R 网络分析：边和顶点的颜色

Question

我在 R 中用 igraph-Package 创建了一个图表。

现在我想让图表更加丰富多彩。我想根据我的数据集中的“派对”类型为我的网络着色。我的数据集如下所示：

    Screen.name     mentions           party
  1 @A_Gloeckner    @MartinSchulz      SPD
  2 @A_Gloeckner    @MartinSchulz      SPD
  3 @A_Gloeckner    @MartinSchulz      SPD
  4 @A_Gloeckner    @ManuelaSchwesig   SPD
  5 @A_Gloeckner    @sigmargabriel     SPD
  6 @A_Gloeckner    @nahlesMeine       SPD
  ... ...           ...                ...
 33 @A_Schillhaneck @BA_Mitte_Berlin   GRNE
 34 @A_Schillhaneck @nytimes           GRNE
 35 @A_Schillhaneck @nutellaberliner   GRNE

这是我创建图形的代码：

gj <- graph.data.frame(joined_df, directed = TRUE)
plot(gj,
 vertex.label = NA,
 vertex.size = 2,
 edge.arrow.size = 0.1,
 vertex.label.cex = 0.8,
 layout = layout.fruchterman.reingold)

图表：

> gj
IGRAPH c5ba2ee DN-- 1279 2147 -- 
+ attr: name (v/c), color (v/c), party (e/c)
+ edges from c5ba2ee (vertex names):
[1] @A_Gloeckner->@MartinSchulz    @A_Gloeckner->@MartinSchulz    
@A_Gloeckner->@MartinSchulz   
[4] @A_Gloeckner->@ManuelaSchwesig @A_Gloeckner->@sigmargabriel   
@A_Gloeckner->@nahlesMeine    
[7] @A_Gloeckner->@Willy           @a_grotheer ->@NSC_CPMR        @a_grotheer 
 ->@SouthendRNLI   
[10] @a_grotheer ->@weserkurier     @a_grotheer ->@werderbremen    
@a_grotheer ->@ribasdiego10        
+ ... omitted several edges

现在我希望边缘和顶点对于每个不同的“派对”来说都是自己的颜色。在这种情况下，我只有两个不同的政党（“SPD”、“GRNE”）。我希望每个带有“party”-Value“SPD”的节点和顶点都是红色的，每个带有“GRNE”的值都是绿色的。

有人知道怎么做吗？

我知道我可以更改颜色，例如 vertex.color = "red" 或 edge.color = "red"，但我不知道如何设置依赖项的颜色。

在此先感谢您的帮助！

Answer 1

您可以像下面这样使用set_edge_attr

graph.data.frame(joined_df, directed = TRUE) %>%
  set_edge_attr(name = "color", value = c("red", "green")[match(joined_df$party, c("SPD", "GRNE"))]) %>%
  plot(
    vertex.label = NA,
    vertex.size = 2,
    edge.arrow.size = 0.1,
    vertex.label.cex = 0.8,
    layout = layout.fruchterman.reingold
  )

如果你的颜色比较多，想自动给边上色，可以试试

graph.data.frame(joined_df, directed = TRUE) %>%
  set_edge_attr(name = "color", value = factor(joined_df$party)) %>%
  plot(
    vertex.label = NA,
    vertex.size = 2,
    edge.arrow.size = 0.1,
    vertex.label.cex = 0.8,
    layout = layout.fruchterman.reingold
  )

其中 factor 应该用于 party 颜色值。

虚拟数据

> dput(joined_df)
structure(list(Screen.name = c("@A_Gloeckner", "@A_Gloeckner",
"@A_Gloeckner", "@A_Gloeckner", "@A_Gloeckner", "@A_Gloeckner",
"@A_Schillhaneck", "@A_Schillhaneck", "@A_Schillhaneck"), mentions = c("@MartinSchulz",
"@MartinSchulz", "@MartinSchulz", "@ManuelaSchwesig", "@sigmargabriel",
"@nahlesMeine", "@BA_Mitte_Berlin", "@nytimes", "@nutellaberliner"
), party = c("SPD", "SPD", "SPD", "SPD", "SPD", "SPD", "GR<dc>NE",
"GR<dc>NE", "GR<dc>NE")), class = "data.frame", row.names = c("1",
"2", "3", "4", "5", "6", "33", "34", "35"))

R 网络分析：边和顶点的颜色

R Network Analysis: Color of edges and vertices

r

graph

igraph

network-analysis

虚拟数据