1 citations · 1 across the 4 of their papers we have counts for
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…
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…
Network Prebunking Problem: Optimizing Prebunking Targets to Suppress the Spread of Misinformation in Social Networks
Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama +1
As a countermeasure against misinformation that undermines the healthy use of social media, a preventive intervention known as \textit{prebunking} has recently attracted attention…
Sampling nodes and hyperedges via random walks on large hypergraphs
Kazuki Nakajima, Masanao Kodakari, Masaki Aida
Hypergraphs provide a fundamental framework for representing complex systems involving interactions among three or more entities. As empirical hypergraphs grow in size, characteriz…