### soc-twitter-follows-mun (Social Networks)

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This network is in the collection of Social Networks

Visualize soc-twitter-follows-mun'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

Short | Twitter online social network |

Description | This dataset is the directed network containing information about who follows whom on Twitter. Nodes represent users and an edge shows that the left user follows the right one. |

#### 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}

}

`@article{de2010does,`

title={How does the data sampling strategy impact the discovery of information diffusion in social media?},

author={De Choudhury, Munmun and Lin, Yu-Ru and Sundaram, Hari and Candan, K Selcuk and Xie, Lexing and Kelliher, Aisling},

journal={ICWSM},

volume={10},

pages={34--41},

year={2010}

}

### Network Statistics

Nodes | 465K |

Edges | 835.4K |

Density | 7.7268e-06 |

Maximum degree | 811 |

Minimum degree | 1 |

Average degree | 3 |

Assortativity | -0.873833 |

Number of triangles | 135.1K |

Average number of triangles | 0 |

Maximum number of triangles | 2.9K |

Average clustering coefficient | 0.0207847 |

Fraction of closed triangles | 0.000713014 |

Maximum k-core | 31 |

Lower bound of Maximum Clique | 6 |

### Data Preview

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

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### Interactive Visualization of Node-level Feature Distributions

#### Node-level Feature Distributions

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