Effective and efficient relational community detection and search in large dynamic heterogeneous information networks
Community search in heterogeneous information networks (HINs) has attracted much
attention in graph analysis. Given a vertex, the goal is to find a densely-connected sub …
attention in graph analysis. Given a vertex, the goal is to find a densely-connected sub …
Understanding bike-sharing mobility patterns in response to the COVID-19 pandemic
J Jia, C Liu, X Wang, H Zhang, Y ** community detection algorithm on GPU
Community detection is one of the most representative graph mining applications, which is
often assembled as a concurrent graph partition application to explore the maximum …
often assembled as a concurrent graph partition application to explore the maximum …
An ensemble framework for community detection
L Duan, M Binbasioglu - Journal of Industrial Information Integration, 2017 - Elsevier
The advances in graphs play an important role to understand interrelated data. Inside
graphs, there are usually community structures where different portion of nodes are more …
graphs, there are usually community structures where different portion of nodes are more …
A new method to identify collaborative partners in social service provider networks
The interactions among service providers are represented as a social network to support
service-oriented collaborations across multiple manufacturing enterprises. The combination …
service-oriented collaborations across multiple manufacturing enterprises. The combination …
Mining the local dependency itemset in a products network
Many studies have been conducted on market basket analysis such as association rules
and dependent patterns. These studies mainly focus on mining all significant patterns or …
and dependent patterns. These studies mainly focus on mining all significant patterns or …