Use case 02

Bibliometric & scientometric analysis

Five map types, automatic clustering, centrality measures and corpus filters — without leaving your workspace.

A team working through ideas at a flip chart
Comparing collaboration structures across two corpora.

What you will do

Four moves, one workspace.

  1. Choose a map, or ask a question

    Pick one of five network maps, or type a research question and SciNodes selects the map and its settings for you.

  2. Weight and cluster automatically

    Degree, betweenness, closeness and eigenvector centrality are computed for you. Large maps stream in progressively.

  3. Slice the corpus

    Narrow any map by year range, document type, venue, author, open-access status or minimum citations, or describe the subset in a sentence.

  4. Keep the evidence together

    Bookmark authors and venues, write notes against clusters and nodes, and share the project with collaborators.

Features that carry it

Built from these.

Who it is for

People doing this today.

  • Research managers and analysts
  • Librarians and research-support staff

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