Yong-Yeol Ahn
Statistical and Nonlinear Physics · 2007–2021
A researcher in the Science corpus: 9 papers; trusts 32 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 116 citations into it; #852 of 10,127 by trust here, #514 by citations
- Sociology and Political Science — 50 citations into it
- Computer Networks and Communications — 34 citations into it
- Artificial Intelligence — 33 citations into it; #22,502 of 35,345 by trust here, #7,858 by citations
- Molecular Biology — 33 citations into it; #1,702 of 17,773 by trust here, #7,298 by citations
- Information Systems — 18 citations into it
- Economics and Econometrics — 16 citations into it
- Transportation — 9 citations into it
Whom Yong-Yeol Ahn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Aaron Clauset
- Santo Fortunato
- Albert-László Barabási
- Michelle Girvan
- Duncan J. Watts
- Jure Leskovec
- Leon Danon
- Marta Sales-Pardo
- Cristopher Moore
Who trusts Yong-Yeol Ahn overall
- Jaewon Yang
- Jure Leskovec
- Olaf Sporns
- Julian McAuley
- Jierui Xie
- Santo Fortunato
- Prem Gopalan
- Haewoon Kwak
- Alan Mislove
- Lei Tang
Papers from Yong-Yeol Ahn's perspective
Ordered by how strongly the researchers Yong-Yeol Ahn trusts endorse each paper. Same corpus, a different order for every researcher.
- Mixing patterns in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Epidemic spreading in scale-free networks. (Physical Review Letters)
- The Structure and Function of Complex Networks
- Classes of small-world networks. (Proceedings of the National Academy of Sciences of the United States of America)
- Collective dynamics of ‘small-world’ networks
- Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Graph structure in the Web (Comput. Networks)
- Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Emergence of scaling in random networks
- Scale-free topology of e-mail networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
Their papers
- Understanding the Demographics of Twitter Users (2011) — 920 citations
- Link communities reveal multiscale complexity in networks (2009) — 1,946 citations
- Virality Prediction and Community Structure in Social Networks (2013) — 666 citations
- Twitter's Glass Ceiling: The Effect of Perceived Gender on Online Visibility (2016) — 64 citations
- Predicting Anti-Asian Hateful Users on Twitter during COVID-19 (2021) — 32 citations
- Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems (2009) — 509 citations
- Comparison of online social relations in volume vs interaction: a case study of cyworld (2008) — 209 citations
- I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system (2007) — 1,753 citations
- Analysis of topological characteristics of huge online social networking services (2007) — 1,050 citations