11 citations · 11 across the 5 of their papers we have counts for
5 papers
Balancing between the Local and Global Structures (LGS) in Graph Embedding
Jacob Miller, Vahan Huroyan, Stephen Kobourov
We present a method for balancing between the Local and Global Structures (LGS) in graph embedding, via a tunable parameter. Some embedding methods aim to capture global structures…
On the Perception of Small Sub-graphs
Jacob Miller, Mohammad Ghoniem, Hsiang-Yun Wu +1
Interpreting a node-link graph is enhanced if similar subgraphs (or motifs) are depicted in a similar manner; that is, they have the same visual form. Small motifs within graphs ma…
Spherical Graph Drawing by Multi-dimensional Scaling
Jacob Miller, Vahan Huroyan, Stephen Kobourov
We describe an efficient and scalable spherical graph embedding method. The method uses a generalization of the Euclidean stress function for Multi-Dimensional Scaling adapted to s…
Browser-based Hyperbolic Visualization of Graphs
Jacob Miller, Stephen Kobourov, Vahan Huroyan
Hyperbolic geometry offers a natural focus + context for data visualization and has been shown to underlie real-world complex networks. However, current hyperbolic network visualiz…
Estimating Propensity Parameters using Google PageRank and Genetic Algorithms
David Murrugarra, Jacob Miller, Alex Mueller
Stochastic Boolean networks, or more generally, stochastic discrete networks, are an important class of computational models for molecular interaction networks. The stochasticity s…