Network Co-occurrence

Build a co-occurrence network (keywords, co-authorship, co-citation, …).

Network Co-occurrence

The Network Co-occurrence widget.

Overview

The compute half of the network pair: it builds a co-occurrence network from the corpus — keyword co-occurrence, co-authorship, country/institution collaboration, co-citation, or title/abstract n-grams — applies a thesaurus and filters, and emits node/edge tables plus an Orange Network object. Pair its Edge Data output with Plot Bibliometric Network to draw it.

Inputs

  • Data (Table) — bibliographic data.

Outputs

  • Network (Network/object) — for the Orange Network add-on.

  • Node Data (Table) — nodes with frequency and metrics.

  • Edge Data (Table) — Source/Target/Weight, for the plot widget.

Controls

  • Network Type — what to relate (author/index/all keywords, co-authorship, co-citation, source co-citation, country/institution collaboration, title/abstract n-grams).

  • N-gram size — n-gram length (text modes only).

  • Top N Nodes — keep the N most frequent entities.

  • Min Occurrences — drop entities below this frequency.

  • Min Edge Weight — drop weak co-occurrence links.

  • Include / Exclude (+ Use regex) — keep or drop specific entities.

  • Normalize weights — scale edge weights (association strength).

  • Thesaurus / Synonyms — merge variant terms (inline rules or Load from Excel…).

Actions: Build Network, Load from Excel….