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01/25/2023
Exact and rapid linear clustering of networks with dynamic programming
We study the problem of clustering networks whose nodes have imputed or ...
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01/20/2023
Accurately summarizing an outbreak using epidemiological models takes time
Recent outbreaks of monkeypox and Ebola, and worrying waves of COVID-19,...
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08/12/2022
Hypergraph reconstruction from noisy pairwise observations
The network reconstruction task aims to estimate a complex system's stru...
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04/01/2022
The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories
Communication surrounding the development of an open source project larg...
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01/18/2022
Cutting Through the Noise to Infer Autonomous System Topology
The Border Gateway Protocol (BGP) is a distributed protocol that manages...
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11/10/2021
Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata
Widespread application of insecticide remains the primary form of contro...
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07/15/2021
Clustering of heterogeneous populations of networks
Statistical methods for reconstructing networks from repeated measuremen...
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03/19/2021
Which contributions count? Analysis of attribution in open source
Open source software projects usually acknowledge contributions with tex...
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09/16/2020
Impact and dynamics of hate and counter speech online
Citizen-generated counter speech is a promising way to fight hate speech...
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08/11/2020
Hypergraph reconstruction from network data
Networks can describe the structure of a wide variety of complex systems...
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08/07/2020
Robust Bayesian inference of network structure from unreliable data
Most empirical studies of complex networks do not return direct, error-f...
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06/02/2020
Countering hate on social media: Large scale classification of hate and counter speech
Hateful rhetoric is plaguing online discourse, fostering extreme societa...
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05/20/2020
A Clarified Typology of Core-Periphery Structure in Networks
Core-periphery structure, the arrangement of a network into a dense core...
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07/29/2019
Improved mutual information measure for classification and community detection
The information theoretic quantity known as mutual information finds wid...
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06/11/2018
On the universality of the stochastic block model
Mesoscopic pattern extraction (MPE) is the problem of finding a partitio...
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03/25/2018
