Results 11 to 20 of about 9,577,753 (319)
The shape of memory in temporal networks. [PDF]
Nat Commun, 2022 How to best define, detect and characterize network memory, i.e. the dependence of a network’s structure on its past, is currently a matter of debate. Here we show that the memory of a temporal network is inherently multidimensional, and we introduce a ...
Williams OE +3 more
europepmc +3 more sources
MODIT: MOtif DIscovery in Temporal Networks [PDF]
Frontiers 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
Dynamics of cascades on burstiness-controlled temporal networks. [PDF]
Nat Commun, 2021 Burstiness, the tendency of interaction events to be heterogeneously distributed in time, is critical to information diffusion in physical and social systems.
Unicomb S +3 more
europepmc +3 more sources
Directed percolation in temporal networks [PDF]
Physical 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 +2 more sources
Companion Proceedings of the ACM Web Conference 2024In World Wide Web (WWW) systems, networks (or graphs) serve as a fundamental tool for representing, analyzing, and understanding linked data, providing significant insights into the underlying systems.
Aristides Gionis +2 more
openaire +2 more sources
Relevance of temporal cores for epidemic spread in temporal networks. [PDF]
Sci Rep, 2020 Temporal networks are widely used to represent a vast diversity of systems, including in particular social interactions, and the spreading processes unfolding on top of them.
Ciaperoni M +5 more
europepmc +3 more sources
Identifying critical nodes in temporal networks by network embedding. [PDF]
Sci Rep, 2020 Critical nodes in temporal networks play more significant role than other nodes on the structure and function of networks. The research on identifying critical nodes in temporal networks has attracted much attention since the real-world systems can be ...
Yu EY, Fu Y, Chen X, Xie M, Chen DB.
europepmc +2 more sources
Do We Really Need Complicated Model Architectures For Temporal Networks? [PDF]
International Conference on Learning Representations, 2023 Recurrent neural network (RNN) and self-attention mechanism (SAM) are the de facto methods to extract spatial-temporal information for temporal graph learning.
Weilin Cong +7 more
semanticscholar +1 more source
Temporal Flows in Temporal Networks [PDF]
Journal 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.
Akrida, Eleni C. +4 more
+13 more sources
Influence maximization on temporal networks: a review [PDF]
Applied Network Science, 2023 Influence maximization (IM) is an important topic in network science where a small seed set is chosen to maximize the spread of influence on a network.
Eric Yanchenko, T. Murata, Petter Holme
semanticscholar +1 more source