From 84b85d1c52472ce3066b00e42372c663036fa782 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 271446d UN-- 10 2 --
+## IGRAPH db4a20c UN-- 10 2 --
## + attr: name (v/c)
-## + edges from 271446d (vertex names):
+## + edges from db4a20c (vertex names):
## [1] 1--2 1--5
This means: Undirected Named graph
with 10 vertices and 2 edges, with the
@@ -169,7 +169,7 @@
Creating a graph
summary(g)
-## IGRAPH 271446d UN-- 10 2 --
+## IGRAPH db4a20c 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
@@ -247,9 +247,9 @@
Adding/deleting vertices and edgesg <- g %>% add_edges(edges=c(1,34)) %>% add_vertices(3) %>%
add_edges(edges=c(38,39, 39,40, 40,38, 40,37))
g
-## IGRAPH a3328bf U--- 40 86 -- Zachary
+## IGRAPH 78d519f U--- 40 86 -- Zachary
## + attr: name (g/c)
-## + edges from a3328bf:
+## + edges from 78d519f:
## [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
@@ -332,7 +332,7 @@ Constructing graphs
graph1 <- make_tree(127, 2, mode = "undirected")
summary(g)
-## IGRAPH 745f24b U--- 5 3 -- Ring graph
+## IGRAPH d4ec142 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
@@ -349,7 +349,7 @@
Constructing graphs
graph1 <- sample_grg(100, 0.2)
summary(graph1)
-## IGRAPH 07cef50 U--- 100 531 -- Geometric random graph
+## IGRAPH 4e14b28 U--- 100 492 -- 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
@@ -400,7 +400,7 @@
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 7c48158 UN-- 7 9 --
+## IGRAPH 29dbd35 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
@@ -442,7 +442,7 @@
Setting and retrieving attributes
V(g)$name[1:3] <- c("Alejandra", "Bruno", "Carmina")
V(g)
-## + 7/7 vertices, named, from 7c48158:
+## + 7/7 vertices, named, from 29dbd35:
## [1] Alejandra Bruno Carmina Frank Dennis Esther George
To delete attributes:
@@ -554,12 +554,12 @@ Selecting vertices
seq <- V(graph)[2, 3, 7]
seq
-## + 3/10 vertices, from 531520e:
+## + 3/10 vertices, from 3a874e0:
## [1] 2 3 7
seq <- seq[1, 3] # filtering an existing vertex set
seq
-## + 2/10 vertices, from 531520e:
+## + 2/10 vertices, from 3a874e0:
## [1] 2 7
Selecting a vertex that does not exist results in an error:
@@ -655,12 +655,12 @@ Selecting edges
E(g)[.from(3)]
-## + 4/9 edges from 7c48158 (vertex names):
+## + 4/9 edges from 29dbd35 (vertex names):
## [1] Alejandra--Carmina Carmina --Frank Carmina --Dennis Carmina --Esther
Of course it also works with vertex names:
E(g)[.from("Carmina")]
-## + 4/9 edges from 7c48158 (vertex names):
+## + 4/9 edges from 29dbd35 (vertex names):
## [1] Alejandra--Carmina Carmina --Frank Carmina --Dennis Carmina --Esther
Using .to
filters edge sequences based on the target
vertices. This is different from .from
if the graph is
@@ -675,7 +675,7 @@
Selecting edges
-## + 3/9 edges from 7c48158 (vertex names):
+## + 3/9 edges from 29dbd35 (vertex names):
## [1] Carmina--Dennis Carmina--Esther Dennis --Esther
To make the %--%
operator work with names, you can build
string vectors containing the names and then use these vectors as
@@ -694,7 +694,7 @@
Selecting edges## [1] "Alejandra" "Carmina" "Esther"
-## + 5/9 edges from 7c48158 (vertex names):
+## + 5/9 edges from 29dbd35 (vertex names):
## [1] Alejandra--Bruno Alejandra--Frank Carmina --Frank Carmina --Dennis
## [5] Dennis --Esther
diff --git a/articles/igraph_ES.html b/articles/igraph_ES.html
index 08e0255874..f2c8305d80 100644
--- a/articles/igraph_ES.html
+++ b/articles/igraph_ES.html
@@ -159,9 +159,9 @@ Crear un grafo
g
-## IGRAPH ed541fb UN-- 10 2 --
+## IGRAPH ff08979 UN-- 10 2 --
## + attr: name (v/c)
-## + edges from ed541fb (vertex names):
+## + edges from ff08979 (vertex names):
## [1] 1--2 1--5
Esto significa: grafo no dirigido (Undirected) con
10 vértices y 2 aristas, que se
@@ -173,7 +173,7 @@
Crear un grafo
summary(g)
-## IGRAPH ed541fb UN-- 10 2 --
+## IGRAPH ff08979 UN-- 10 2 --
## + attr: name (v/c)
También make_graph
puede crear algunos grafos destacados
con sólo especificar su nombre. Por ejemplo, puedes generar el grafo que
@@ -257,9 +257,9 @@
Añadir y borrar vértices y arist
g <- g %>% add_edges(edges=c(1,34)) %>% add_vertices(3) %>%
add_edges(edges=c(38,39, 39,40, 40,38, 40,37))
g
-## IGRAPH ea60a19 U--- 40 86 -- Zachary
+## IGRAPH 3e4b06e U--- 40 86 -- Zachary
## + attr: name (g/c)
-## + edges from ea60a19:
+## + edges from 3e4b06e:
## [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
@@ -346,7 +346,7 @@ Construcción de grafos
graph1 <- make_tree(127, 2, mode = "undirected")
summary(g)
-## IGRAPH 45a8549 U--- 5 3 -- Ring graph
+## IGRAPH 416dba3 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
@@ -363,7 +363,7 @@
Construcción de grafos
graph1 <- sample_grg(100, 0.2)
summary(graph1)
-## IGRAPH 655cadf U--- 100 512 -- Geometric random graph
+## IGRAPH 687a45f U--- 100 525 -- 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
@@ -416,7 +416,7 @@
Establecer y recuperar atributosV(g)$gender <- c("f", "m", "f", "m", "m", "f", "m")
E(g)$is_formal <- c(FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE)
summary(g)
-## IGRAPH e67fcb8 UN-- 7 9 --
+## IGRAPH 44fba29 UN-- 7 9 --
## + attr: name (v/c), age (v/n), gender (v/c), is_formal (e/l)
V
y E
son la forma estándar de obtener una
secuencia de todos los vértices y aristas respectivamente. Esto asigna
@@ -460,7 +460,7 @@
Establecer y recuperar atributos
V(g)$name[1:3] <- c("Alejandra", "Bruno", "Carmina")
V(g)
-## + 7/7 vertices, named, from e67fcb8:
+## + 7/7 vertices, named, from 44fba29:
## [1] Alejandra Bruno Carmina Frank Dennis Esther George
Para eliminar atributos:
@@ -575,12 +575,12 @@ Selección de vértices
seq <- V(graph)[2, 3, 7]
seq
-## + 3/10 vertices, from 1fe8d4f:
+## + 3/10 vertices, from 8948ad0:
## [1] 2 3 7
seq <- seq[1, 3] # filtrar un conjunto de vértices existente
seq
-## + 2/10 vertices, from 1fe8d4f:
+## + 2/10 vertices, from 8948ad0:
## [1] 2 7
Al seleccionar un vértice que no existe se produce un error:
@@ -674,12 +674,12 @@ Selección de aristas
E(g)[.from(3)]
-## + 4/9 edges from e67fcb8 (vertex names):
+## + 4/9 edges from 44fba29 (vertex names):
## [1] Alejandra--Carmina Carmina --Frank Carmina --Dennis Carmina --Esther
Por supuesto, también funciona con nombres de vértices:
E(g)[.from("Carmina")]
-## + 4/9 edges from e67fcb8 (vertex names):
+## + 4/9 edges from 44fba29 (vertex names):
## [1] Alejandra--Carmina Carmina --Frank Carmina --Dennis Carmina --Esther
Al usar .to
, se filtran la serie de aristas en función
de los vértices de destino o diana. Esto es diferente de
@@ -696,7 +696,7 @@
Selección de aristas
-## + 3/9 edges from e67fcb8 (vertex names):
+## + 3/9 edges from 44fba29 (vertex names):
## [1] Carmina--Dennis Carmina--Esther Dennis --Esther
Para que el operador %--%
funcione con nombres, puedes
construir vectores de caracteres que contengan los nombres y luego
@@ -716,7 +716,7 @@
Selección de aristas## [1] "Alejandra" "Carmina" "Esther"
-## + 5/9 edges from e67fcb8 (vertex names):
+## + 5/9 edges from 44fba29 (vertex names):
## [1] Alejandra--Bruno Alejandra--Frank Carmina --Frank Carmina --Dennis
## [5] Dennis --Esther
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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