Publications
Peer-reviewed papers by the lab and by Sadamori Kojaku before the lab started (2023). Bold marks Sadamori Kojaku; underline marks a lab student.
2026
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Munjung Kim, Sadamori Kojaku, Yong-Yeol Ahn. “Uncovering simultaneous breakthroughs with a robust measure of disruptiveness.” Science Advances.
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Sadamori Kojaku, Robert Mahari, Sandro Claudio Lera, Esteban Moro, Alex Pentland, Yong-Yeol Ahn. “Community-centric modeling of citation dynamics explains collective citation patterns in science, law, and patents.” Nature Communications.
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Filipi N. Silva, Sadamori Kojaku, Alessandro Flammini, Filippo Radicchi, Santo Fortunato. “Scale invariance and statistical significance in complex weighted networks.” Physical Review E 113, 034310.
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Filippo Radicchi, Filipi N. Silva, Alessandro Flammini, Santo Fortunato, Sadamori Kojaku. “Detectability threshold in weighted modular networks.” Physical Review E 113, 014318.
2025
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Attila Varga, Sadamori Kojaku, Filipi Silva. “Measuring Research Interest Similarity with Transition Probabilities.” Quantitative Science Studies, 1–40.
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Isabel Constantino, Sadamori Kojaku, Santo Fortunato, Yong-Yeol Ahn. “Representing the Disciplinary Structure of Physics: A Comparative Evaluation of Graph and Text Embedding Methods.” Quantitative Science Studies 6, 263–280.
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Yu Tian, Sadamori Kojaku, Hiroki Sayama, Renaud Lambiotte. “Matrix-Weighted Networks for Modeling Multidimensional Dynamics: Theoretical Foundations and Applications to Network Coherence.” Physical Review Letters 134(23), 237401.
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Xuanchi Li, Xin Wang, Sadamori Kojaku. “Fast Unbiased Sampling of Networks with Given Expected Degrees and Strengths.” *Proceedings Complex Networks and their Applications 2025*. -
Yeunkyung Cho, Sarah Escotto-Rodríguez, Sadamori Kojaku. “Emotion contagion through emotion management.” *Proceedings Complex Networks and their Applications 2025*. -
Xin Wang, Stephanie Tulk Jesso, Sadamori Kojaku, David M Neyens, Min Sun Kim. “VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication.” Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1–10.
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Rachith Aiyappa, Xin Wang, Munjung Kim, Ozgur Can Seckin, Yong-Yeol Ahn, Sadamori Kojaku. “Implicit degree bias in the link prediction task.” Forty-second International Conference on Machine Learning.
- Artin Tonekaboni, Xin Wang, Sadamori Kojaku, Luis M Rocha. “BingAster at #SMM4H-HeaRD 2025: Identifying Dementia Caregivers on Twitter Using Prompt-Based LLMs and Cognitive Distortion Patterns.” **.
2024
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Sadamori Kojaku, Filippo Radicchi, Yong-Yeol Ahn, Santo Fortunato. “Network community detection via neural embeddings.” Nature Communications 15(1), 9446.
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Bianka Kovács, Sadamori Kojaku, Gergely Palla, Santo Fortunato. “Iterative embedding and reweighting of complex networks reveals community structure.” Scientific Reports, 17184.
2023
- Dakota Murray, Jisung Yoon, Sadamori Kojaku, Rodrigo Costas, Woo-Sung Jung, Staša Milojević, Yong-Yeol Ahn. “Unsupervised embedding of trajectories captures the latent structure of mobility.” PNAS.
2021
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Sadamori Kojaku, Giacomo Livan, Naoki Masuda. “Detecting anomalous citation groups in journal networks.” Scientific Reports 11, 14524.
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Sadamori Kojaku, Laurent Hébert-Dufresne, Enys Mones, Sune Lehmann, Yong-Yeol Ahn. “The effectiveness of backward contact tracing in networks.” Nature Physics, 1745-2481.
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Sadamori Kojaku. “New developments in network science through embedding methods. Special Issue ``Frontiers of Complex Network Research’’.” Journal of the Society of Instrument and Control Engineers 65(5), 185-191.
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Sadamori Kojaku, Jisung Yoon, Isabel Constantino, Yong-Yeol Ahn. “Residual2Vec: Debiasing graph embedding with random graphs.” NeurIPS (Acceptance rate 26%).
2019
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Sadamori Kojaku, Naoki Masuda. “Constructing networks by filtering correlation matrices: A null model approach.” Proceedings of the Royal Society A 475, 2231.
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Sadamori Kojaku, Mengqiao Xu, Haoxiang Xia, Naoki Masuda. “Multiscale core-periphery structure in a global liner shipping network.” Scientific Reports 9, 404.
2018
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Sadamori Kojaku, Giulio Cimini, Guido Caldarelli, Naoki Masuda. “Structural changes in the interbank market across the financial crisis from multiple core-periphery analysis.” Journal of Network Theory in Finance 4, 33-51.
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Naoki Masuda, Sadamori Kojaku, Yukie Sano. “A configuration model for correlation matrices.” Physical Review E 98, 012312.
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Sadamori Kojaku, Naoki Masuda. “A generalised significance test for individual communities in networks.” Scientific Reports 8, 7351.
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Sadamori Kojaku, Naoki Masuda. “Core-periphery structure requires something else in the network.” New Journal of Physics 20, 043012.
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Xia Cui, Sadamori Kojaku, Naoki Masuda, Danushka Bollegala. “Solving feature spareness in text classification using core-periphery decomposition.” Proceedings of the 7th Joint Conference on Lexical and Computational Semantics, 225-264.
2017
- Sadamori Kojaku, Naoki Masuda. “Finding multiple core-periphery pairs in networks.” Physical Review E 96, 052313.
2016
- Sadamori Kojaku, Ichigaku Takigawa, Mineichi Kudo, Hideyuki Imai. “Dense core model for cohesive subgraph discovery.” Social Networks 44, 143-152.
2015
- Sadamori Koujaku, Mineichi Kudo, Ichigaku Takigawa, Hideyuki Imai. “Community change detection in dynamic networks in noisy environment.” The 24th International Conference on World Wide Web.
2013
- Sadamori Koujaku, Mineichi Kudo, Ichigaku Takigawa, Hideyuki Imai. “Structural change point detection for social networks.” The World Congress on Engineering.
2012
- Sadamori Kojaku, Kota Watanabe, Hajime Igarashi. “Rational Forgettable Profit Sharing Reinforcement Learning.” IEEJ 3, 448-454 (Original in Japanese).
2011
- Sadamori Koujaku, Kota Watanabe, Hajime Igarashi. “Adaptive profit sharing reinforcement learning for dynamic environment.” 10th International Conference on Machine Learning and Applications and Workshops (Listed under journal papers in original CV).