wdnet-package: wdnet: Weighted and Directed Networks

In wdnet: Weighted and Directed Networks

wdnet: Weighted and Directed Networks

Description

This package provides functions to conduct network analysis

• Assortativity, centrality, clustering coefficient for weighted and directed networks

• Rewire an unweighted network with given assortativity coefficient(s)

• Preferential attachment (PA) network generation

wdnet networks

wdnet networks have a class wdnet. It is a list containing the following components:

• A logical value directed indicating if the network is directed.

• A logical value weighted indicating if the network is weighted.

• A two-column matrix edgelist representing the edges.

• A data frame node.attr that includes node attributes, such as node strengths.

• A data frame edge.attr that includes edge attributes, such as edge weights.

Creating a wdnet Object

• To generate a preferential attachment (PA) network, use rpanet().

• To create a wdnet object from an edge list and edge weights, use edgelist_to_wdnet().

• To create a wdnet object from an adjacency matrix, use adj_to_wdnet().

• To convert an igraph object to a wdnet object, use igraph_to_wdnet().

Further information

The development version of this package is available on Gitlab (https://gitlab.com/wdnetwork/wdnet).

Author(s)

Maintainer: Yelie Yuan [e-mail]

Authors:

• Tiandong Wang [e-mail]

• Jun Yan [e-mail]

• Panpan Zhang [e-mail]

See Also

Useful links:

• https://gitlab.com/wdnetwork/wdnet

• Report bugs at https://gitlab.com/wdnetwork/wdnet/-/issues

wdnet documentation built on May 29, 2024, 9:32 a.m.