Magnetic Eigenmaps for the visualization of directed networks
Work
Year: 2017
Type: article
Institution KU Leuven
Cites: 30
Cited by: 34
Related to: 10
FWCI: 1.088
Citation percentile (by year/subfield): 83.78
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders Fonds Wetenschappelijk Onderzoek, Fonds Wetenschappelijk Onderzoek, Agentschap voor Innovatie door Wetenschap en Technologie, European Research Council
Grant IDS G.088114N, G.0377.12, 100031, 290923