Plot Bibliometric Network

Draw a co-occurrence network with layout, communities, density and Pajek export.

Plot Bibliometric Network

The Plot Bibliometric Network widget.

Overview

The draw half of the network pair. It renders a network — either built from a data column, or from an Edge Data table produced by Network Co-occurrence, Citation Network or Field Networks — with attractive layouts, Louvain (and other) community colouring, node sizing, curved edges, and a VOSviewer-style density view (item and cluster density). Nodes/clusters are selectable (→ documents), and the network exports to Pajek (.net/.clu/.vec).

Inputs

  • Data (Table) — bibliographic data (builds the network from a column), and/or

  • Edge Data (Table) — a precomputed From/To/Weight edge table.

Outputs

  • Node Data (Table) — nodes with degree and community.

  • Selected Documents (Table) — documents of the selected node(s)/cluster.

  • Selected Nodes (Table) — stats of the selected node(s).

Controls

  • Item type — entity column when building from Data.

  • Top N nodes / Min occurrences / Min edge weight — size/trim the network.

  • Components + Min component size (k) — show all, the largest only, or components ≥ k nodes.

  • Layout — Spring, Circular, Kamada-Kawai, Shell, Spectral, Random.

  • Partition — community detection (Louvain, greedy modularity, label propagation, connected components, or None).

  • Node size — by weighted degree, frequency, betweenness or uniform; Node size (%) scales it.

  • Node shape — circle (default), square, triangle, diamond, star, plus.

  • Label font size, Hide labels below size (%), Show labels — label control.

  • Edge width, Edge thickness by weight, Max edge width, Curved edges — edge styling.

  • Density (VOSviewer-style)Bandwidth (%) and Labels on density for the Item/Cluster density tabs.

  • ClustersSelect a community to forward all its items+documents; Click selects whole cluster toggles click behaviour.

Actions: Pajek export .net / .clu / .vec / Save all.