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H. Jeong

4 papers hereh-index 215 citations4 works total

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

author position
  • last author1

Across the 1 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SI4
same name
  • H. Jeong — 22 papers, h 15
  • H. Jeong — 18 papers, h 17
  • H. Jeong — 16 papers, h 86
  • H. Jeong — 10 papers, h 5
  • H. Jeong — 5 papers, h 3
  • H. Jeong — 5 papers, h 11

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
20222025
most citedEffective and Efficient Core Computation in Signed Networks

11 citations · 20 across the 3 of their papers we have counts for

collaborators

4 papers

cs.SI2025

Cohesive Subgraph Discovery in Hypergraphs: A Locality-Driven Indexing Framework

Song Kim, Dahee Kim, Taejoon Han +3

Hypergraphs, increasingly utilised for modelling complex and diverse relationships in modern networks, gain much attention representing intricate higher-order interactions. Among v…

cs.SI2024★ 1 cited

Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs

Hyewon Kim, Woocheol Shin, Dahee Kim +3

Hypergraphs serve as a powerful tool for modeling complex relationships across domains like social networks, transactions, and recommendation systems. The (k,g)-core model effectiv…

cs.SI2023★ 8 cited

Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach

Dahee Kim, Junghoon Kim, Sungsu Lim +1

Identifying cohesive subgraphs in hypergraphs is a fundamental problem that has received recent attention in data mining and engineering fields. Existing approaches mainly focus on…

cs.SI2022★ 11 cited

Effective and Efficient Core Computation in Signed Networks

Junghoon Kim, Sungsu Lim, Jungeun Kim

With the proliferation of mobile technology and IT development, people can use social network services at any place and anytime. Among many social network mining problems, identify…

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