## Importing a Roman Transport network

Use open Roman datasets via and import them into a Netlogo model, using the ORBIS dataset (http://orbis.stanford.edu/) to create a set of Roman settlements and major routes between them.

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A draft model with some useful code for creating different network structures using the Netlogo NW extension: small-world, preferential attachment, circular, star, wheel, lattice, random, nearest neighbours. This model is used for the following tutorial: Brughmans, T. (2018). Network structures a...

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A draft model with some useful code for creating different network structures using the Netlogo NW extension: small-world, preferential attachment, circular, star, wheel, lattice, random, nearest neighbours. This model is used for the following tutorial: Brughmans, T. (2018). Network structures and assembling code in Netlogo, Tutorial, https://archaeologicalnetworks.wordpress.com/resources/#structures .

Name | Type | Description |
---|---|---|

new-network-structure | string | The type of network structure you want to create, either small-world, preferential attachment, circular, star, wheel, lattice, random, nearest neighbours |

nodes | integer | The number of nodes in the network that will be created. |

probability | float | Value between 0 and 1, the probability with which a link will be created in the small-world and random network structures. |

nearest-neighbours | integer | The number of nearest nodes that a node will be connected to in the "nearest neighbours" network structure |

existing-network-structure | string | When keeping the nodes but creating new links between them (same-nodes/new-links), the type of network structure you will follow to create those links. Either nearest neighbour, random, star, circular. |

Name | Type | Description |
---|---|---|

Network topology | network | The set of nodes and links created using the network creation algorithm selected. |

average-degree | float | the average number of links a node has |

clustering-coefficient | float | the proportion of closed triangles over all triads in the network; the degree of local clustering in the network. |

Av. shortest path length | float | the mean path length in the network; the mean number of steps to connect one node with another node |

degree distribution | frequency distribution | The frequency distribution of the number of links a node has (its degree) |

Language

- NetLogo

Modelling

- agent initialisation

Module type

- Submodel

Period

- History
- Prehistory

Programming

- Object-oriented

Region

- Global

Subject

- Networks
- Social networks

Keywords

License

</>Source code

Journal articles

2- 1.Author(s): Tom Brughmans, Jeroen PoblomePublished in Antiquity by Antiquity Publications in 2016, page: 393-40810.15184/aqy.2016.35
- 2.Author(s): Brughmans, Tom and Poblome, JeroenPublished in Journal of Artificial Societies and Social Simulation in 2016, page: http://jasss.soc.surrey.ac.uk/19/1/3.html

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Tom Brughmans

Author, Copyright Holder, Creator

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Use open Roman datasets via and import them into a Netlogo model, using the ORBIS dataset (http://orbis.stanford.edu/) to create a set of Roman settlements and major routes between them.

Updated 17 hours ago

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