Text networks, part two: Co-occurrence networks

This post is part of a series of posts about text network analysis. Each post will discuss one approach to algorithmically creating networks from texts. See the primer for an introduction and the list of posts.

Recalling the networks 101, a network in its formal representation consists of nodes, i.e. the basic elements of my data, and edges, i.e. relations between the nodes. When creating a network from a text, one has to answer two basic questions:

  1. What are my nodes?
  2. What constitutes a relation between two nodes?

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Text networks, part one: Primer

This post is part of a series of posts about text network analysis. Each post will discuss one approach to algorithmically creating networks from texts.
Historical network analysis—or, more generally, network analysis in the digital humanities—is in most cases an application of Social Network Analysis in the fields of history or literary studies. It shares with sociological approaches its focus on social actors, or: people. In contrast to sociology, DH applications mostly focus on dead (history) or fictional (literary studies) people.
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