4 papers
Declining Modularity of Intellectual Bases During the Emergence of Research Areas
Kazuki Nakajima, Yuya Sasaki, Masaki Aida
Understanding how research areas emerge can help identify nascent areas early and inform research strategy, yet how the intellectual base of a field restructures as an area takes s…
Systemic Gendered Citation Imbalance in Computer Science: Evidence from Conferences and Journals
Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno +1
Gender imbalance persists across science, technology, engineering, and mathematics (STEM) fields, including computer science, where it appears in researcher demographics, productiv…
Learning Multi-Order Block Structure in Higher-Order Networks
Kazuki Nakajima, Yuya Sasaki, Takeaki Uno +1
Higher-order networks, naturally described as hypergraphs, are essential for modeling real-world systems involving interactions among three or more entities. Stochastic block model…
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
Kazuki Nakajima, Takeaki Uno
Hypergraphs represent complex systems involving interactions among more than two entities and allow the investigation of higher-order structure and dynamics in complex systems. Nod…