1. Aprende
    2. /
  2. Cursos
    3. /
  3. Network Analysis in R
  • 1

    Introduction to networks

    Gratuito

    In this chapter, you will be introduced to fundamental concepts in social network analysis. You will learn how to use the igraph R package to explore and analyze social network data as well as learning how to visualize networks.

  • 2

    Identifying important vertices in a network

    In this chapter you will learn about directed networks. You will also learn how to identify key relationships between vertices in a network as well as how to use these relationships to identify important or influential vertices. Throughout this chapter you will use a network of measles transmission. The data come from the German city of Hagelloch in 1861. Each directed edge of the network indicates a child becoming infected with measles after coming into contact with an infected child.

  • 3

    Characterizing network structures

    This module will show how to characterize global network structures and sub-structures. It will also introduce generating random network graphs.

  • 4

    Identifying special relationships

    This chapter will further explore the partitioning of networks into sub-networks and determining which vertices are more highly related to one another than others. You will also develop visualization methods by creating three-dimensional visualizations.

Initializing

Ejercicio

Node attributes and subsetting

In this exercise you will learn how to add attributes to vertices in the network and view them.

Instrucciones

100 XP
  • Create a new vertex attribute called 'gender' from the vector genders using set_vertex_attr().
  • Create a new vertex attribute called 'age' from the vector ages using set_vertex_attr().
  • View all vertex attributes using vertex_attr().
  • View the attributes of the first five vertices in a dataframe using V(g)[[]].