2 citations · 4 across the 4 of their papers we have counts for
4 papers
Modeling Hypergraphs with Diversity and Heterogeneous Popularity
Xianshi Yu, Ji Zhu
While relations among individuals make an important part of data with scientific and business interests, existing statistical modeling of relational data has mainly been focusing o…
Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient
Ting Li, Xianshi Yu, Bing-Yi Jing
In this paper, we propose a novel statistic of networks, the normalized clustering coefficient, which is a modified version of the clustering coefficient that is robust to network…
Semi-supervised learning in unbalanced and heterogeneous networks
Ting Li, Ningchen Ying, Xianshi Yu +1
Community detection was a hot topic on network analysis, where the main aim is to perform unsupervised learning or clustering in networks. Recently, semi-supervised learning has re…
Adaptive Scaling
Ting Li, Bingyi Jing, Ningchen Ying +1
Preprocessing data is an important step before any data analysis. In this paper, we focus on one particular aspect, namely scaling or normalization. We analyze various scaling meth…