminating existential rules with equality (aka TGDs and EGDs). Our tech…

stat.CO20172 cited

A determinant-free method to simulate the parameters of large Gaussian fields

Louis Ellam, Heiko Strathmann, Mark Girolami +1

We propose a determinant-free approach for simulation-based Bayesian inference in high-dimensional Gaussian models. We introduce auxiliary variables with covariance equal to the in…

physics.soc-ph2017174 cited

Network dynamics of innovation processes

Iacopo Iacopini, Staša Milojević, Vito Latora

We introduce a model for the emergence of innovations, in which cognitive processes are described as random walks on the network of links among ideas or concepts, and an innovation…

math.ST2017

Discovery of statistical equivalence classes using computer algebra

Christiane Görgen, Anna Bigatti, Eva Riccomagno +1

Discrete statistical models supported on labelled event trees can be specified using so-called interpolating polynomials which are generalizations of generating functions. These ad…

cs.LG201711 cited

Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis

Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar

Critically ill patients in regular wards are vulnerable to unanticipated adverse events which require prompt transfer to the intensive care unit (ICU). To allow for accurate progno…