Results 31 to 40 of about 323,205 (262)
Embedding and Trajectories of Temporal Networks
Temporal network data are increasingly available in various domains, and often represent highly complex systems with intricate structural and temporal evolutions. Due to the difficulty of processing such complex data, it may be useful to coarse grain temporal network data into a numeric trajectory embedded in a low-dimensional space. We refer to such a
Chanon Thongprayoon +2 more
openaire +3 more sources
Temporal interactions facilitate endemicity in the susceptible-infected-susceptible epidemic model
Data of physical contacts and face-to-face communications suggest temporally varying networks as the media on which infections take place among humans and animals.
Leo Speidel +3 more
doaj +1 more source
Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks during Optimization [PDF]
Temporal network analysis and time evolution of network characteristics are powerful tools in describing the changing topology of dynamic networks. This paper uses such approaches to better visualize and provide analytical measures for the changes in performance that we observed in Voronoi-type spatial coverage, particularly for the example of time ...
Nicholas S. DiBrita +4 more
openaire +4 more sources
Visual Analysis of Contact Patterns in School Environments
Information Visualisation strategies can be applied in a variety of domains. In the context of temporal networks, i.e., networks in which interactions between individuals occur throughout time, efforts have been conducted to develop visual approaches ...
Jean R. PONCIANO +4 more
doaj +1 more source
Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
Many real-world systems can be expressed in temporal networks with nodes playing different roles in structure and function, and edges representing the relationships between nodes.
Enyu Yu +4 more
doaj +1 more source
Phase Transitions in the Kinetic Ising Model on the Temporal Directed Random Regular Graph
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
doaj +1 more source
8 pages, 3 figures, presented at the 2004 conference on Neural Information Processing Systems. in Advances in Neural Information Processing Systems 17 (proceedings of the 2004 conference), Saul, L. K., Weiss, Y., and Bottou, L. (Eds)
Richard S. Sutton, Brian Tanner
openaire +3 more sources
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
doaj +1 more source
Simple Temporal Networks (STNs) provide a powerful and general tool for representing conjunctions of maximum delay constraints over ordered pairs of temporal variables. In this paper we introduce Hyper Temporal Networks (HyTNs), a strict generalization of STNs, to overcome the limitation of considering only conjunctions of constraints but maintaining a
COMIN, CARLO +2 more
openaire +2 more sources
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
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
doaj +1 more source

