375 citations · 532 across the 28 of their papers we have counts for
9 papers · 1 filter
A Degree Based Approximation of an SIR Model with Contact Tracing and Isolation
Duan-Shin Lee, Ting-Zhe Liu, Ruhui Zhang +1
In this paper we study a susceptible infectious recovered (SIR) model with asymptomatic patients, contact tracing and isolation on a configuration network. Using degree based appro…
A generalized configuration model with triadic closure
Ruhui Chang, Duan-Shin Lee, Cheng-Shang Chang
In this paper we present a generalized configuration model with random triadic closure (GCTC). This model possesses five fundamental properties: large clustering coefficient, power…
Generalized Modularity Embedding: a General Framework for Network Embedding
Cheng-Shang Chang, Ching-Chu Huang, Chia-Tai Chang +2
The network embedding problem aims to map nodes that are similar to each other to vectors in a Euclidean space that are close to each other. Like centrality analysis (ranking) and…
Percolation Threshold for Competitive Influence in Random Networks
Yu-Hsien Peng, Ping-En Lu, Cheng-Shang Chang +1
In this paper, we propose a new averaging model for modeling the competitive influence of candidates among voters in an election process. For such an influence propagation…
Exponentially Twisted Sampling: a Unified Approach for Centrality Analysis in Attributed Networks
Cheng-Hsun Chang, Cheng-Shang Chang
In our recent works, we developed a probabilistic framework for structural analysis in undirected networks and directed networks. The key idea of that framework is to sample a netw…
A Unified Framework for Sampling, Clustering and Embedding Data Points in Semi-Metric Spaces
Chia-Tai Chang, Cheng-Shang Chang
In this paper, we propose a unified framework for sampling, clustering and embedding data points in semi-metric spaces. For a set of data points in a…
Community Detection in Signed Networks: an Error-Correcting Code Approach
Cheng-Shang Chang, Duan-Shin Lee, Li-Heng Liou +1
In this paper, we consider the community detection problem in signed networks, where there are two types of edges: positive edges (friends) and negative edges (enemies). One renown…
Temporal Matrix Factorization for Tracking Concept Drift in Individual User Preferences
Yung-Yin Lo, Wanjiun Liao, Cheng-Shang Chang
The matrix factorization (MF) technique has been widely adopted for solving the rating prediction problem in recommender systems. The MF technique utilizes the latent factor model…
A Probabilistic Framework for Structural Analysis in Directed Networks
Cheng-Shang Chang, Duan-Shin Lee, Li-Heng Liou +2
In our recent works, we developed a probabilistic framework for structural analysis in undirected networks. The key idea of that framework is to sample a network by a symmetric biv…