Results 11 to 20 of about 381,739 (304)
Gaussian Embedding of Temporal Networks
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
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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
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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
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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
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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
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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
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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
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On inefficiently connecting temporal networks
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
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Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
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
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Temporal logic for social networks
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
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