igraph · krlmlr · May 28, 2023 · Apr 13, 2023 · Apr 13, 2023 · Apr 14, 2023
diff --git a/README.md b/README.md
@@ -49,7 +49,7 @@ See the package wiki for more information on [installation troubleshooting](http
 
 ## Documentation
 
-See the [igraph homepage](https://igraph.org/r/) for the complete manual.
+See the [igraph homepage](https://igraph.org/) for the complete manual.
 
 ## Contributions
 

diff --git a/vignettes/igraph.Rmd b/vignettes/igraph.Rmd
@@ -10,7 +10,7 @@ vignette: >
   %\VignetteEncoding{UTF-8}
 ---
 
-`igraph` is a fast and open source library for the analysis of graphs or networks. The library consists of a core written in C and bindings for high-level languages including [R](https://igraph.org/r/), [Python](https://igraph.readthedocs.io/), and [Mathematica](http://szhorvat.net/pelican/igraphm-a-mathematica-interface-for-igraph.html). This vignette aims to give you an overview of the functions available in the R interface of `igraph`. For detailed function by function API documentation, check out [https://igraph.org/r/html/latest/](https://igraph.org/r/html/latest/).
+`igraph` is a fast and open source library for the analysis of graphs or networks. The library consists of a core written in C and bindings for high-level languages including [R](https://r.igraph.org/), [Python](https://python.igraph.org/en/stable/), and [Mathematica](http://szhorvat.net/pelican/igraphm-a-mathematica-interface-for-igraph.html). This vignette aims to give you an overview of the functions available in the R interface of `igraph`. For detailed function by function API documentation, check out <https://r.igraph.org/reference/>.
 
 ***
 **NOTE:** Throughout this tutorial, we will use words `graph` and `network` as synonyms, and also `vertex` or `node` as synonyms.
@@ -23,7 +23,7 @@ To install the library from CRAN, use:
 install.packages("igraph")
 ```
 
-More details on dependencies, requirements, and troubleshooting on installation are found on the main [documentation page](https://igraph.org/r/).
+More details on dependencies, requirements, and troubleshooting on installation are found on the main [documentation page](https://r.igraph.org/).
 
 ## Usage
 To use `igraph` in your R code, you must first load the library:
@@ -95,7 +95,7 @@ Vertices and edges have numerical vertex IDs in igraph. Vertex IDs are always co
 The same is true for the edges as well: edge IDs are always between 1 and m, the total number of edges in the graph.
 
 ***
-**NOTE**: If you are familiar with the C core or the [Python](https://igraph.readthedocs.io/en/stable/) interface of `igraph`, you might have noticed that in those languages vertex and edge IDs start from 0. In the R interface, both start from 1 instead, to keep consistent with the convention in each language.
+**NOTE**: If you are familiar with the C core or the [Python](https://python.igraph.org/en/stable/) interface of `igraph`, you might have noticed that in those languages vertex and edge IDs start from 0. In the R interface, both start from 1 instead, to keep consistent with the convention in each language.
 
 ***
 
@@ -620,7 +620,7 @@ No graph module would be complete without some kind of import/export functionali
 
 This tutorial is a brief introduction to `igraph` in R. We sincerely hope you enjoyed reading it and that it will be useful for your own network analyses.
 
-For a detailed description of specific functions, see [https://igraph.org/r/html/latest/](https://igraph.org/r/html/latest/). For questions on how to use `igraph`, please visit our [Forum](https://igraph.discourse.group). To report a bug, open a [Github issue](https://github.com/igraph/rigraph/issues). Please do not ask usage questions on Github directly as it's meant for developers rather than users.
+For a detailed description of specific functions, see <https://r.igraph.org/reference/>. For questions on how to use `igraph`, please visit our [Forum](https://igraph.discourse.group). To report a bug, open a [Github issue](https://github.com/igraph/rigraph/issues). Please do not ask usage questions on Github directly as it's meant for developers rather than users.
 
 ## Session info
 

diff --git a/vignettes/igraph_ES.rmd b/vignettes/igraph_ES.rmd
@@ -10,7 +10,7 @@ vignette: >
   %\VignetteEncoding{UTF-8}
 ---
 
-`igraph` es una biblioteca rápida y de código abierto para el análisis de grafos o redes. El núcleo de ésta libreria se encuentra escrito en C y contiene enlaces para lenguajes de alto nivel como [R](https://igraph.org/r/), [Python](https://igraph.readthedocs.io/), y [Mathematica](http://szhorvat.net/pelican/igraphm-a-mathematica-interface-for-igraph.html). Esta viñeta pretende darte una visión general de las funciones disponibles de `igraph` en R. Para obtener información detallada de cada función, consulta <https://igraph.org/r/html/latest/>.
+`igraph` es una biblioteca rápida y de código abierto para el análisis de grafos o redes. El núcleo de ésta libreria se encuentra escrito en C y contiene enlaces para lenguajes de alto nivel como [R](https://r.igraph.org/), [Python](https://python.igraph.org/), y [Mathematica](http://szhorvat.net/pelican/igraphm-a-mathematica-interface-for-igraph.html). Esta viñeta pretende darte una visión general de las funciones disponibles de `igraph` en R. Para obtener información detallada de cada función, consulta <https://r.igraph.org/reference/>.
 
 ------------------------------------------------------------------------
 
@@ -26,7 +26,7 @@ Para instalar la librería desde CRAN, usa:
 install.packages("igraph")
 ```
 
-Encontrarás más información sobre dependencias, requisitos y resolución de problemas sobre la instalación en la [página principal](https://igraph.org/r/).
+Encontrarás más información sobre dependencias, requisitos y resolución de problemas sobre la instalación en la [página principal](https://r.igraph.org/).
 
 ## Uso de igraph
 
@@ -102,7 +102,7 @@ Lo mismo ocurre con las aristas: los ID de las aristas están siempre entre 1 y
 
 ------------------------------------------------------------------------
 
-**NOTA**: Si estás familiarizado con C o con la interfaz [Python](https://igraph.readthedocs.io/en/stable/) de `igraph`, te habrás dado cuenta de que en esos lenguajes los IDs de vértices y aristas empiezan por 0. En la interfaz de R, ambos empiezan por 1, para mantener la coherencia con la convención de cada lenguaje.
+**NOTA**: Si estás familiarizado con C o con la interfaz [Python](https://python.igraph.org/en/stable/) de `igraph`, te habrás dado cuenta de que en esos lenguajes los IDs de vértices y aristas empiezan por 0. En la interfaz de R, ambos empiezan por 1, para mantener la coherencia con la convención de cada lenguaje.
 
 ------------------------------------------------------------------------
 
@@ -628,7 +628,7 @@ Ningún módulo de grafos estaría completo sin algún tipo de funcionalidad de
 
 Este tutorial es una breve introducción a `igraph` en R. Esperamos que hayas disfrutado de su lectura y que te resulte útil para tus propios análisis de redes.
 
-Para una descripción detallada de funciones específicas, consulta <https://igraph.org/r/html/latest/>. Si tienes preguntas sobre cómo utilizar `igraph`, visita nuestro [Foro](https://igraph.discourse.group). Para informar de un error, abre una [incidencia en Github](https://github.com/igraph/rigraph/issues). Por favor, no hagas preguntas de uso en Github directamente, ya que está pensado para desarrolladores y no para usuarios.
+Para una descripción detallada de funciones específicas, consulta <https://r.igraph.org/reference/>. Si tienes preguntas sobre cómo utilizar `igraph`, visita nuestro [Foro](https://igraph.discourse.group). Para informar de un error, abre una [incidencia en Github](https://github.com/igraph/rigraph/issues). Por favor, no hagas preguntas de uso en Github directamente, ya que está pensado para desarrolladores y no para usuarios.
 
 ## Información de la sesión