120 citations · 171 across the 30 of their papers we have counts for
14 papers · 1 filter
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks
Junzhou Zhao, Shuo Shang, Pinghui Wang +2
Identifying influential nodes that can jointly trigger the maximum influence spread in networks is a fundamental problem in many applications such as viral marketing, online advert…
Tracking Triadic Cardinality Distributions for Burst Detection in High-Speed Multigraph Streams
Junzhou Zhao, Pinghui Wang, John C. S. Lui +2
In everyday life, we often observe unusually frequent interactions among people before or during important events, e.g., people send/receive more greetings to/from their friends on…
Sampling Online Social Networks by Random Walk with Indirect Jumps
Junzhou Zhao, Pinghui Wang, John C. S. Lui +2
Random walk-based sampling methods are gaining popularity and importance in characterizing large networks. While powerful, they suffer from the slow mixing problem when the graph i…
Optimizing Node Discovery on Networks: Problem Definitions, Fast Algorithms, and Observations
Junzhou Zhao, Pinghui Wang, John C. S. Lui
Many people dream to become famous, YouTube video makers also wish their videos to have a large audience, and product retailers always hope to expose their products to customers as…
A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs
Pinghui Wang, Xiangliang Zhang, Zhenguo Li +6
Exploring small connected and induced subgraph patterns (CIS patterns, or graphlets) has recently attracted considerable attention. Despite recent efforts on computing the number o…
Moss: A Scalable Tool for Efficiently Sampling and Counting 4- and 5-Node Graphlets
Pinghui Wang, Jing Tao, Junzhou Zhao +1
Counting the frequencies of 3-, 4-, and 5-node undirected motifs (also know as graphlets) is widely used for understanding complex networks such as social and biology networks. How…
Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams
Junzhou Zhao, John C. S. Lui, Don Towsley +2
In everyday life, we often observe unusually frequent interactions among people before or during important events, e.g., we receive/send more greetings from/to our friends on Chris…
Design of Efficient Sampling Methods on Hybrid Social-Affiliation Networks
Junzhou Zhao, John C. S. Lui, Don Towsley +2
Graph sampling via crawling has become increasingly popular and important in the study of measuring various characteristics of large scale complex networks. While powerful, it is k…
Sampling Content Distributed Over Graphs
Pinghui Wang, Junzhou Zhao, John C. S. Lui +2
Despite recent effort to estimate topology characteristics of large graphs (i.e., online social networks and peer-to-peer networks), little attention has been given to develop a fo…
Practical Characterization of Large Networks Using Neighborhood Information
Pinghui Wang, Bruno Ribeiro, Junzhou Zhao +3
Characterizing large online social networks (OSNs) through node querying is a challenging task. OSNs often impose severe constraints on the query rate, hence limiting the sample si…
On Analyzing Estimation Errors due to Constrained Connections in Online Review Systems
Junzhou Zhao
Constrained connection is the phenomenon that a reviewer can only review a subset of products/services due to narrow range of interests or limited attention capacity. In this work,…
Efficiently Estimating Motif Statistics of Large Networks
Pinghui Wang, John C. S. Lui, Bruno Ribeiro +3
Exploring statistics of locally connected subgraph patterns (also known as network motifs) has helped researchers better understand the structure and function of biological and onl…
A Peep on the Interplays between Online Video Websites and Online Social Networks
Junzhou Zhao, Pinghui Wang, Jing Tao +2
Many online video websites provide the shortcut links to facilitate the video sharing to other websites especially to the online social networks (OSNs). Such video sharing behavior…
Social Sensor Placement in Large Scale Networks: A Graph Sampling Perspective
Junzhou Zhao, John C. S. Lui, Don Towsley +2
Sensor placement for the purpose of detecting/tracking news outbreak and preventing rumor spreading is a challenging problem in a large scale online social network (OSN). This prob…