Local graph clustering methods aim to find a cluster of nodes by exploring a small region of the graph. These methods are attractive because they enable targeted clustering around a …
In recent years, significant advances have been made in the design and analysis of fully dynamic algorithms. However, these theoretical results have received very little attention …
Bipartite networks are of great importance in many realworld applications. In bipartite networks, butterfly (ie, a complete 2× 2 biclique) is the smallest non-trivial cohesive structure …
G Lee, J Ko, K Shin - arXiv preprint arXiv:2003.01853, 2020 - arxiv.org
Hypergraphs naturally represent group interactions, which are omnipresent in many domains: collaborations of researchers, co-purchases of items, joint interactions of proteins …
We consider the problem of counting motifs in bipartite affiliation networks, such as author- paper, user-product, and actor-movie relations. We focus on counting the number of …
Pattern counting in graphs is fundamental to several network sci-ence tasks, and there is an abundance of scalable methods for estimating counts of small patterns, often called motifs …
Bipartite graphs are of great importance in many real-world applications. Butterfly, which is a complete 2× 2 biclique, plays a key role in bipartite graphs. In this paper, we investigate the …
How do the k-core structures of real-world graphs look like? What are the common patterns and the anomalies? How can we exploit them for applications? A k-core is the maximal …
Graphs are widely used for representing pairwise interactions in complex systems. Since such real-world graphs are large and often evergrowing, sampling a small representative …