116 citations · 483 across the 23 of their papers we have counts for
5 papers · 1 filter
Fast Unbiased Sampling of Networks with Given Expected Degrees and Strengths
Xuanchi Li, Xin Wang, Sadamori Kojaku
The configuration model is a cornerstone of statistical assessment of network structure. While the Chung-Lu model is among the most widely used configuration models, it systematica…
Uncovering simultaneous breakthroughs with a robust measure of disruptiveness
Munjung Kim, Sadamori Kojaku, Yong-Yeol Ahn
Progress in science and technology is punctuated by disruptive innovation and breakthroughs. Researchers have characterized these disruptions to explore the factors that spark such…
Matrix-weighted networks for modeling multidimensional dynamics
Yu Tian, Sadamori Kojaku, Hiroki Sayama +1
Networks are powerful tools for modeling interactions in complex systems. While traditional networks use scalar edge weights, many real-world systems involve multidimensional inter…
Implicit degree bias in the link prediction task
Rachith Aiyappa, Xin Wang, Munjung Kim +4
Link prediction -- a task of distinguishing actual hidden edges from random unconnected node pairs -- is one of the quintessential tasks in graph machine learning. Despite being wi…
Representing the Disciplinary Structure of Physics: A Comparative Evaluation of Graph and Text Embedding Methods
Isabel Constantino, Sadamori Kojaku, Santo Fortunato +1
Recent advances in machine learning offer new ways to represent and study scholarly works and the space of knowledge. Graph and text embeddings provide a convenient vector represen…