### c-big (Miscellaneous Networks)

#### Download network data

This network is in the collection of Miscellaneous Networks

Visualize c-big's link structure and discover valuable insights using our interactive graph visualization platform. Compare with hundreds of other networks across many different collections and types.

### Metadata

Tags | |

Author | IBM |

Date | 2006 |

Edge weights | Weighted |

Metadata | optimization problem |

Description | IBM TJ Watson, non-linear optimization |

#### Citing the repository in published materials

If you find Network Repository useful for your research, please consider citing the following paper:

Note that if you transform/preprocess this data for your own research, we ask that you please share the data by uploading it along with details on the transformation and reference to any published materials.

`@inproceedings{nr,`

title={The Network Data Repository with Interactive Graph Analytics and Visualization},

author={Ryan A. Rossi and Nesreen K. Ahmed},

booktitle={Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},

url={http://networkrepository.com},

year={2015}

}

### Network Statistics

Nodes | 345.2K |

Edges | 997.9K |

Density | 1.67443e-05 |

Maximum degree | 19.6K |

Minimum degree | 1 |

Average degree | 5 |

Assortativity | -0.0113683 |

Number of triangles | 0 |

Average number of triangles | 0 |

Maximum number of triangles | 0 |

Average clustering coefficient | 0 |

Fraction of closed triangles | 0 |

Maximum k-core | 19 |

Lower bound of Maximum Clique | 2 |

### Data Preview

### Interactive visualization of c-big's graph structure

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### Interactive Visualization of Node-level Properties and Statistics

#### Tools for Interactive Exploration of Node-level Statistics

**Visualize and interactively explore c-big and its important node-level statistics!**

- Each point represents a node (vertex) in the graph.
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*hold down the left mouse button while dragging the mouse in any direction*until the nodes of interest are highlighted.This feature allows users to explore and analyze various subsets of nodes and their important interesting statistics and properties to gain insights into the graph data - Zoom in/out on the visualization you created at any point by using the buttons below on the left.
- Once a subset of interesting nodes are selected, the user may further analyze by selecting and drilling down on any of the interesting properties using the left menu below.
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### Interactive Visualization of Node-level Feature Distributions

#### Node-level Feature Distributions

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