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Dense Subgraphs on Dynamic Networks

Dense Subgraphs on Dynamic Networks

Dense Subgraphs on Dynamic Networks. Atish Das Sarma Ashwin Lall Danupon Nanongkai Amitabh Trehan (Presented by Anisur Molla ). Density. Network density is probably the most fundamental network metric for understanding how networks tick . . Third Degree Centrality (blog), June 16, 2011.

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667 views • 54 slides
3-HOP:A High-Compression Indexing Scheme for Reachability Query

3-HOP:A High-Compression Indexing Scheme for Reachability Query

3-HOP:A High-Compression Indexing Scheme for Reachability Query. Yang Xiang Kent State University Joint work with Ruoming Jin (KSU), Ning Ruan (KSU), and Dave Fuhry (KSU). Reachability Query. The problem : Given two vertices u and v in

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422 views • 28 slides
Greedy Approximation Algorithms for finding Dense Components in a Graph

Greedy Approximation Algorithms for finding Dense Components in a Graph

Greedy Approximation Algorithms for finding Dense Components in a Graph. Paper by Moses Charikar. Presentation by Paul Horn. Overview. Differing definitions of density The problem Undirected Case Linear Programming Network Flows Approximation Directed Case Linear Programming

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588 views • 18 slides
Feature Matching

Feature Matching

Feature Matching. Longin Jan Latecki. Matching example. Observe that some features may be missing due to instability of feature detector, view change, or occlusion. Matching as dense subgraph in association graph.

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303 views • 15 slides
Maintaining Large Dense Subgraphs on Dynamic Networks

Maintaining Large Dense Subgraphs on Dynamic Networks

Maintaining Large Dense Subgraphs on Dynamic Networks. Atish Das Sarma Ashwin Lall Danupon Nanangkoi Amitabh Trehan. Density. Network density is probably the most fundamental network metric for understanding how networks tick. Third Degree Centrality (blog), June 16, 2011. Sparse but Dense.

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316 views • 15 slides

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