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Found 7 papers, 3 papers with code
The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level
In this study, we propose to derive information about the alcohol outlet visits of the residents of different neighborhoods from anonymized mobile phone location data, and investigate whether the derived visits can help better predict DV at the neighborhood level.
Impact of Community Structure on Consensus Machine Learning
Here, we analyze the effect on $\tau_\epsilon$ of network community structure, which can arise when compute nodes/sensors are spatially clustered, for example.
Continuous-in-Depth Neural Networks
We first show that ResNets fail to be meaningful dynamical integrators in this richer sense.
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware
The ubiquity of deep neural networks (DNNs), cloud-based training, and transfer learning is giving rise to a new cybersecurity frontier in which unsecure DNNs have `structural malware' (i. e., compromised weights and activation pathways).
Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks
Characterizing the importances of nodes in social, biological, information and technological networks is a core topic for the network-science and data-science communities.
Social and Information Networks Physics and Society 05C82
Post-processing partitions to identify domains of modularity optimization
We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm to prune and prioritize different network community structures identified across multiple runs of possibly various computational heuristics.
Social and Information Networks Physics and Society
Clustering Network Layers With the Strata Multilayer Stochastic Block Model
While each layer provides its own set of information, community structure across layers can be collectively utilized to discover and quantify underlying relational patterns between nodes.
