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[PDF][PDF] Visualizing Time-Dependent Data Using Dynamic t-SNE.
Many interesting processes can be represented as time-dependent datasets. We define a
time-dependent dataset as a sequence of datasets captured at particular time steps. In such …
time-dependent dataset as a sequence of datasets captured at particular time steps. In such …
Natural and artificial dynamics in graphs: Concept, progress, and future
Graph structures have attracted much research attention for carrying complex relational
information. Based on graphs, many algorithms and tools are proposed and developed for …
information. Based on graphs, many algorithms and tools are proposed and developed for …
[HTML][HTML] Dynamics of global business cycle interdependence
In this paper, we provide a comprehensive analysis of the time-varying interdependence
among the economic cycles of the major world economies during the post-Great Moderation …
among the economic cycles of the major world economies during the post-Great Moderation …
Map** market structure evolution
A common element of market structure analysis is the spatial representation of firms'
competitive positions on maps. Such maps typically capture static snapshots in time. Yet …
competitive positions on maps. Such maps typically capture static snapshots in time. Yet …
[كتاب][B] Graph-based social media analysis
I Pitas - 2016 - books.google.com
This book provides a comprehensive introduction to the use of graph analysis in the study of
social media and digital media. It covers the following topics: graphs in social media, graph …
social media and digital media. It covers the following topics: graphs in social media, graph …
Measuring business cycles intra‐synchronization in US: A regime‐switching interdependence framework
This paper proposes a Markov‐switching framework to endogenously identify periods where
economies are more likely to (i) synchronously enter recessionary and expansionary …
economies are more likely to (i) synchronously enter recessionary and expansionary …
Cooperative localization of mobile networks via velocity-assisted multidimensional scaling
This paper considers the problem of cooperative localization in mobile networks. In static
networks, node locations can be obtained from pairwise distance measurements using the …
networks, node locations can be obtained from pairwise distance measurements using the …
Stochastic multidimensional scaling
Multidimensional scaling (MDS) is a popular dimensionality reduction technique that has
been widely used for network visualization and cooperative localization. However, the …
been widely used for network visualization and cooperative localization. However, the …
HUMAP: hierarchical uniform manifold approximation and projection
Dimensionality reduction (DR) techniques help analysts to understand patterns in high-
dimensional spaces. These techniques, often represented by scatter plots, are employed in …
dimensional spaces. These techniques, often represented by scatter plots, are employed in …
Extraction of temporal network structures from graph-based signals
A new framework to track the structure of temporal networks with a signal processing
approach is introduced. The method is based on the duality between static networks and …
approach is introduced. The method is based on the duality between static networks and …