From 35e74dc7ce87caa56a74edb48bcf55d62f999767 Mon Sep 17 00:00:00 2001
From: krlmlr Creating a graphWe can print the graph to get a summary of its nodes and edges:
g
## IGRAPH 131d005 UN-- 10 2 --
+## IGRAPH e38bf2f UN-- 10 2 --
## + attr: name (v/c)
-## + edges from 131d005 (vertex names):
+## + edges from e38bf2f (vertex names):
## [1] 1--2 1--5
This means: Undirected Named graph
with 10 vertices and 2 edges, with the
@@ -177,7 +177,7 @@
Creating a graph
summary(g)
-## IGRAPH 131d005 UN-- 10 2 --
+## IGRAPH e38bf2f UN-- 10 2 --
## + attr: name (v/c)
The same function make_graph()
can create some notable
graphs by just specifying their name. For example you can create the
@@ -258,9 +258,9 @@
Adding/deleting vertices and edges add_vertices(3) %>%
add_edges(edges = c(38, 39, 39, 40, 40, 38, 40, 37))
g
-## IGRAPH b4271be U--- 40 86 -- Zachary
+## IGRAPH cd48811 U--- 40 86 -- Zachary
## + attr: name (g/c)
-## + edges from b4271be:
+## + edges from cd48811:
## [1] 1-- 2 1-- 3 1-- 4 1-- 5 1-- 6 1-- 7 1-- 8 1-- 9 1--11 1--12
## [11] 1--13 1--14 1--18 1--20 1--22 1--32 2-- 3 2-- 4 2-- 8 2--14
## [21] 2--18 2--20 2--22 2--31 3-- 4 3-- 8 3--28 3--29 3--33 3--10
@@ -352,7 +352,7 @@ Constructing graphs
graph1 <- make_tree(127, 2, mode = "undirected")
summary(g)
-## IGRAPH 5f4a1f7 U--- 5 3 -- Ring graph
+## IGRAPH 75b20b9 U--- 5 3 -- Ring graph
## + attr: name (g/c), mutual (g/l), circular (g/l)
This generates a regular tree graph with 127 vertices, each vertex
having two children. No matter how many times you call
@@ -369,7 +369,7 @@
Constructing graphs
graph1 <- sample_grg(100, 0.2)
summary(graph1)
-## IGRAPH 3d5d41f U--- 100 510 -- Geometric random graph
+## IGRAPH 7658fa1 U--- 100 491 -- Geometric random graph
## + attr: name (g/c), radius (g/n), torus (g/l)
This generates a geometric random graph: n points are chosen
randomly and uniformly inside the unit square and pairs of points closer
@@ -424,7 +424,7 @@
Setting and retrieving attributesV(g)$gender <- c("f", "m", "f", "m", "m", "f", "m")
E(g)$is_formal <- c(FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE)
summary(g)
-## IGRAPH 7cf1cb3 UN-- 7 9 --
+## IGRAPH f39b19d UN-- 7 9 --
## + attr: name (v/c), age (v/n), gender (v/c), is_formal (e/l)
V()
and E()
are the standard way to obtain
a sequence of all vertices and edges, respectively. This assigns an
@@ -468,7 +468,7 @@
Setting and retrieving attributes
V(g)$name[1:3] <- c("Alejandra", "Bruno", "Carmina")
V(g)
-## + 7/7 vertices, named, from 7cf1cb3:
+## + 7/7 vertices, named, from f39b19d:
## [1] Alejandra Bruno Carmina Moshe Nang Samira Ibrahim
To delete attributes:
@@ -580,12 +580,12 @@ Selecting vertices
seq <- V(graph)[2, 3, 7]
seq
-## + 3/10 vertices, from f91eb9e:
+## + 3/10 vertices, from 4ce8d4b:
## [1] 2 3 7
seq <- seq[1, 3] # filtering an existing vertex set
seq
-## + 2/10 vertices, from f91eb9e:
+## + 2/10 vertices, from 4ce8d4b:
## [1] 2 7
Selecting a vertex that does not exist results in an error:
@@ -681,12 +681,12 @@ Selecting edges
E(g)[.from(3)]
-## + 4/9 edges from 7cf1cb3 (vertex names):
+## + 4/9 edges from f39b19d (vertex names):
## [1] Alejandra--Carmina Carmina --Moshe Carmina --Nang Carmina --Samira
Of course it also works with vertex names:
E(g)[.from("Carmina")]
-## + 4/9 edges from 7cf1cb3 (vertex names):
+## + 4/9 edges from f39b19d (vertex names):
## [1] Alejandra--Carmina Carmina --Moshe Carmina --Nang Carmina --Samira
Using .to()
filters edge sequences based on the target
vertices. This is different from .from()
if the graph is
@@ -701,7 +701,7 @@
Selecting edges
-## + 3/9 edges from 7cf1cb3 (vertex names):
+## + 3/9 edges from f39b19d (vertex names):
## [1] Carmina--Nang Carmina--Samira Nang --Samira
To make the %--%
operator work with names, you can build
string vectors containing the names and then use these vectors as
@@ -720,7 +720,7 @@
Selecting edges## [1] "Alejandra" "Carmina" "Samira"
-## + 5/9 edges from 7cf1cb3 (vertex names):
+## + 5/9 edges from f39b19d (vertex names):
## [1] Alejandra--Bruno Alejandra--Moshe Carmina --Moshe Carmina --Nang
## [5] Nang --Samira
diff --git a/articles/igraph_ES.html b/articles/igraph_ES.html
index c45d2baaad..72376306e6 100644
--- a/articles/igraph_ES.html
+++ b/articles/igraph_ES.html
@@ -167,9 +167,9 @@ Crear un grafo
g
-## IGRAPH d88bd03 UN-- 10 2 --
+## IGRAPH 8bfc481 UN-- 10 2 --
## + attr: name (v/c)
-## + edges from d88bd03 (vertex names):
+## + edges from 8bfc481 (vertex names):
## [1] 1--2 1--5
Esto significa: grafo no dirigido (Undirected) con
10 vértices y 2 aristas, que se
@@ -181,7 +181,7 @@
Crear un grafo
summary(g)
-## IGRAPH d88bd03 UN-- 10 2 --
+## IGRAPH 8bfc481 UN-- 10 2 --
## + attr: name (v/c)
También make_graph()
puede crear algunos grafos
destacados con sólo especificar su nombre. Por ejemplo, puedes generar
@@ -268,9 +268,9 @@
Añadir y borrar vértices y arist
add_vertices(3) %>%
add_edges(edges = c(38, 39, 39, 40, 40, 38, 40, 37))
g
-## IGRAPH 5837147 U--- 40 86 -- Zachary
+## IGRAPH 25e54c1 U--- 40 86 -- Zachary
## + attr: name (g/c)
-## + edges from 5837147:
+## + edges from 25e54c1:
## [1] 1-- 2 1-- 3 1-- 4 1-- 5 1-- 6 1-- 7 1-- 8 1-- 9 1--11 1--12
## [11] 1--13 1--14 1--18 1--20 1--22 1--32 2-- 3 2-- 4 2-- 8 2--14
## [21] 2--18 2--20 2--22 2--31 3-- 4 3-- 8 3--28 3--29 3--33 3--10
@@ -366,7 +366,7 @@ Construcción de grafos
graph1 <- make_tree(127, 2, mode = "undirected")
summary(g)
-## IGRAPH f3c17eb U--- 5 3 -- Ring graph
+## IGRAPH 869d920 U--- 5 3 -- Ring graph
## + attr: name (g/c), mutual (g/l), circular (g/l)
Esto genera un grafo regular en forma de árbol con 127 vértices, cada
vértice con dos hijos. No importa cuántas veces llames a
@@ -383,7 +383,7 @@
Construcción de grafos
graph1 <- sample_grg(100, 0.2)
summary(graph1)
-## IGRAPH 7991ca3 U--- 100 557 -- Geometric random graph
+## IGRAPH 94db49f U--- 100 486 -- Geometric random graph
## + attr: name (g/c), radius (g/n), torus (g/l)
Esto genera un grafo geométrico aleatorio: Se eligen n
puntos de forma aleatoria y uniforme dentro del espacio métrico, y los
@@ -441,7 +441,7 @@
Establecer y recuperar atributosV(g)$gender <- c("f", "m", "f", "m", "m", "f", "m")
E(g)$is_formal <- c(FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE)
summary(g)
-## IGRAPH 95915b6 UN-- 7 9 --
+## IGRAPH 435da9a UN-- 7 9 --
## + attr: name (v/c), age (v/n), gender (v/c), is_formal (e/l)
V
y E
son la forma estándar de obtener una
secuencia de todos los vértices y aristas respectivamente. Esto asigna
@@ -489,7 +489,7 @@
Establecer y recuperar atributos
V(g)$name[1:3] <- c("Alejandra", "Bruno", "Carmina")
V(g)
-## + 7/7 vertices, named, from 95915b6:
+## + 7/7 vertices, named, from 435da9a:
## [1] Alejandra Bruno Carmina Moshe Nang Samira Ibrahim
Para eliminar atributos:
@@ -604,12 +604,12 @@ Selección de vértices
seq <- V(graph)[2, 3, 7]
seq
-## + 3/10 vertices, from 91e0de3:
+## + 3/10 vertices, from 2b6705d:
## [1] 2 3 7
seq <- seq[1, 3] # filtrar un conjunto de vértices existente
seq
-## + 2/10 vertices, from 91e0de3:
+## + 2/10 vertices, from 2b6705d:
## [1] 2 7
Al seleccionar un vértice que no existe se produce un error:
@@ -703,12 +703,12 @@ Selección de aristas
E(g)[.from(3)]
-## + 4/9 edges from 95915b6 (vertex names):
+## + 4/9 edges from 435da9a (vertex names):
## [1] Alejandra--Carmina Carmina --Moshe Carmina --Nang Carmina --Samira
Por supuesto, también funciona con nombres de vértices:
E(g)[.from("Carmina")]
-## + 4/9 edges from 95915b6 (vertex names):
+## + 4/9 edges from 435da9a (vertex names):
## [1] Alejandra--Carmina Carmina --Moshe Carmina --Nang Carmina --Samira
Al usar .to()
, se filtran la serie de aristas en función
de los vértices de destino o diana. Esto es diferente de
@@ -725,7 +725,7 @@
Selección de aristas
-## + 3/9 edges from 95915b6 (vertex names):
+## + 3/9 edges from 435da9a (vertex names):
## [1] Carmina--Nang Carmina--Samira Nang --Samira
Para que el operador %--%
funcione con nombres, puedes
construir vectores de caracteres que contengan los nombres y luego
@@ -745,7 +745,7 @@
Selección de aristas## [1] "Alejandra" "Carmina" "Samira"
-## + 5/9 edges from 95915b6 (vertex names):
+## + 5/9 edges from 435da9a (vertex names):
## [1] Alejandra--Bruno Alejandra--Moshe Carmina --Moshe Carmina --Nang
## [5] Nang --Samira
diff --git a/articles/igraph_ES_files/figure-html/unnamed-chunk-17-1.png b/articles/igraph_ES_files/figure-html/unnamed-chunk-17-1.png
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