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Found 16 papers, 10 papers with code
Exact and rapid linear clustering of networks with dynamic programming
We study the problem of clustering networks whose nodes have imputed or physical positions in a single dimension, such as prestige hierarchies or the similarity dimension of hyperbolic embeddings.
Accurately summarizing an outbreak using epidemiological models takes time
Recent outbreaks of monkeypox and Ebola, and worrying waves of COVID-19, influenza and respiratory syncytial virus, have all led to a sharp increase in the use of epidemiological models to estimate key epidemiological parameters.
The Promise of Cross-Species Coexpression Analysis in Studying the Coevolution and Ecology of Host-Symbiont Interactions
Measuring gene expression simultaneously in both hosts and symbionts offers a powerful approach to explore the biology underlying species interactions.
The network epidemiology of an Ebola epidemic
We leverage the data collected by the surveillance and contact tracing protocols of the Sierra Leone Ministry of Health and Sanitation, the US Centers for Disease Control and Prevention, and other responding partners to validate a network epidemiology framework connecting the population (incidence), community (local forecasts), and individual (secondary infections) scales of disease transmission.
Impact and dynamics of hate and counter speech online
Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse.
Hypergraph reconstruction from network data
Pairwise representations nonetheless remain ubiquitous, because higher-order interactions are often not recorded explicitly in network data.
Bayesian inference of network structure from unreliable data
Most empirical studies of complex networks do not return direct, error-free measurements of network structure.
Social and Information Networks Physics and Society Applications
Countering hate on social media: Large scale classification of hate and counter speech
Hateful rhetoric is plaguing online discourse, fostering extreme societal movements and possibly giving rise to real-world violence.
A Clarified Typology of Core-Periphery Structure in Networks
Core-periphery structure, the arrangement of a network into a dense core and sparse periphery, is a versatile descriptor of various social, biological, and technological networks.
Social and Information Networks Computers and Society Physics and Society
Recovering the past states of growing trees
In principle one can reconstruct the past states of a growing network from only its current state.
Social and Information Networks Physics and Society
Interacting contagions are indistinguishable from social reinforcement
From fake news to innovative technologies, many contagions spread via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single source.
Physics and Society Dynamical Systems Populations and Evolution
Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm
Efficient stochastic simulation algorithms are of paramount importance to the study of spreading phenomena on complex networks.
Physics and Society Social and Information Networks
Universality of the stochastic block model
Mesoscopic pattern extraction (MPE) is the problem of finding a partition of the nodes of a complex network that maximizes some objective function.
Phase transition in the recoverability of network history
Network growth processes can be understood as generative models of the structure and history of complex networks.
Construction of and efficient sampling from the simplicial configuration model
Simplicial complexes are now a popular alternative to networks when it comes to describing the structure of complex systems, primarily because they encode multi-node interactions explicitly.
Physics and Society Statistics Theory Methodology Statistics Theory
Finite size analysis of the detectability limit of the stochastic block model
We then distinguish the concept of average detectability from the concept of instance-by-instance detectability and give explicit formulas for both definitions.
Physics and Society Information Theory Information Theory
