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Navigation on temporal networks [PDF]

open access: yesApplied Network Science
Temporal networks, whose network topology changes over time, are used to represent, e.g., opportunistic mobile networks, vehicle networks, and social contact networks, where two mobile devices (autos or individuals) are connected only when they are close
Omar F. Robledo   +2 more
doaj   +5 more sources

MODIT: MOtif DIscovery in Temporal Networks [PDF]

open access: yesFrontiers in Big Data, 2022
Temporal networks are graphs where each edge is linked with a timestamp, denoting when an interaction between two nodes happens. According to the most recently proposed definitions of the problem, motif search in temporal networks consists in finding and
Roberto Grasso   +4 more
doaj   +2 more sources

A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks

open access: yesEntropy, 2023
In network analysis, real-world systems may be represented via graph models, where nodes and edges represent the set of biological objects (e.g., genes, proteins, molecules) and their interactions, respectively.
Pietro Cinaglia, Mario Cannataro
doaj   +3 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 Flows in Temporal Networks [PDF]

open access: yesJournal of Computer and System Sciences, 2017
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
openaire   +11 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

A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks

open access: yesEntropy, 2023
Understanding the evolutionary patterns of real-world complex systems such as human interactions, biological interactions, transport networks, and computer networks is important for our daily lives.
Khushnood Abbas   +5 more
doaj   +1 more source

Detecting the driver nodes of temporal networks

open access: yesNew Journal of Physics, 2023
Detecting the driver nodes of complex networks has garnered significant attention recently to control complex systems to desired behaviors, where nodes represent system components and edges encode their interactions.
Tingting Qin, Gaopeng Duan, Aming Li
doaj   +1 more source

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