Results 1 to 10 of about 11,891,122 (316)
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey [PDF]
IEEE Access, 2021 Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems, and epidemiology. Representing complex networks as structures changing over time allow network models to leverage not only structural but also ...
Gabrys, Bogdan +2 more
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A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks [PDF]
Entropy, 2023 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
doaj +2 more sources
Strategy evolution on dynamic networks [PDF]
Nature Computational Science, 2023 Models of strategy evolution on static networks help us understand how population structure can promote the spread of traits like cooperation. One key mechanism is the formation of altruistic spatial clusters, where neighbors of a cooperative individual ...
Qi Su, Alex McAvoy, J. Plotkin
semanticscholar +1 more source
Reliable Community Search in Dynamic Networks [PDF]
Proceedings of the VLDB Endowment, 2022 Searching for local communities is an important research problem that supports advanced data analysis in various complex networks, such as social networks, collaboration networks, cellular networks, etc.
Yifu Tang +5 more
semanticscholar +1 more source
Modeling Time-Varying Random Objects and Dynamic Networks [PDF]
Journal of the American Statistical Association, 2021 Samples of dynamic or time-varying networks and other random object data such as time-varying probability distributions are increasingly encountered in modern data analysis.
Paromita Dubey, H. Müller
semanticscholar +1 more source
Link prediction method for dynamic networks based on matching degree of nodes
网络与信息安全学报, 2022 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, Xinsheng JI, Ushuxin LI, Jinsong LI, Haitao LI
doaj +3 more sources
IEEE Access, 2022 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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Frontiers in Political Science, 2022 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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Moving-Horizon Estimation for Linear Dynamic Networks With Binary Encoding Schemes
IEEE Transactions on Automatic Control, 2021 This article is concerned with moving-horizon state estimation problems for a class of discrete-time linear dynamic networks. The signals are transmitted via noisy network channels and distortions can be caused by channel noises.
Qinyuan Liu, Zidong Wang
semanticscholar +1 more source
Rise of post-pandemic resilience across the distrust ecosystem
Scientific Reports, 2023 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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