As per Introduction to Digital Humanities – Networks:
The concept of a network has become ubiquitous in current culture. Almost any connection to anything else can be called a network, but properly speaking, a network has to be a system of elements or entities that are connected by explicit relations. Unlike other data structures we have looked at–data bases, mark-up systems, classification systems, and so on—networks are defined by the specific relations among elements in the system rather than by the content types or components. The term network is frequently used to describe the infrastructure that connects computers to each other and to peripherals, devices, or systems in a linked environment. But the networks we are concerned with in digital humanities are created by relationships among different elements in a model of content.
Goals:
- Understand how networks and relationships within a text work and the subsequent impact
- Create and analyze a network visualization
Get Resources:
- Network Analysis
- Demystifying Networks
- Get Your Data into Gephi
- Getting Started with Palladio
- Visualizing Intertextuality with kumu.io
- Text Mining with R – Relationships between words
- Text Mining with R – Case study: mining NASA metadata
