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20202025
most citedEffective and Efficient Core Computation in Signed Networks

11 citations · 33 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SI2025★ 5 cited

Experimental Analysis and Evaluation of Cohesive Subgraph Discovery

Dahee Kim, Song Kim, Jeongseon Kim +4

Retrieving cohesive subgraphs in networks is a fundamental problem in social network analysis and graph data management. These subgraphs can be used for marketing strategies or rec…

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★ 1 cited

LUEM : Local User Engagement Maximization in Networks

Junghoon Kim, Jungeun Kim, Hyun Ji Jeong +1

Understanding a social network is a fundamental problem in social network analysis because of its numerous applications. Recently, user engagement in networks has received extensiv…

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…

cs.SI2022

OCSM : Finding Overlapping Cohesive Subgraphs with Minimum Degree

Junghoon Kim, Sungsu Lim, Jungeun Kim

Cohesive subgraph discovery in a network is one of the fundamental problems and investigated for several decades. In this paper, we propose the Overlapping Cohesive Subgraphs with…