Data All networks from networkrepository.com [1] with at most 1M edges (fall 2020). Weights and edge directions have been removed. For graphs with isomorphic largest connected component, only one copy has been kept. This is the raw data necessary to reproduce our experiments in On the External Validity of Average-Case Analyses of Graph Algorithms. [1] Ryan A. Rossi and Nesreen K. Ahmed, The Network Data Repository with Interactive Graph Analytics and Visualization (AAAI 2015
Access to realistic, complex graph datasets is critical to research on social networking systems and...
<p>The number of teams that identify an edge at a specified cutoff is a measure of how easy or diffi...
Most of recent anonymization algorithms for networks are based on edge modification, i.e., adding an...
Data All networks from networkrepository.com [1] with at most 1M edges (fall 2020). Weights and edg...
Here you find supplemental material for our paper On the External Validity of Average-Case Analyse...
Data All networks from networkrepository.com [1] with at most 1M edges (fall 2020) with the followi...
Data All networks from networkrepository.com [1] with at most 1M edges (fall 2020) with the followi...
The number one criticism of average-case analysis is that we do not actually know the probability di...
There is a growing amount of observational data describing networks — exam-ples include social netwo...
Thesis (Ph.D.)--University of Washington, 2021This dissertation represents a series of studies focus...
<p>This archive contains data collected and processed while conducting our survey on graph analysis ...
Many technological, socio-economic, environmental, biomedical phenomena exhibit an underlying graph ...
Sampling is a standard approach in big-graph analytics; the goal is to efficiently estimate the grap...
Nowadays, the analysis of complex phenomena modeled by graphs plays a crucial role in many real-worl...
Contains all data required for reproducing the experiments in Grytten et. al "Assessing graph-based ...
Access to realistic, complex graph datasets is critical to research on social networking systems and...
<p>The number of teams that identify an edge at a specified cutoff is a measure of how easy or diffi...
Most of recent anonymization algorithms for networks are based on edge modification, i.e., adding an...
Data All networks from networkrepository.com [1] with at most 1M edges (fall 2020). Weights and edg...
Here you find supplemental material for our paper On the External Validity of Average-Case Analyse...
Data All networks from networkrepository.com [1] with at most 1M edges (fall 2020) with the followi...
Data All networks from networkrepository.com [1] with at most 1M edges (fall 2020) with the followi...
The number one criticism of average-case analysis is that we do not actually know the probability di...
There is a growing amount of observational data describing networks — exam-ples include social netwo...
Thesis (Ph.D.)--University of Washington, 2021This dissertation represents a series of studies focus...
<p>This archive contains data collected and processed while conducting our survey on graph analysis ...
Many technological, socio-economic, environmental, biomedical phenomena exhibit an underlying graph ...
Sampling is a standard approach in big-graph analytics; the goal is to efficiently estimate the grap...
Nowadays, the analysis of complex phenomena modeled by graphs plays a crucial role in many real-worl...
Contains all data required for reproducing the experiments in Grytten et. al "Assessing graph-based ...
Access to realistic, complex graph datasets is critical to research on social networking systems and...
<p>The number of teams that identify an edge at a specified cutoff is a measure of how easy or diffi...
Most of recent anonymization algorithms for networks are based on edge modification, i.e., adding an...