Results 21 to 30 of about 9,577,753 (319)
Temporal bibliographic networks [PDF]
Journal 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 ...
Batagelj, Vladimir, Maltseva, Daria
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Non-Markovian Epidemic Spreading on Temporal Networks [PDF]
Social Science Research Network, 2023 Many empirical studies have revealed that the occurrences of contacts associated with human activities are non-Markovian temporal processes with a heavy tailed inter-event time distribution.
Lilei Han +5 more
semanticscholar +1 more source
ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks [PDF]
The Web Conference, 2022 In network analysis, the betweenness centrality of a node informally captures the fraction of shortest paths visiting that node. The computation of the betweenness centrality measure is a fundamental task in the analysis of modern networks, enabling the ...
D. Santoro, Ilie Sarpe
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Transition Propagation Graph Neural Networks for Temporal Networks [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2022 Researchers of temporal networks (e.g., social networks and transaction networks) have been interested in mining dynamic patterns of nodes from their diverse interactions. Inspired by recently powerful graph mining methods like skip-gram models and graph
Tongya Zheng +8 more
semanticscholar +1 more source
A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks
Entropy, 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 +1 more source
Generating fine-grained surrogate temporal networks [PDF]
Communications Physics, 2022 Surrogate networks are synthetic alternatives to real world networks that avoid expensive data collection and privacy issues, but they often lack information on the temporal or topological properties of the input network.
Antonio Longa +4 more
semanticscholar +1 more source
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Network representation learning aims to generate an embedding for each node in a network, which facilitates downstream machine learning tasks such as node classification and link prediction.
Meng Liu, Yong Liu
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Neural Predicting Higher-order Patterns in Temporal Networks [PDF]
The Web Conference, 2021 Dynamic systems that consist of a set of interacting elements can be abstracted as temporal networks. Recently, higher-order patterns that involve multiple interacting nodes have been found crucial to indicate domain-specific laws of different temporal ...
Yunyu Liu, Jianzhu Ma, Pan Li
semanticscholar +1 more source
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition [PDF]
AAAI Conference on Artificial Intelligence, 2018 Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts or traversal rules, thus resulting in limited expressive power and ...
Sijie Yan, Yuanjun Xiong, Dahua Lin
semanticscholar +1 more source
Embedding and Trajectories of Temporal Networks [PDF]
IEEE Access, 2022 Temporal network data are increasingly available in various domains, and often represent highly complex systems with intricate structural and temporal evolutions.
Chanon Thongprayoon, L. Livi, N. Masuda
semanticscholar +1 more source