Results 11 to 20 of about 381,739 (304)

Gaussian Embedding of Temporal Networks

open access: yesIEEE Access, 2023
Representing the nodes of continuous-time temporal graphs in a low-dimensional latent space has wide-ranging applications, from prediction to visualization.
Raphael Romero   +4 more
doaj   +4 more sources

Directed percolation in temporal networks

open access: yesPhysical Review Research, 2022
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]

open access: yesIEEE Transactions on Network Science and Engineering, 2022
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]

open access: yesJournal of Informetrics, 2020
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   +2 more sources

Temporal networks [PDF]

open access: yesPhysics Reports, 2012
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   +5 more sources

Path Homology and Temporal Networks [PDF]

open access: yes, 2021
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   +2 more sources

Motifs in Temporal Networks [PDF]

open access: yesProceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
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   +2 more sources

On inefficiently connecting temporal networks

open access: yesCoRR, 2023
A temporal graph can be represented by a graph with an edge labelling, such that an edge is present in the network if and only if the edge is assigned the corresponding time label. A journey is a labelled path in a temporal graph such that labels on successive edges of the path are increasing, and if all vertices admit journeys to all other vertices ...
Christiann, Esteban   +2 more
openaire   +4 more sources

Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks

open access: yesApplied Sciences, 2023
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

Temporal logic for social networks

open access: yesJournal of Logic and Computation, 2022
Abstract This paper introduces a logic with a class of social network models that is based on standard Linear Temporal Logic, which allows for leveraging the power of existing model checkers for the analysis of social networks. We provide a short literature overview, and then define our logic and its axiomatization, present some simple ...
Vitor Machado, Mario R. F. Benevides
openaire   +2 more sources

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