manynet1.3.2 package

Many Ways to Make, Modify, Map, Mark, and Measure Myriad Networks

data_overview

Obtain overview of available network data

defunct

Functions that have been renamed, superseded, or are no longer working

depth_first_recursive_search

Layouts for snapping layouts to a grid

glossary

Adding network glossary items

ison_marvel

Multilevel two-mode affiliation, signed one-mode networks of Marvel co...

make_cran

Making networks of package dependencies

make_create

Making networks with defined structures

make_ego

Making ego networks through interviewing

make_explicit

Making networks with explicit ties

make_learning

Making learning models on networks

make_motifs

Making motifs

make_play

Making diffusion models on networks

make_random

Making unconditional and conditional random networks

make_read

Making networks from external files

make_stochastic

Making networks with a stochastic element

make_write

Making networks to external files

manip_as

Modifying network classes

manip_correlation

Node correlation

manip_deformat

Modifying network formats

manip_from

Joining lists of networks, graphs, and matrices

manip_levels

Modifying network levels

manip_miss

Modifying missing tie data

manip_net

Modifying network data

manip_nodes

Modifying node data

manip_paths

Modifying networks paths

manip_permutation

Network permutation

manip_preformat

Modifying network formats

manip_project

Modifying networks projection

manip_reformat

Modifying network formats

manip_scope

Modifying networks scope

manip_split

Splitting networks into lists

manip_ties

Modifying tie data

map_graphr

Easily graph networks with sensible defaults

map_graphs

Easily graph a set of networks with sensible defaults

map_grapht

Easily animate dynamic networks with sensible defaults

map_layout_configuration

Layout algorithms based on configurational positions

map_layout_partition

Layout algorithms based on bi- or other partitions

map_palettes

Many palettes generator

map_scales

Many scales

map_themes

Many themes

mark_core

Core-periphery clustering algorithms

mark_diff

Marking nodes based on diffusion properties

mark_features

Marking networks features

mark_format

Marking networks formats

mark_is

Marking networks classes

mark_nodes

Marking nodes based on structural properties

mark_select

Marking nodes for selection based on measures

mark_tie_select

Marking ties for selection based on measures

mark_ties

Marking ties based on structural properties

mark_triangles

Marking ties based on structural properties

measure_attributes

Describing attributes of nodes or ties in a network

measure_central_between

Measures of betweenness-like centrality and centralisation

measure_central_close

Measures of closeness-like centrality and centralisation

measure_central_degree

Measures of degree-like centrality and centralisation

measure_central_eigen

Measures of eigenvector-like centrality and centralisation

measure_closure

Measures of network closure

measure_cohesion

Measures of network cohesion or connectedness

measure_diffusion_infection

Measures of network infection

measure_diffusion_net

Measures of network diffusion

measure_diffusion_node

Measures of nodes in a diffusion

measure_features

Measures of network topological features

measure_heterogeneity

Measures of network diversity

measure_hierarchy

Graph theoretic dimensions of hierarchy

measure_holes

Measures of structural holes

measure_over

Helper functions for measuring over splits of networks

measure_periods

Measures of network change

measure_properties

Describing network properties

member_brokerage

Memberships of brokerage

member_cliques

Clique partitioning algorithms

member_community_hier

Hierarchical community partitioning algorithms

member_community_non

Non-hierarchical community partitioning algorithms

member_components

Component partitioning algorithms

member_diffusion

Membership of nodes in a diffusion

member_equivalence

Equivalence clustering algorithms

model_cluster

Methods for equivalence clustering

model_kselect

Methods for selecting clusters

motif_brokerage

Motifs of brokerage

motif_diffusion

Motifs of diffusion

motif_net

Motifs at the network level

motif_node

Motifs at the nodal level

reexports

Objects exported from other packages

tutorials

Open and extract code from tutorials

Many tools for making, modifying, mapping, marking, measuring, and motifs and memberships of many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing and visualizing networks with sensible defaults.

  • Maintainer: James Hollway
  • License: MIT + file LICENSE
  • Last published: 2024-11-05