Graphviz 集群对齐

如何解决Graphviz 集群对齐

我的图有 5 个集群（1 个垂直，4 个水平），

我想在这里纠正三件事，

1. 所有水平簇都在右侧
2. 每个水平集群与左侧集群上连接的节点处于同一高度（不得在上方或下方移动）
3. 水平集群节点按照集群中的定义从 1 到 4 排序（非随机）

我尝试了分组和排名，但无法解决，

digraph {
graph[bgcolor = '#FDFDFD']
node[fontname = 'helvetica-bold',width = 1.5,height = 0.5,fontsize=12]
rankdir=TB;

    subgraph cluster_main {
    style=dashed; color= '#625a5a'; 
    label='Steps for \n Scientometric Analysis'
    graph[rankdir=TB]
    node [shape=Box,style=filled,color=black,fillcolor = '#91cf60'];
      a[group=g1,label = 'Section 1 \n Descriptive Analysis']
      b[group=g2,label = 'Section 2 \n Intellectual Structure']
      c[label = 'Section 3 \n Historiograph']
      d[group=g3,label = 'Section 4 \n Conceptual structure']
      e[label = 'Section 5 \n Thematic Map']
      f[group=g4,label = 'Section 6 \n Social structure']
      a -> b -> c -> d -> e -> f}
  
    subgraph cluster_a {
    color= '#625a5a';
    node [shape=Box,style = filled,fillcolor = '#fee08b'];
      a4[group=g1,label = 'Top manuscripts']
      a3[group=g1,label = 'Most Productive \n Authors']
      a2[group=g1,label = 'Most Cited \n References']
      a1[group=g1,label = 'Main findings']}  
    
    subgraph cluster_b {
    color= '#625a5a';
    node [shape=Box,fillcolor = '#fee08b'];
      b4[group=g2,label = 'Source \n coupling analysis']
      b3[group=g2,label = 'Source \n co-citation analysis']
      b2[group=g2,label = 'Article \n coupling analysis']
      b1[group=g2,label = 'Article \n co-citation analysis']}

    subgraph cluster_d {
    color= '#625a5a';
    node [shape=Box,fillcolor = '#fee08b'];
     d4[group=g3,label = 'Title & Abstract \n Term Analysis']
     d3[group=g3,label = 'Correspondence Analysis \n for both Keywords']
     d2[group=g3,label = 'Author Keyword \n Co-occurrence & Growth']
     d1[group=g3,label = 'Keyword-Plus \n Co-occurrence & Growth']}

    subgraph cluster_f {
    color= '#625a5a';
    node [shape=Box,fillcolor = '#fee08b'];
        f4[group=g4,label = 'Country \n Collaboration Network']
        f3[group=g4,label = 'Edu \n Collaboration Network']
        f2[group=g4,label = 'Author \n Collaboration Network']
        f1[group=g4,label = 'Three Fields \n Plots']}

    a -> {a1 a2 a3 a4}
    b -> {b1 b2 b3 b4}
    d -> {d1 d2 d3 d4}
    f -> {f1 f2 f3 f4}

    edge[style=invis]
      a1 -> b1 -> d1 -> f1
      a2 -> b2 -> d2 -> f2
      a3 -> b3 -> d3 -> f3
      a4 -> b4 -> d4 -> f4

 }

解决方法

集群很难定位。你非常接近。我在 4 个水平集群周围添加了一个集群来围住它们，但这不是必需的。并更改了组。查找“已添加”一词以查找更改。

digraph {
  graph[bgcolor = "#FDFDFD"]
  graph [newrank=true] // added
  node[fontname = "helvetica-bold",width = 1.5,height = 0.5,fontsize=12]
  rankdir=TB;

    subgraph cluster_main {
    style=dashed; color= "#625a5a"; 
    label="Steps for \n Scientometric Analysis"
    graph[rankdir=TB]
    node [shape=box,style=filled,color=black,fillcolor = "#91cf60"];
    node [group=vert]  // added
      a[label = "Section 1 \n Descriptive Analysis"]
      b[label = "Section 2 \n Intellectual Structure"]
      c[label = "Section 3 \n Historiograph"]
      d[label = "Section 4 \n Conceptual structure"]
      e[label = "Section 5 \n Thematic Map"]
      f[label = "Section 6 \n Social structure"]
      a -> b -> c -> d -> e -> f}

    subgraph cluster_a {
    color= "#625a5a";
    node [shape=box,style = filled,fillcolor = "#fee08b"];
      a4[label = "Top manuscripts"]
      a3[label = "Most Productive \n Authors"]
      a2[label = "Most Cited \n References"]
      a1[label = "Main findings"]}  
    
    subgraph cluster_b {
    color= "#625a5a";
    node [shape=box,fillcolor = "#fee08b"];
      b4[label = "Source \n coupling analysis"]
      b3[label = "Source \n co-citation analysis"]
      b2[label = "Article \n coupling analysis"]
      b1[label = "Article \n co-citation analysis"]}

    subgraph cluster_d {
    color= "#625a5a";
    node [shape=box,fillcolor = "#fee08b"];
     d4[label = "Title & Abstract \n Term Analysis"]
     d3[label = "Correspondence Analysis \n for both Keywords"]
     d2[label = "Author Keyword \n Co-occurrence & Growth"]
     d1[label = "Keyword-Plus \n Co-occurrence & Growth"]}

    subgraph cluster_f {
    color= "#625a5a";
    node [shape=box,fillcolor = "#fee08b"];
        f4[label = "Country \n Collaboration Network"]
        f3[label = "Edu \n Collaboration Network"]
        f2[label = "Author \n Collaboration Network"]
        f1[label = "Three Fields \n Plots"]
    }

    // added rank=same
    {rank = same a -> {a1 a2 a3 a4} }
    {rank = same b -> {b1 b2 b3 b4} }
    {rank = same d -> {d1 d2 d3 d4} }
    {rank = same f -> {f1 f2 f3 f4} }

    edge[style=invis]
      a1 -> b1 -> d1 -> f1
      a2 -> b2 -> d2 -> f2
      a3 -> b3 -> d3 -> f3
      a4 -> b4 -> d4 -> f4
 }

给予：