Results 11 to 20 of about 4,648,552 (299)
Temporal Flows in Temporal Networks [PDF]
We introduce temporal flows on temporal networks, i.e., networks the links of which exist only at certain moments of time. Such networks are ephemeral in the sense that no link exists after some time. Our flow model is new and differs from the "flows over time" model, also called "dynamic flows" in the literature.
Eleni C. Akrida +4 more
core +14 more sources
Communicability in temporal networks [PDF]
A first-principles approach to quantify the communicability between pairs of nodes in temporal networks is proposed. It corresponds to the imaginary-time propagator of a quantum random walk in the temporal network, which accounts for unique structural and temporal characteristics of both streaming and nonstreaming temporal networks.
Estrada, Ernesto
core +9 more sources
Directed percolation in temporal networks
Connectivity and reachability on temporal networks, which can describe the spreading of a disease, the dissemination of information, or the accessibility of a public transport system over time, have been among the main contemporary areas of study in ...
Arash Badie-Modiri +3 more
doaj +4 more sources
Hiding in Temporal Networks [PDF]
Social network analysis tools can infer various attributes just by scrutinizing one's connections. Several researchers have studied the problem faced by an evader whose goal is to strategically rewire their social connections in order to mislead such tools, thereby concealing their private attributes.
Marcin Waniek +2 more
openaire +2 more sources
Temporal bibliographic networks [PDF]
We present two ways (instantaneous and cumulative) to transform bibliographic networks, using the works' publication year, into corresponding temporal networks based on temporal quantities. We also show how to use the addition of temporal quantities to define interesting temporal properties of nodes, links and their groups thus providing an insight ...
Vladimir Batagelj, Daria Maltseva
openaire +3 more sources
A great variety of systems in nature, society and technology -- from the web of sexual contacts to the Internet, from the nervous system to power grids -- can be modeled as graphs of vertices coupled by edges. The network structure, describing how the graph is wired, helps us understand, predict and optimize the behavior of dynamical systems.
Saramaki, Jari, Holme, Petter
openaire +6 more sources
Temporal abstraction in temporal-difference networks
We present a generalization of temporal-difference networks to include temporally abstract options on the links of the question network. Temporal-difference (TD) networks have been proposed as a way of representing and learning a wide variety of ...
Richard S. Sutton +2 more
openaire +2 more sources
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting [PDF]
Recent studies have shifted their focus towards formulating traffic forecasting as a spatio-temporal graph modeling problem. Typically, they constructed a static spatial graph at each time step and then connected each node with itself between adjacent ...
Philip S. Yu +15 more
core +1 more source
Motifs in Temporal Networks [PDF]
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 the structure and function of these systems.
Ashwin Paranjape +2 more
openaire +3 more sources
Path Homology and Temporal Networks [PDF]
We present an algorithm to compute path homology for simple digraphs, and use it to topologically analyze various small digraphs en route to an analysis of complex temporal networks which exhibit such digraphs as underlying motifs. The digraphs analyzed include all digraphs, directed acyclic graphs, and undirected graphs up to certain numbers of ...
Samir Chowdhury 0001 +2 more
openaire +4 more sources

