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Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking
Advanced Materials, EarlyView.Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee +23 more
wiley +1 more source
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Temporal flows in temporal networks
Journal of Computer and System Sciences, 2019We introduce temporal flows on temporal networks. We show that one can find the maximum amount of flow that can pass from a source vertex s to a sink vertex t up to a given time in Polynomial time. We provide a static Time-Extended network (TEG) of polynomial size to the input, and show that temporal flows can be decomposed into flows, each moving ...
Eleni C Akrida +2 more
exaly +2 more sources
Artificial Intelligence, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rina Dechter, Itay Meiri, Judea Pearl
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rina Dechter, Itay Meiri, Judea Pearl
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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Networks (or graphs) are used to represent and analyze large datasets of objects and their relations. Naturally, real-world networks have a temporal component: for instance, interactions between objects have a timestamp and a duration. In this tutorial we present models and algorithms for mining temporal networks, i.e., network data with temporal ...
Gionis, Aristides, Rozenshtein, Polina
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Networks (or graphs) are used to represent and analyze large datasets of objects and their relations. Naturally, real-world networks have a temporal component: for instance, interactions between objects have a timestamp and a duration. In this tutorial we present models and algorithms for mining temporal networks, i.e., network data with temporal ...
Gionis, Aristides, Rozenshtein, Polina
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IEEE Transactions on Circuits and Systems II: Express Briefs, 2019
Temporal networks are composed of individuals with on-and-off interactions. In the study of human dynamics, a typical interaction is interpreted as a coincidental or forced concurrence of two events. Since human beings’ rationality is bounded, the interaction between sentient individuals is normally investigated under the framework of game theory in ...
Yichao Zhang 0001 +6 more
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Temporal networks are composed of individuals with on-and-off interactions. In the study of human dynamics, a typical interaction is interpreted as a coincidental or forced concurrence of two events. Since human beings’ rationality is bounded, the interaction between sentient individuals is normally investigated under the framework of game theory in ...
Yichao Zhang 0001 +6 more
openaire +1 more source
Temporal Multivariate Networks
2014Networks that evolve over time, or dynamic graphs, have been of interest to the areas of information visualization and graph drawing for many years. Typically, the structure of the dynamic graph evolves as vertices and edges are added or removed from the graph.
Daniel Archambault +7 more
openaire +4 more sources
2022
Abstract When a process takes place on an evolving network or this network serves as an evolving substrate of a dynamical system, two time scales naturally emerge: (i) the shortest time of structural changes in a local neighbourhood of each vertex, and (ii) the shortest time (time step) of a process.
Sergey N. Dorogovtsev +1 more
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Abstract When a process takes place on an evolving network or this network serves as an evolving substrate of a dynamical system, two time scales naturally emerge: (i) the shortest time of structural changes in a local neighbourhood of each vertex, and (ii) the shortest time (time step) of a process.
Sergey N. Dorogovtsev +1 more
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Temporal networks: Characterization, motifs and spreading
International School of Physics “Enrico Fermi”, 2019Networks as scaffolds of complex systems are intrinsically dynamic: They grow and shrink, split and merge, as well as there are processes taking place on them like spreading phenomena. As long as the time scale of the change of the network is much slower than that of the processes a static network picture is adequate.
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