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The small-world phenomenon: an algorithmic perspective
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
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Stochastic models for the Web graph
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Graph mining: Laws, generators, and algorithms
ACM Computing Surveys (CSUR)
Linked decompositions of networks and the power of choice in Polya urns
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Approximate clustering without the approximation
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Is a friend a friend?: investigating the structure of friendship networks in virtual worlds
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Kronecker Graphs: An Approach to Modeling Networks
The Journal of Machine Learning Research
Measurement-calibrated graph models for social network experiments
Proceedings of the 19th international conference on World wide web
Local graph sparsification for scalable clustering
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
On the hardness of optimization in power law graphs
COCOON'07 Proceedings of the 13th annual international conference on Computing and Combinatorics
Subgraph frequencies: mapping the empirical and extremal geography of large graph collections
Proceedings of the 22nd international conference on World Wide Web
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High triangle density -- the graph property stating that a constant fraction of two-hop paths belong to a triangle -- is a common signature of social networks. This paper studies triangle-dense graphs from a structural perspective. We prove constructively that significant portions of a triangle-dense graph are contained in a disjoint union of dense, radius 2 subgraphs. This result quantifies the extent to which triangle-dense graphs resemble unions of cliques. We also show that our algorithm recovers planted clusterings in approximation-stable k-median instances.