activity
20062024
most citedCharacterizing and modeling citation dynamics

195 citations · 923 across the 23 of their papers we have counts for

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16 papers · 1 filter

physics.soc-ph2024

Identifying influential node groups in networks with core-periphery structure

Gyuho Bae, Philip A. Knight, Young-Ho Eom

Identifying influential spreaders is a crucial problem for practical applications in network science. The core-periphery(C-P) structure, common in many real-world networks, compris…

physics.soc-ph2023★ 7 cited

Empirical analysis of congestion spreading in Seoul traffic network

Jung-Hoon Jung, Young-Ho Eom

Understanding how local traffic congestion spreads in urban traffic networks is fundamental to solving congestion problems in cities. In this work, by analyzing the high resolution…

physics.soc-ph2023★ 13 cited

Global efficiency and network structure of urban traffic flows: A percolation-based empirical analysis

Yungi Kwon, Jung-Hoon Jung, Young-Ho Eom

Making the connection between the function and structure of networked systems is one of the fundamental issues in complex systems and network science. Urban traffic flows are relat…

physics.soc-ph2022★ 3 cited

Copula-based analysis of the generalized friendship paradox in clustered networks

Hang-Hyun Jo, Eun Lee, Young-Ho Eom

A heterogeneous structure of social networks induces various intriguing phenomena. One of them is the friendship paradox, which states that on average your friends have more friend…

physics.soc-ph2021★ 2 cited

Analytical approach to the generalized friendship paradox in networks with correlated attributes

Hang-Hyun Jo, Eun Lee, Young-Ho Eom

One of the interesting phenomena due to the topological heterogeneities in complex networks is the friendship paradox, stating that your friends have on average more friends than y…

physics.soc-ph2017★ 13 cited

Resilience of networks to environmental stress: From regular to random networks

Young-Ho Eom

Despite the huge interest in network resilience to stress, most of the studies have concentrated on internal stress damaging network structure (e.g., node removals). Here we study…