Identifying aggregates in hypertext structures
HYPERTEXT '91 Proceedings of the third annual ACM conference on Hypertext
Cluster analysis for hypertext systems
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Journal of the ACM (JACM)
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A simple and fast min-cut algorithm
FCT'05 Proceedings of the 15th international conference on Fundamentals of Computation Theory
Subdivision Drawings of Hypergraphs
Graph Drawing
On planar supports for hypergraphs
GD'09 Proceedings of the 17th international conference on Graph Drawing
Detecting overlapping communities in folksonomies
Proceedings of the 23rd ACM conference on Hypertext and social media
Hi-index | 0.00 |
In this paper we define a type of cohesive subgroups - called communities - in hypergraphs, based on the edge connectivity of subhypergraphs. We describe a simple algorithm for the construction of these sets and show, based on examples from image segmentation and information retrieval, that these groups may be useful for the analysis and accessibility of large graphs and hypergraphs.