Czym są sieci społeczne?

Analiza sieci w R

James Curley

Associate Professor, University of Texas at Austin

Dane sieciowe: macierz sąsiedztwa

library(igraph)

g <- graph.edgelist(as.matrix(df), 
               directed = FALSE)

g

IGRAPH UN-- 7 7 -- 
+ attr: name (v/c)
+ edges (vertex names):
[1] A--B A--C A--D A--E A--F E--F F--G

V(g)

+ 7/7 vertices, named:
[1] A B C D E F G

E(g)

+ 7/7 edges (vertex names):
[1] A--B A--C A--D A--E A--F E--F F--G

gorder(g)

[1] 7

gsize(g)

[1] 7

plot(g)

Analiza sieci w R