Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path | Paper Citation Record

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This paper cites A social network caught in the Web,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path A social network caught in the Web,

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This paper cites Analysis of topological characteristics of huge online social networking services,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Analysis of topological characteristics of huge online social networking services,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Diameter of the World-Wide Web,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The SprayList: a scalable relaxed priority queue,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path How rare are power-law networks really?

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This paper cites Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite,

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This paper cites HipMCL: a high-performance parallel implementation of the Markov clustering algorithm for large-scale networks,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path HipMCL: a high-performance parallel implementation of the Markov clustering algorithm for large-scale networks,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Group formation in large social networks: membership, growth, and evolution,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Emergence of Scaling in Random Networks,

Reference 10

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This paper cites Network biology: understanding the cell’s functional organization,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Network biology: understanding the cell’s functional organization,

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This paper cites The architecture of complex weighted networks,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The architecture of complex weighted networks,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Modeling the evolution of weighted networks,

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This paper cites The GAP Benchmark Suite.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The GAP Benchmark Suite

Reference 14

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path On a routing problem,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Parallel asynchronous label-correcting methods for shortest paths,

Reference 16

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This paper cites Emergence of power law distributions in protein-protein interaction networks through study bias,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Emergence of power law distributions in protein-protein interaction networks through study bias,

Reference 17

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This paper cites Graph structure in the Web,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Graph structure in the Web,

Reference 18

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Observation d5fb49bf-8d73-4f26-bf86-f0132390f6d4 · outbound

This paper cites Scale-free networks are rare,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Scale-free networks are rare,

Reference 19

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This paper cites Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm,

Reference 20

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Observation 09499a81-99c6-4a34-82a1-35e5c5357622 · outbound

This paper cites Casella and R.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Casella and R

Reference 21

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This paper cites R-MAT: A Recursive Model for Graph Mining,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path R-MAT: A Recursive Model for Graph Mining,

Reference 22

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This paper cites One trillion edges: graph processing at Facebook-scale,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path One trillion edges: graph processing at Facebook-scale,

Reference 23

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This paper cites Comparison of online social relations in volume vs interaction: a case study of cyworld,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Comparison of online social relations in volume vs interaction: a case study of cyworld,

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This paper cites Power-law distributions in empirical data.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Power-law distributions in empirical data

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This paper cites Wasp: Efficient Asynchronous Single-Source Shortest Path on Multicore Systems via Work Stealing,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Wasp: Efficient Asynchronous Single-Source Shortest Path on Multicore Systems via Work Stealing,

Reference 26

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This paper cites The university of Florida sparse matrix collection,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The university of Florida sparse matrix collection,

Reference 27

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This paper cites Demetrescu, A.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Demetrescu, A

Reference 28

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The p-Value You Can’t Buy,

Reference 29

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This paper cites Julienne: A Framework for Parallel Graph Algorithms using Work-efficient Bucketing,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Julienne: A Framework for Parallel Graph Algorithms using Work-efficient Bucketing,

Reference 30

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path A note on two problems in connexion with graphs,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Efficient Stepping Algorithms and Implementations for Parallel Shortest Paths,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Parallel Point-to- Point Shortest Paths and Batch Queries,

Reference 34

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Massive Social Network Analysis: Mining Twitter for Social Good,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Efron and R

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Social resilience in online communities: the autopsy of friendster,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Rare and everywhere: Perspectives on scale-free networks,

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This paper cites The large-scale organization of metabolic networks,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The large-scale organization of metabolic networks,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path How Scale-Free Are Biological Networks,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Retrieving Top Weighted Triangles in Graphs,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path What is Twitter, a social network or a news media?

Reference 42

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Graph structure in the web: aggregated by pay-level domain,

Reference 43

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Planetary-scale views on a large instant-messaging network,

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This paper cites Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Research Commentary: Too Big to Fail: Large Samples and the p-Value Problem,

Reference 46

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Quantifying the Effects of Topology and Weight for Link Prediction in Weighted Complex Networks,

Reference 47

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Parallel Shortest Path Algorithms for Solving Large-Scale Instances,

Reference 48

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Graph structure in the web — revisited: a trick of the heavy tail,

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This paper cites The Graph Structure in the Web − Analyzed on Different Aggregation Levels,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The Graph Structure in the Web − Analyzed on Different Aggregation Levels,

Reference 50

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path ∆-stepping: a parallelizable shortest path algorithm,

Reference 51

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Measurement and analysis of online social networks,

Reference 52

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This paper cites The shortest path through a maze,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The shortest path through a maze,

Reference 53

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Introducing the graph 500,

Reference 54

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The structure of scientific collaboration networks,

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This paper cites A lightweight infrastructure for graph analytics,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path A lightweight infrastructure for graph analytics,

Reference 56

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Observation 7f5f2f0c-8b70-49f3-ac8c-15f4dcc8cae5 · outbound

This paper cites Performance Analysis of Single- source Shortest Path Algorithms on Distributed-memory Systems,.

Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Performance Analysis of Single- source Shortest Path Algorithms on Distributed-memory Systems,

Reference 57

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Multi-Queues Can Be State-of-the-Art Priority Schedulers

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Unresolved cited work

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Modeling interactome: scale-free or geometric?

Reference 60

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path MultiQueues: Simple Relaxed Concurrent Priority Queues,

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Ligra: A Lightweight Graph Processing Framework for Shared Memory,

Reference 62

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path MOLIERE: Automatic Biomedical Hypothesis Generation System,

Reference 63

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path ArnetMiner: extraction and mining of academic social networks,

Reference 64

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path A bridging model for parallel computation,

Reference 65

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Scale-free networks well done,

Reference 66

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Parallel Strong Connectivity Based on Faster Reachability,

Reference 67

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Engineering MultiQueues: Fast Relaxed Concurrent Priority Queues,

Reference 68

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path The lock- free k-LSM relaxed priority queue,

Reference 69

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Weighted Evolving Networks,

Reference 70

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Multi Bucket Queues: Efficient Concurrent Priority Scheduling,

Reference 71

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Observation d698c0b6-2c61-41e8-8f77-7e1ac294ce06 · outbound

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Optimizing ordered graph algorithms with GraphIt,

Reference 72

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Available: https://www.sciencedirect.com/science/ article/pii/S0196677403000762

Reference 2003

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Observation baf7d9a4-c869-4e03-898c-13bb3255535e · outbound

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Mind the Gap: The Disconnect Between Synthetic and Natural Edge Weights in Parallel Single-Source Shortest Path Available: https://dl.acm.org/doi/10.1145/3434393

Reference 2021

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