Network structure inference, a survey: Motivations, methods, and applications

I Brugere, B Gallagher, TY Berger-Wolf - ACM Computing Surveys …, 2018 - dl.acm.org
Networks represent relationships between entities in many complex systems, spanning from
online social interactions to biological cell development and brain connectivity. In many …

Analysis of medical data using community detection on inferred networks

J Kramer, L Boone, T Clifford, J Bruce… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Performing network-based analysis on medical and biological data makes a wide variety of
machine learning tools available. Clustering, which can be used for classification, presents …

Network model selection for task-focused attributed network inference

I Brugere, C Kanich… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Networks are models representing relationships between entities. Often these relationships
are explicitly given, or we must learn a representation which generalizes and predicts …

Network model selection using task-focused minimum description length

I Brugere, TY Berger-Wolf - Companion Proceedings of the The Web …, 2018 - dl.acm.org
Networks are fundamental models for data used in practically every application domain. In
most instances, several implicit or explicit choices about the network definition impact the …

Inferring network structure from data

I Brugere, TY Berger-Wolf - arXiv preprint arXiv:2004.02046, 2020 - arxiv.org
Networks are complex models for underlying data in many application domains. In most
instances, raw data is not natively in the form of a network, but derived from sensors, logs …

Network Structure Inference: Methodology and Applications

I Brugere - 2020 - search.proquest.com
Networks represent relationships between entities in many complex systems, spanning from
online social interactions to biological cell development and brain connectivity. In these …

Privacy Shadow: Measuring Node Predictability and Privacy Over Time

I Brugere - arXiv preprint arXiv:2004.02047, 2020 - arxiv.org
The structure of network data enables simple predictive models to leverage local
correlations between nodes to high accuracy on tasks such as attribute and link prediction …

[引用][C] Ivan Brugere, University of Illinois at Chicago Brian Gallagher, Lawrence Livermore National Laboratory Tanya Y. Berger-Wolf, University of Illinois at Chicago