Yong-Yeol Ahn

What is he best known for?

The fields of study Yong-Yeol Ahn is best known for:

• Opioid
• Opioid overdose
• Complex network

His Inclusion (mineral) course of study focuses on Social psychology and Popularity and Homophily. Yong-Yeol Ahn merges many fields, such as Popularity and Social psychology, in his writings. His multidisciplinary approach integrates Homophily and Social network analysis in his work. His Data science study frequently draws connections between adjacent fields such as Computational sociology and Altmetrics. Computational sociology and Social network analysis are two areas of study in which he engages in interdisciplinary work. Altmetrics and Data science are frequently intertwined in his study. Yong-Yeol Ahn combines topics linked to Variety (cybernetics) and Outlier with his work on Artificial intelligence. World Wide Web is often connected to Social media analytics in his work. He combines Quantum mechanics and Counterintuitive in his research.

His most cited work include:

• Link communities reveal multiscale complexity in networks (1597 citations)
• Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems (429 citations)
• Virality Prediction and Community Structure in Social Networks (360 citations)

What are the main themes of his work throughout his whole career to date

His Artificial intelligence investigation overlaps with other areas such as Data science, Data mining, Machine learning and Theoretical computer science. In his articles, Yong-Yeol Ahn combines various disciplines, including Machine learning and Artificial intelligence. In most of his World Wide Web studies, his work intersects topics such as Complex network. Complex network connects with themes related to World Wide Web in his study.

Yong-Yeol Ahn most often published in these fields:

• Artificial intelligence (40.68%)
• Data science (28.81%)
• World Wide Web (28.81%)

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