1 citations · 1 across the 4 of their papers we have counts for
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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…