Results 1 to 10 of about 426,852 (266)
A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks [PDF]
In network analysis, real-world systems may be represented via graph models, where nodes and edges represent the set of biological objects (e.g., genes, proteins, molecules) and their interactions, respectively.
Pietro Cinaglia, Mario Cannataro
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Dynamic network prediction [PDF]
AbstractWe present a statistical framework for generating predicted dynamic networks based on the observed evolution of social relationships in a population. The framework includes a novel and flexible procedure to sample dynamic networks given a probability distribution on evolving network properties; it permits the use of a broad class of approaches ...
Ravi Goyal, Victor De Gruttola
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Link prediction method for dynamic networks based on matching degree of nodes
The research of dynamic evolutionary trends and temporal characteristics in real networks which are important part of the real world is a hot research issue nowadays.As a typical research tool in the field of network science, link prediction technique ...
Cong LI +4 more
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We reveal hidden social media machinery that has allowed misinformation to thrive among mainstream users, but which is missing from current policy discussions.
Nicholas J. Restrepo +5 more
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The current military conflict between Russia and Ukraine is accompanied by disinformation and propaganda within the digital ecosystem of social media platforms and online news sources.
Rhys Leahy +3 more
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Visualizing the Evolution of Historical Networks Using Small Multiples in Grid Charts
Historical time presents interesting conceptual problems for network visualization. The manifestations of time in historical network research (HNR) are similarly numerous and distinct. Time in HNR cannot always be reduced to the concept of chronological
Melanie Conroy +3 more
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Rise of post-pandemic resilience across the distrust ecosystem
Why does online distrust (e.g., of medical expertise) continue to grow despite numerous mitigation efforts? We analyzed changing discourse within a Facebook ecosystem of approximately 100 million users who were focused pre-pandemic on vaccine (dis)trust.
Lucia Illari +2 more
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Identification in dynamic networks [PDF]
System identification is a common tool for estimating (linear) plant models as a basis for model-based predictive control and optimization. The current challenges in process industry, however, ask for data-driven modelling techniques that go beyond the single unit/plant models.
Paul M. J. Van den Hof +2 more
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Rapid report of the 8 January 2022 MS 6.9 Menyuan earthquake, Qinghai, China
The MS 6.9 Menyuan earthquake in Qinghai Province, west China is the largest earthquake by far in 2022. The earthquake occurs in a tectonically active region, with a background b-value of 0.87 within 100 km of the epicenter that we derived from the ...
Hongfeng Yang +9 more
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Dynamics of information networks
AbstractWe explore a simple model of network dynamics which has previously been applied to the study of information flow in the context of epidemic spreading. A random rooted network is constructed that evolves according to the following rule: at a constant rate, pairs of nodes (i, j) are randomly chosen to interact, with an edge drawn from i to j (and
Andrei Sontag +2 more
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