skip to main content
Bibliometrics
Skip Table Of Content Section
research-article
GraphZeppelin: How to Find Connected Components (Even When Graphs Are Dense, Dynamic, and Massive)
Article No.: 9, Pages 1–31https://doi.org/10.1145/3643846

Finding the connected components of a graph is a fundamental problem with uses throughout computer science and engineering. The task of computing connected components becomes more difficult when graphs are very large, or when they are dynamic, meaning the ...

research-article
A Family of Centrality Measures for Graph Data Based on Subgraphs
Article No.: 10, Pages 1–45https://doi.org/10.1145/3649134

We present the theoretical foundations and first experimental study of a new approach in centrality measures for graph data. The main principle is straightforward: the more relevant subgraphs around a vertex, the more central it is in the network. We ...

research-article
Open Access
Automated Category Tree Construction: Hardness Bounds and Algorithms
Article No.: 11, Pages 1–32https://doi.org/10.1145/3664283

Category trees, or taxonomies, are rooted trees where each node, called a category, corresponds to a set of related items. The construction of taxonomies has been studied in various domains, including e-commerce, document management, and question ...

Subjects

Comments