Results 1 to 10 of about 9,974,561 (338)
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
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Identifying Communities in Dynamic Networks Using Information Dynamics. [PDF]
Entropy (Basel), 2020 Identifying communities in dynamic networks is essential for exploring the latent network structures, understanding network functions, predicting network evolution, and discovering abnormal network events.
Sun Z +4 more
europepmc +2 more sources
Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators
IEEE Access, 2018 Link prediction is the task of evaluating the probability that an edge exists in a network, and it has useful applications in many domains. Traditional approaches rely on measuring the similarity between two nodes in a static context. Recent research has
Carter Chiu, Justin Zhan
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Dynamic Network Plaid: A Tool for the Analysis of Dynamic Networks [PDF]
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019 Network data that changes over time can be very useful for studying a wide range of important phenomena, from how social network connections change to epidemiology.
Alexandra Lee +2 more
semanticscholar +4 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
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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
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey [PDF]
IEEE Access, 2020 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 ...
Joakim Skarding +2 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
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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
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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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