I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system. - Meeyoung Cha; Haewoon Kwak; Pablo Rodriguez 001; Yong-Yeol Ahn; Sue B. Moon (Internet Measurement Conference, 2007)

Analysis of topological characteristics of huge online social networking services. - Yong-Yeol Ahn; Seungyeop Han; Haewoon Kwak; Sue B. Moon; Hawoong Jeong (WWW, 2007)

Comparison of online social relations in volume vs interaction: a case study of cyworld. - Hyunwoo Chun; Haewoon Kwak; Young-Ho Eom; Yong-Yeol Ahn; Sue B. Moon; Hawoong Jeong (Internet Measurement Conference, 2008)

Analyzing the video popularity characteristics of large-scale user generated content systems. - Meeyoung Cha; Haewoon Kwak; Pablo Rodriguez 001; Yong-Yeol Ahn; Sue B. Moon (IEEE/ACM Trans. Netw., 2009)

Understanding the Demographics of Twitter Users. - Alan Mislove; Sune Lehmann; Yong-Yeol Ahn; Jukka-Pekka Onnela; J. Niels Rosenquist (ICWSM, 2011)

Flavor network and the principles of food pairing - Yong-Yeol Ahn; Sebastian E. Ahnert; James P. Bagrow; Albert-László Barabási (CoRR, 2011)

Topological Cluster Analysis Reveals the Systemic Organization of the Caenorhabditis elegans Connectome. - Yunkyu Sohn; Myung-Kyu Choi; Yong-Yeol Ahn; Junho Lee; Jaeseung Jeong 002 (PLoS Comput. Biol., 2011)

Delayed information cascades in Flickr: Measurement, analysis, and modeling. - Meeyoung Cha; Fabrício Benevenuto; Yong-Yeol Ahn; P. Krishna Gummadi (Comput. Networks, 2012)

Virality Prediction and Community Structure in Social Networks. - Lilian Weng; Filippo Menczer; Yong-Yeol Ahn (CoRR, 2013)

Geography and similarity of regional cuisines in China. - Yu-Xiao Zhu; Junming Huang 001; Zi-Ke Zhang; Qian-Ming Zhang; Tao Zhou 001; Yong-Yeol Ahn (CoRR, 2013)

Overlapping Community Detection in Complex Networks using Symmetric Binary Matrix Factorization - Zhong-Yuan Zhang; Yong Wang; Yong-Yeol Ahn (CoRR, 2013)

Community-Enhanced De-anonymization of Online Social Networks. - Shirin Nilizadeh; Apu Kapadia; Yong-Yeol Ahn (CCS, 2014)

Making Sense out of Food. - Brent Kievit-Kylar; Peter M. Todd; Yong-Yeol Ahn (CogSci, 2014)

Predicting Successful Memes Using Network and Community Structure. - Lilian Weng; Filippo Menczer; Yong-Yeol Ahn (ICWSM, 2014)

Tie Strength Distribution in Scientific Collaboration Networks. - Qing Ke; Yong-Yeol Ahn (CoRR, 2014)

Optimal network clustering for information diffusion. - Azadeh Nematzadeh; Emilio Ferrara; Alessandro Flammini; Yong-Yeol Ahn (CoRR, 2014)

Characterizing Conversation Patterns in Reddit: From the Perspectives of Content Properties and User Participation Behaviors. - Daejin Choi; Jinyoung Han; Taejoong Chung; Yong-Yeol Ahn; Byung-Gon Chun; Ted Taekyoung Kwon (COSN, 2015)

Collective dynamics of belief evolution under cognitive coherence and social conformity. - Nathaniel Rodriguez; Johan Bollen; Yong-Yeol Ahn (CoRR, 2015)

Community detection in bipartite networks using weighted symmetric binary matrix factorization. - Zhong-Yuan Zhang; Yong-Yeol Ahn (CoRR, 2015)

Quantifying socio-economic indicators in developing countries from mobile phone communication data: applications to Côte d'Ivoire. - Huina Mao; Xin Shuai; Yong-Yeol Ahn; Johan Bollen (EPJ Data Sci., 2015)

Optimizing drug-target interaction prediction based on random walk on heterogeneous networks. - Abhik Seal; Yong-Yeol Ahn; David J. Wild 001 (J. Cheminformatics, 2015)

Robustness and modular structure in networks. - James P. Bagrow; Sune Lehmann; Yong-Yeol Ahn (Netw. Sci., 2015)

Twitter's Glass Ceiling: The Effect of Perceived Gender on Online Visibility. - Shirin Nilizadeh; Anne Groggel; Peter Lista; Srijita Das 001; Yong-Yeol Ahn; Apu Kapadia; Fabio Rojas (ICWSM, 2016)

The Multi-Scale Network Landscape of Collaboration. - Arram Bae; Doheum Park; Yong-Yeol Ahn; Juyong Park (CoRR, 2016)

A Systematic Identification and Analysis of Scientists on Twitter. - Qing Ke; Yong-Yeol Ahn; Cassidy R. Sugimoto (CoRR, 2016)

Link community detection through global optimization and the inverse resolution limit of partition density. - Juyong Lee; Zhong-Yuan Zhang; Jooyoung Lee 002; Bernard R. Brooks; Yong-Yeol Ahn (CoRR, 2016)

Gendered Conversation in a Social Game-Streaming Platform. - Supun Nakandala; Giovanni Luca Ciampaglia; Norman Makoto Su; Yong-Yeol Ahn (CoRR, 2016)

Information Overload in Group Communication: From Conversation to Cacophony in the Twitch Chat. - Azadeh Nematzadeh; Giovanni Luca Ciampaglia; Yong-Yeol Ahn; Alessandro Flammini (CoRR, 2016)

Social contagions on weighted networks. - Yu-Xiao Zhu; Wei Wang 070; Ming Tang 004; Yong-Yeol Ahn (CoRR, 2016)

On comparing clusterings: an element-centric framework unifies overlaps and hierarchy. - Alexander J. Gates; Ian B. Wood; William P. Hetrick; Yong-Yeol Ahn (CoRR, 2017)

The Minor Fall, the Major Lift: Inferring Emotional Valence of Musical Chords through Lyrics. - Artemy Kolchinsky; Nakul Dhande; Kengjeun Park; Yong-Yeol Ahn (CoRR, 2017)

Optimal modularity and memory capacity of neural networks. - Nathaniel Rodriguez; Eduardo Izquierdo 001; Yong-Yeol Ahn (CoRR, 2017)

Data-driven Methods for the Study of Food Perception, Preparation, Consumption, and Culture. - Ole G. Mouritsen; Rachel Edwards-Stuart; Yong-Yeol Ahn; Sebastian E. Ahnert (Frontiers ICT, 2017)

The Impact of Random Models on Clustering Similarity. - Alexander J. Gates; Yong-Yeol Ahn (J. Mach. Learn. Res., 2017)

SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment. - Jisun An; Haewoon Kwak; Yong-Yeol Ahn (ACL (1), 2018)

Spreading in Social Systems: Reflections. - Sune Lehmann; Yong-Yeol Ahn (CoRR, 2018)

Optimal modularity in complex contagion. - Azadeh Nematzadeh; Nathaniel Rodriguez; Alessandro Flammini; Yong-Yeol Ahn (CoRR, 2018)

Evolution of the Informational Complexity of Contemporary Western Music. - Thomas Parmer; Yong-Yeol Ahn (ISMIR, 2019)

Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem. - Jim Blythe; John Bollenbacher; Di Huang; Pik-Mai Hui; Rachel Krohn; Diogo Pacheco; Goran Muric; Anna Sapienza; Alexey Tregubov; Yong-Yeol Ahn; Alessandro Flammini; Kristina Lerman; et al. (PAAMS, 2019)

Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters in the world economy. - Jaehyuk Park; Ian B. Wood; Elise Jing; Azadeh Nematzadeh; Souvik Ghosh; Michael D. Conover; Yong-Yeol Ahn (CoRR, 2019)

Sameness Attracts, Novelty Disturbs, but Outliers Flourish in Fanfiction Online. - Elise Jing; Simon DeDeo; Yong-Yeol Ahn (CoRR, 2019)

CluSim: a python package for calculating clustering similarity. - Alexander J. Gates; Yong-Yeol Ahn (J. Open Source Softw., 2019)

A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017. - Haewoon Kwak; Jisun An; Yong-Yeol Ahn (WebSci, 2020)

Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations. - Hao Peng 006; Qing Ke; Ceren Budak; Daniel M. Romero; Yong-Yeol Ahn (CoRR, 2020)

Extracting hierarchical backbones from bipartite networks. - Woo Seong Jo; Jaehyuk Park; Arthur Luhur; Beom Jun Kim; Yong-Yeol Ahn (CoRR, 2020)

FrameAxis: Characterizing Framing Bias and Intensity with Word Embedding. - Haewoon Kwak; Jisun An; Yong-Yeol Ahn (CoRR, 2020)

Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data. - Ana I. Bento; Thuy Nguyen; Coady Wing; Felipe Lozano-Rojas; Yong-Yeol Ahn; Kosali Simon (CoRR, 2020)

Defining and identifying the optimal embedding dimension of networks. - Weiwei Gu; Aditya Tandon; Yong-Yeol Ahn; Filippo Radicchi (CoRR, 2020)

Unsupervised embedding of trajectories captures the latent structure of mobility. - Dakota S. Murray; Jisung Yoon; Sadamori Kojaku; Rodrigo Costas 001; Woo-Sung Jung; Stasa Milojevic; Yong-Yeol Ahn (CoRR, 2020)

Co-contributorship network and division of labor in individual scientific collaborations. - Chao Lu 010; Yingyi Zhang; Yong-Yeol Ahn; Ying Ding 001; Chenwei Zhang; Dandan Ma (J. Assoc. Inf. Sci. Technol., 2020)

BiRank: Fast and Flexible Ranking on Bipartite Networks with R and Python. - Kai-Cheng Yang; Brian Aronson; Yong-Yeol Ahn (J. Open Source Softw., 2020)

Predicting Anti-Asian Hateful Users on Twitter during COVID-19. - Jisun An; Haewoon Kwak; Claire Seungeun Lee; Bogang Jun; Yong-Yeol Ahn (EMNLP (Findings), 2021)

Residual2Vec: Debiasing graph embedding with random graphs. - Sadamori Kojaku; Jisung Yoon; Isabel Constantino; Yong-Yeol Ahn (NeurIPS, 2021)

On the challenges of predicting microscopic dynamics of online conversations. - John Bollenbacher; Diogo Pacheco; Pik-Mai Hui; Yong-Yeol Ahn; Alessandro Flammini; Filippo Menczer (Appl. Netw. Sci., 2021)

People, Places, and Ties: Landscape of social places and their social network structures. - Jaehyuk Park; Bogdan State; Monica Bhole; Michael C. Bailey; Yong-Yeol Ahn (CoRR, 2021)

Characterizing Partisan Political Narratives about COVID-19 on Twitter. - Elise Jing; Yong-Yeol Ahn (CoRR, 2021)

The latent structure of national scientific development. - Lili Miao; Dakota S. Murray; Woo-Sung Jung; Vincent Larivière; Cassidy R. Sugimoto; Yong-Yeol Ahn (CoRR, 2021)

Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic. - Karandeep Singh; Gabriel Lima; Meeyoung Cha; Chiyoung Cha; Juhi Kulshrestha; Yong-Yeol Ahn; Onur Varol (CoRR, 2021)

Characterizing partisan political narrative frameworks about COVID-19 on Twitter. - Elise Jing; Yong-Yeol Ahn (EPJ Data Sci., 2021)

FrameAxis: characterizing microframe bias and intensity with word embedding. - Haewoon Kwak; Jisun An; Elise Jing; Yong-Yeol Ahn (PeerJ Comput. Sci., 2021)

Persona2vec: a flexible multi-role representations learning framework for graphs. - Jisung Yoon; Kai-Cheng Yang; Woo-Sung Jung; Yong-Yeol Ahn (PeerJ Comput. Sci., 2021)

The Impact of Viral Posts on Visibility and Behavior of Professionals: A Longitudinal Study of Scientists on Twitter. - Rakibul Hasan 001; Cristobal Cheyre; Yong-Yeol Ahn; Roberto Hoyle; Apu Kapadia (ICWSM, 2022)

Network cards: concise, readable summaries of network data. - James P. Bagrow; Yong-Yeol Ahn (Appl. Netw. Sci., 2022)

Metrics and mechanisms: Measuring the unmeasurable in the science of science. - Lingfei Wu 002; Aniket Kittur; Hyejin Youn; Stasa Milojevic; Erin Leahey; Stephen M. Fiore; Yong-Yeol Ahn (J. Informetrics, 2022)

Unique in What Sense? Heterogeneous Relationships between Multiple Types of Uniqueness and Popularity in Music. - Yulin Yu; Pui Yin Cheung; Yong-Yeol Ahn; Paramveer S. Dhillon (ICWSM, 2023)

Weighted Belief Networks Unify Simple and Complex Contagion Dynamics. - Rachith Aiyappa; Alessandro Flammini; Yong-Yeol Ahn (CoRR, 2023)

Can we trust the evaluation on ChatGPT? - Rachith Aiyappa; Jisun An; Haewoon Kwak; Yong-Yeol Ahn (CoRR, 2023)

Network community detection via neural embeddings. - Sadamori Kojaku; Filippo Radicchi; Yong-Yeol Ahn; Santo Fortunato (CoRR, 2023)

Discovering collective narratives shifts in online discussions. - Wanying Zhao; Fiona Guo; Kristina Lerman; Yong-Yeol Ahn (CoRR, 2023)

AI exposure predicts unemployment risk. - Morgan R. Frank; Yong-Yeol Ahn; Esteban Moro (CoRR, 2023)

Cooperation and interdependence in global science funding. - Lili Miao; Vincent Larivière; Feifei Wang; Yong-Yeol Ahn; Cassidy R. Sugimoto (CoRR, 2023)

Addressing the harms of AI-generated inauthentic content. - Filippo Menczer; David J. Crandall; Yong-Yeol Ahn; Apu Kapadia (Nat. Mac. Intell., 2023)

Discovering Collective Narratives Shifts in Online Discussions. - Wanying Zhao; Siyi Guo; Kristina Lerman; Yong-Yeol Ahn (ICWSM, 2024)

Labor Space: A Unifying Representation of the Labor Market via Large Language Models. - Seongwoon Kim; Yong-Yeol Ahn; Jaehyuk Park (WWW, 2024)

Modeling the amplification of epidemic spread by misinformed populations. - Matthew R. DeVerna; Francesco Pierri 002; Yong-Yeol Ahn; Santo Fortunato; Alessandro Flammini; Filippo Menczer (CoRR, 2024)

Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance. - Rachith Aiyappa; Shruthi Senthilmani; Jisun An; Haewoon Kwak; Yong-Yeol Ahn (CoRR, 2024)

Implicit degree bias in the link prediction task. - Rachith Aiyappa; Xin Wang; Munjung Kim; Ozgur Can Seckin; Jisung Yoon; Yong-Yeol Ahn; Sadamori Kojaku (CoRR, 2024)

Neural embedding of beliefs reveals the role of relative dissonance in human decision-making. - Byunghwee Lee; Rachith Aiyappa; Yong-Yeol Ahn; Haewoon Kwak; Jisun An (CoRR, 2024)

Persistent Hierarchy in Contemporary International Collaboration. - Lili Miao; Vincent Larivière; Byungkyu Lee; Yong-Yeol Ahn; Cassidy R. Sugimoto (CoRR, 2024)

Representing the disciplinary structure of physics: A comparative evaluation of graph and text embedding methods. - Isabel Constantino; Sadamori Kojaku; Santo Fortunato; Yong-Yeol Ahn (Quant. Sci. Stud., 2025)

Community-centric modeling of citation dynamics explains collective citation patterns in science, law, and patents. - Sadamori Kojaku; Robert Mahari; Sandro Claudio Lera; Esteban Moro; Alex Pentland; Yong-Yeol Ahn (CoRR, 2025)

Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic. - Zhuoren Jiang; Xiaozhong Liu; Yangyang Kang; Changlong Sun; Yong-Yeol Ahn; Johan Bollen (CoRR, 2025)

Uncovering simultaneous breakthroughs with a robust measure of disruptiveness. - Munjung Kim; Sadamori Kojaku; Yong-Yeol Ahn (CoRR, 2025)

Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space. - Guangyuan Weng; Minsuk Kim; Yong-Yeol Ahn; Esteban Moro (CoRR, 2025)

The Potential Impact of Disruptive AI Innovations on U.S. Occupations. - Munjung Kim; Marios Constantinides; Sanja Scepanovic; Yong-Yeol Ahn; Daniele Quercia (CoRR, 2025)