Chapter 9. Graph Mining and Network Analysis
In this chapter, you will learn the algorithms written in R for graph mining and network analysis.
In this chapter, we will cover the following topics:
- Graph mining
- Mining frequent subgraph patterns
- Social network mining
- Social influence mining
Graph mining
Grouping, messaging, dating, and many other means are the major forms of social communication or the classic social behavior in the social network. All these concepts are modeled with graphs; that is, nodes, edges, and other attributes. Graph mining is developed to mine this information, which is similar to other types of information, such as biological information, and so on.
Graph
Graph G contains nodes V and edges E and is represented with an equation, ...
Get R: Data Analysis and Visualization now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.