Function reference • networkflow

Step 1: Creating networks

Functions for creating one or multiple networks and to filter the networks.

build_dynamic_networks() build_network(): Creating One or Multiple Networks from a List of Nodes and Directed Edges

filter_components(): Filtering Network Components

Step 2: Clustering

Functions for detected clusters and manipulate them.

add_clusters(): Detect and Add Clusters to Graphs

merge_dynamic_clusters(): Find Similar Clusters across Multiple Temporal Networks

name_clusters(): Automatically Attributing Names to Clusters

Step 3: Plot networks

Functions for preparing the plots of networks and for plotting them.

layout_networks(): Calculate the Coordinates of Nodes

minimize_crossing_alluvial(): Order the rectangles of the alluvial in a way that minimize crossing of flow

color_networks() color_alluvial(): Color Nodes and Edges of Networks or Alluvial

prepare_label_networks() prepare_label_alluvial(): Creating and Positioning Labels for Plotting Networks or Alluvial

plot_alluvial(): Plot the Alluvial

plot_networks(): Plot your Networks

Step 4: Analysis networks

Functions for exploring the content of the networks.

extract_tfidf(): Extracting TF-IDF Values for Ngrams

Included datasets

Data on articles about stagflation from Goutsmedt (2021) ‘From the Stagflation to the Great Inflation’

Authors_stagflation: List Of Authors Of The Articles and Books Explaining the 1970s US Stagflation.

Nodes_stagflation: Articles and Books Explaining the 1970s US Stagflation.

Ref_stagflation: Articles and Books Explaining the 1970s US Stagflation.

Edges_coupling: Edges For Bibliographic Coupling Network Of Articles and Books Explaining the 1970s US Stagflation.

Nodes_coupling: Articles and Books Explaining the 1970s US Stagflation.

Deprecated functions

Functions that have been replaced or will be replaced soon.

community_colors(): Creating Color Attribute For Network Communities

community_labels(): Calculating the Coordinates for Projecting Community Labels

community_names(): Automatically Attributing Names to Communities

dynamic_network_cooccurrence(): Creating Dynamic Networks from a List of Nodes and Directed Edges

intertemporal_cluster_naming(): Find Similar Clusters across Multiple Temporal Networks

leiden_workflow(): Add Leiden Communities to graph

networks_to_alluv(): Create a data.frame suitable for alluvial graph projection

tbl_main_component(): Creating Graph And Keeping Main Component With Tidygraph From Edges And Nodes

top_nodes(): Displaying the Highest Cited Nodes