add: updated notebooks

Author: BeaMarton13

doc/source/community_detection_guide.rst

@@ -17,7 +17,7 @@ This documentation provides an overview of the notebooks available in the commun
    community_detection_guide/notebooks/membership_vector.ipynb
    community_detection_guide/notebooks/modularity.ipynb
    community_detection_guide/notebooks/test_significance_of_community.ipynb
-   community_detection_guide/notebooks/vertex_clustering_object.ipynb
+   community_detection_guide/notebooks/working_with_clusterings.ipynb
 
 .. grid:: 2 2 3 3
    :gutter: 3
@@ -95,12 +95,12 @@ This documentation provides an overview of the notebooks available in the commun
       **Overview:** This notebook introduces membership vectors in igraph.
 
    .. grid-item-card::  Vertex Clustering Object
-      :link: community_detection_guide/notebooks/vertex_clustering_object
+      :link: community_detection_guide/notebooks/working_with_clusterings
       :link-type: doc
       :class-card: sd-card-hover card-deep-purple 
       :shadow: sm
 
-      **Overview:** This notebook introduces vertex clustering objects in igraph.
+      **Overview:** This notebook describes how to work with clusterings in igraph.
 
    .. grid-item-card::  Helper Functions
       :link: community_detection_guide/notebooks/functions

doc/source/community_detection_guide/notebooks/hierarchical_clustering.ipynb

@@ -113,7 +113,7 @@
     "The `as_clustering()` method returns a `VertexClustering` object, which represents the partition with the highest modularity found by the algorithm among all available partitions.\n",
     "<div style=\"background-color: #e6ffe6; padding: 20px; border-radius: 5px;\">\n",
     "    \n",
-    "**NOTE:** You can find more details about **VertexClustering** [here](./vertex_clustering_object.ipynb).\n",
+    "**NOTE:** You can find more details about how to work with clusterings [here](./working_with_clusterings.ipynb).\n",
     "\n",
     "</div>"
    ]

doc/source/community_detection_guide/notebooks/initial_workflow.ipynb

@@ -136,11 +136,6 @@
     "#### Basic inspection and accessing data\n",
     "\n",
     "`community_leiden`(and most of the community detection methods available in igraph) returns a `VertexClustering` object. \n",
-    "<div style=\"background-color: #e6ffe6; padding: 20px; border-radius: 5px;\">\n",
-    "    \n",
-    "**NOTE:** You can find more details about **VertexClustering** [here](./vertex_clustering_object.ipynb).\n",
-    "\n",
-    "</div>\n",
     "\n",
     "* From here we can access the membership vector. It's a list or array where each element corresponds to a vertex, and the value is the index of the cluster it belongs to.\n",
     "\n",