Section 1 – Quick Introduction to Network Analysis


Lesson 3 – Knowledge Network Visualization and Analysis

Network analysis can also be applied to concepts, knowledge, and texts. 

For instance, in the context of a conference we could create a map of all the concepts that were mentioned in all the different talks to see how they relate to one another. This would allow us to have a comprehensive visual overview of the discourse produced as a result of the conference, and also discover the topical clusters as well as the “blind spots” – areas that were not covered.

Text network visualization conference sessions 

Linking various foods to the vitamins and minerals that they contain, may help us find out what are the most nutritious foods and how to combine them to get the most wholesome diet.

food-nutrition-vitamins-network-graph

Text network visualization will provide a good visual overview of the text and show how different concepts link together – a brief visual summary of content, which can be inspiring both for writers and for researchers.

In all these cases the strategy is similar to the one we use with social networks:

1) Identify the data you’re interested in (e.g. foods and nutrition information)
2) Identify what insights you’d like to have (what are the most nutritious foods?)
3) Identify what represents the nodes in the network (these could be the concepts, objects, words)
4) Identify what represents the edges (connections) in the network (could be co-occurrence of objects/concepts/words)
5) Encode the data as a graph
6) Apply basic metrics and layout, to make it readable
7) Understand the emerging patterns, find insights as identified in 2)
8) Reiterate