Results 31 to 40 of about 1,239,914 (289)
IEEE Access, 2023 One of the key goals of Informetrics is to identify citation-based popular articles among so many other aspects, such as determining popular research topics, identifying influential scholars, and predicting hot trends in science. These can be achieved by
Khushnood Abbas +9 more
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Phase Transitions in the Kinetic Ising Model on the Temporal Directed Random Regular Graph
Frontiers in Physics, 2017 We investigate a kinetic Ising model with the Metropolis algorithm on the temporal directed random q-regular graph. We introduce a rewiring time τ as a parameter of the model and show that there is a critical τ = τ* above which the model exhibits ...
Grzegorz Marcjasz +1 more
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Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach [PDF]
, 2013 The increasing availability of temporal network data is calling for more research on extracting and characterizing mesoscopic structures in temporal networks and on relating such structure to specific functions or properties of the system. An outstanding
Cattuto, Ciro +2 more
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Random walks on temporal networks [PDF]
, 2012 Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at various timescales, and their dynamics has profound consequences for any processes in which they are involved. The first empirical analysis of the temporal
Baronchelli, Andrea +3 more
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Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
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 ...
Joakim Skarding +2 more
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Proceedings of the AAAI Conference on Artificial Intelligence, 2020 For a long time, the vision community tries to learn the spatio-temporal representation by combining convolutional neural network together with various temporal models, such as the families of Markov chain, optical flow, RNN and temporal convolution. However, these pipelines consume enormous computing resources due to the alternately learning process ...
Shao, Hao, Qian, Shengju, Liu, Yu
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Effect of risk perception on epidemic spreading in temporal networks [PDF]
, 2017 Many progresses in the understanding of epidemic spreading models have been obtained thanks to numerous modeling efforts and analytical and numerical studies, considering host populations with very different structures and properties, including complex ...
Barrat, Alain +2 more
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Backtracking and Mixing Rate of Diffusion on Uncorrelated Temporal Networks
Entropy, 2017 We consider the problem of diffusion on temporal networks, where the dynamics of each edge is modelled by an independent renewal process. Despite the apparent simplicity of the model, the trajectories of a random walker exhibit non-trivial properties ...
Martin Gueuning +2 more
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, 2016 Networks are a fundamental tool for modeling complex systems in a variety of domains including social and communication networks as well as biology and neuroscience. Small subgraph patterns in networks, called network motifs, are crucial to understanding
Benson, Austin R. +2 more
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Discrete Temporal Models of Social Networks [PDF]
, 2009 We propose a family of statistical models for social network evolution over time, which represents an extension of Exponential Random Graph Models (ERGMs).
Fu, Wenjie, Hanneke, Steve, Xing, Eric
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