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researcher

Seok-Hee Hong

19 papers hereh-index 303.4k citations215 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author12
  • last author2

Across the 16 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CG10
  • cs.DS7
  • cs.HC2
same name
  • Seok-Hee Hong — 3 papers, h 3
  • Seok-Hee Hong — 2 papers, h 2
  • Seok-Hee Hong — 2 papers, h 3
  • Seok-Hee Hong — 1 paper
  • Seok-Hee Hong — 1 paper, h 3
  • Seok-Hee Hong — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102023
most citedA Force-Directed Method for Large Crossing Angle Graph Drawing

17 citations · 45 across the 15 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CG2019

Packing Trees into 1-planar Graphs

Felice De Luca, Emilio Di Giacomo, Seok-Hee Hong +6

We introduce and study the 1-planar packing problem: Given k graphs with n vertices G1​,…,Gk​, find a 1-planar graph that contains the given graphs as edge-disjoint spa…

cs.DS2019★ 2 cited

A Quality Metric for Symmetric Graph Drawings

Amyra Meidiana, Seok-Hee Hong, Peter Eades +1

Symmetry is an important aesthetic criteria in graph drawing and network visualisation. Symmetric graph drawings aim to faithfully represent automorphisms of graphs as geometric sy…

cs.DS2019★ 1 cited

Multi-level Graph Drawing using Infomap Clustering

Seok-Hee Hong, Peter Eades, Marnijati Torkel +5

Infomap clustering finds the community structures that minimize the expected description length of a random walk trajectory; algorithms for infomap clustering run fast in practice…

cs.DS2019

A Quality Metric for Visualization of Clusters in Graphs

Amyra Meidiana, Seok-Hee Hong, Peter Eades +1

Traditionally, graph quality metrics focus on readability, but recent studies show the need for metrics which are more specific to the discovery of patterns in graphs. Cluster anal…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.