From 00fca83f4c29ff2fb0e4baabe0dbb45793e30614 Mon Sep 17 00:00:00 2001
From: James Hollway <james.hollway@graduateinstitute.ch>
Date: Mon, 13 Apr 2026 12:08:25 +0200
Subject: [PATCH 1/6] Fixed logos

---
 inst/autograph.png                            | Bin 0 -> 160819 bytes
 .../{autograph_logo.png => autograph_old.png} | Bin
 man/figures/logo.png                          | Bin 187634 -> 160819 bytes
 3 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 inst/autograph.png
 rename inst/{autograph_logo.png => autograph_old.png} (100%)

diff --git a/inst/autograph.png b/inst/autograph.png
new file mode 100644
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From a6d733d1b5ef19d87698b3351e99543c1d456f65 Mon Sep 17 00:00:00 2001
From: James Hollway <james.hollway@graduateinstitute.ch>
Date: Thu, 30 Apr 2026 08:09:25 +0200
Subject: [PATCH 2/6] Fixed the tutorial to use netrics functions

---
 inst/tutorials/tutorial2/visualisation.Rmd  |  26 ++---
 inst/tutorials/tutorial2/visualisation.html | 110 ++++++++++----------
 2 files changed, 70 insertions(+), 66 deletions(-)

diff --git a/inst/tutorials/tutorial2/visualisation.Rmd b/inst/tutorials/tutorial2/visualisation.Rmd
index af514ef..3574977 100644
--- a/inst/tutorials/tutorial2/visualisation.Rmd
+++ b/inst/tutorials/tutorial2/visualisation.Rmd
@@ -273,7 +273,7 @@ to the node.
 
 ```{r degsize, exercise = TRUE, fig.width=9}
 fict_lotr %>% 
-  mutate(Degree = node_deg(fict_lotr)) %>% 
+  mutate(Degree = node_by_deg(fict_lotr)) %>% 
   graphr(node_size = "Degree")
 ```
 
@@ -291,7 +291,7 @@ then `graphr()` will even try to use this information automatically.
 
 ```{r tiesize, exercise = TRUE, fig.width=9}
 fict_lotr %>% 
-  mutate_ties(weight = tie_closeness(fict_lotr),
+  mutate_ties(weight = tie_by_closeness(fict_lotr),
               is_tri = tie_is_triangular(fict_lotr)) %>% 
   graphr(edge_color = "is_tri")
 ```
@@ -444,7 +444,7 @@ such as in the following figure, or are absent.
 
 ```{r maxbet, exercise = TRUE, fig.width=9}
 fict_lotr %>% 
-  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %>% 
+  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %>% 
   graphr(node_color = "maxbet")
 ```
 
@@ -457,7 +457,7 @@ span multiple lines.
 
 ```{r legend, exercise=TRUE, fig.width=9}
 fict_lotr %>% 
-  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %>% 
+  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %>% 
   graphr(node_color = "maxbet") +
   guides(color = "legend") + 
   labs(color = "Maximum\nBetweenness")
@@ -519,7 +519,7 @@ FR offers a good baseline for most types of networks.
 
 The _Stress Minimisation_ (stress) method is related to the KK algorithm,
 but offers better runtime, quality, and stability and so is generally preferred.
-Indeed, `{manynet}` uses it as the default for most networks.
+Indeed, `{autograph}` uses it as the default for most networks.
 It has the advantage of returning the same layout each time it is run on the same network.
 
 ```{r layoutinterp-Q, echo=FALSE, purl = FALSE}
@@ -679,10 +679,10 @@ While the `grapht()` function is not as flexible as `graphr()`,
 it is very useful for visualising changes in networks over time.
   
 ```{r grapht, exercise=TRUE}
-fict_lotr %>%
-  mutate_ties(year = sample(1:12, 66, replace = TRUE)) %>%
-  to_waves(attribute = "year", cumulative = TRUE) %>%
-  grapht()
+# fict_lotr %>%
+  # mutate_ties(year = sample(1:12, 66, replace = TRUE)) %>%
+  # to_waves(attribute = "year", cumulative = TRUE) %>%
+  # grapht()
 ```
 
 More functionality will be added to this function in future releases.
@@ -772,11 +772,11 @@ Let's try this now with a few examples.
 
 ```{r plotexamples, exercise=TRUE, fig.width=9}
 stocnet_theme("default")
-plot(node_degree(fict_lotr)) + 
-plot(node_closeness(fict_lotr))
+plot(node_by_degree(fict_lotr)) + 
+plot(node_by_closeness(fict_lotr))
 stocnet_theme("oxf")
-plot(node_degree(fict_lotr)) + 
-plot(node_closeness(fict_lotr))
+plot(node_by_degree(fict_lotr)) + 
+plot(node_by_closeness(fict_lotr))
 ```
 
 This is a very simple example, but the same principle applies to
diff --git a/inst/tutorials/tutorial2/visualisation.html b/inst/tutorials/tutorial2/visualisation.html
index e1e4675..53ed537 100644
--- a/inst/tutorials/tutorial2/visualisation.html
+++ b/inst/tutorials/tutorial2/visualisation.html
@@ -13,7 +13,7 @@
 
 <meta name="progressive" content="false" />
 <meta name="allow-skip" content="false" />
-<meta name="learnr-version-prerender" content="0.11.5" />
+<meta name="learnr-version-prerender" content="0.11.6" />
 
 <title>Visualisation</title>
 
@@ -455,7 +455,7 @@ <h3>Sizing nodes</h3>
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
 <pre class="text"><code>fict_lotr %&gt;% 
-  mutate(Degree = node_deg(fict_lotr)) %&gt;% 
+  mutate(Degree = node_by_deg(fict_lotr)) %&gt;% 
   graphr(node_size = &quot;Degree&quot;)</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
@@ -475,7 +475,7 @@ <h3>Tying up loose ends</h3>
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
 <pre class="text"><code>fict_lotr %&gt;% 
-  mutate_ties(weight = tie_closeness(fict_lotr),
+  mutate_ties(weight = tie_by_closeness(fict_lotr),
               is_tri = tie_is_triangular(fict_lotr)) %&gt;% 
   graphr(edge_color = &quot;is_tri&quot;)</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
@@ -513,7 +513,10 @@ <h3>Who’s hue?</h3>
 nodes. Because the <code>graphr()</code> function is based on the
 grammar of graphics, it’s easy to extend or alter aesthetic aspects.
 Here let’s try and change the colors assigned to the different races in
-the <code>fict_lotr</code> dataset.</p>
+the <code>fict_lotr</code> dataset. Note that despite the argument being
+<code>node_color</code>, when overwriting the colors please use
+functions of the type <code>ggplot2::scale_fill_*()</code>, as it is the
+“fill” aesthetic that is being mapped to the variable in this case.</p>
 <div class="tutorial-exercise" data-label="colorch" data-completion="1"
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
@@ -522,11 +525,12 @@ <h3>Who’s hue?</h3>
 
 graphr(fict_lotr,
            node_color = &quot;Race&quot;) +
-  ggplot2::scale_colour_hue()</code></pre>
+  ggplot2::scale_fill_hue()</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
 <p>At this stage, it is worth noting that not everyone experiences
-colours in the same way. Some people are colour-blind, and so it is
+colours in the same way. Some people are colour-blind, whether by
+deuteranomaly, deuteranopia, protanomaly, or protanopia, and so it is
 worth checking that your visualisations are accessible to them.<a
 href="#section-fn6" class="footnote-ref"
 id="section-fnref6"><sup>6</sup></a> Others are less sensitive to colour
@@ -562,7 +566,7 @@ <h3>Grayscale</h3>
 data-lines="0" data-pipe="|&gt;">
 <pre class="text"><code>graphr(fict_lotr,
            node_color = &quot;Race&quot;) +
-  ggplot2::scale_colour_grey()</code></pre>
+  ggplot2::scale_fill_grey()</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
 <p>As you can see, grayscale is more effective for continuous variables
@@ -580,14 +584,14 @@ <h3>Manual override</h3>
 data-pipe="|&gt;">
 <pre class="text"><code>graphr(fict_lotr,
            node_color = &quot;Race&quot;) +
-  ggplot2::scale_colour_manual(
+  ggplot2::scale_fill_manual(
     values = c(&quot;Dwarf&quot; = &quot;red&quot;,
                &quot;Hobbit&quot; = &quot;orange&quot;,
                &quot;Maiar&quot; = &quot;#DEC20B&quot;,
                &quot;Human&quot; = &quot;lightblue&quot;,
                &quot;Elf&quot; = &quot;lightgreen&quot;,
                &quot;Ent&quot; = &quot;darkgreen&quot;)) +
-  labs(color = &quot;Color&quot;)</code></pre>
+  labs(fill = &quot;Color&quot;)</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
 </div>
@@ -651,7 +655,7 @@ <h3>Legends</h3>
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
 <pre class="text"><code>fict_lotr %&gt;% 
-  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %&gt;% 
+  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %&gt;% 
   graphr(node_color = &quot;maxbet&quot;)</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
@@ -665,7 +669,7 @@ <h3>Legends</h3>
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
 <pre class="text"><code>fict_lotr %&gt;% 
-  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %&gt;% 
+  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %&gt;% 
   graphr(node_color = &quot;maxbet&quot;) +
   guides(color = &quot;legend&quot;) + 
   labs(color = &quot;Maximum\nBetweenness&quot;)</code></pre>
@@ -732,7 +736,7 @@ <h3>Force-directed layouts</h3>
 baseline for most types of networks.</p>
 <p>The <em>Stress Minimisation</em> (stress) method is related to the KK
 algorithm, but offers better runtime, quality, and stability and so is
-generally preferred. Indeed, <code>{manynet}</code> uses it as the
+generally preferred. Indeed, <code>{autograph}</code> uses it as the
 default for most networks. It has the advantage of returning the same
 layout each time it is run on the same network.</p>
 <div class="panel panel-default tutorial-question-container">
@@ -909,10 +913,10 @@ <h3>Dynamics</h3>
 <div class="tutorial-exercise" data-label="grapht" data-completion="1"
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
-<pre class="text"><code>fict_lotr %&gt;%
-  mutate_ties(year = sample(1:12, 66, replace = TRUE)) %&gt;%
-  to_waves(attribute = &quot;year&quot;, cumulative = TRUE) %&gt;%
-  grapht()</code></pre>
+<pre class="text"><code># fict_lotr %&gt;%
+  # mutate_ties(year = sample(1:12, 66, replace = TRUE)) %&gt;%
+  # to_waves(attribute = &quot;year&quot;, cumulative = TRUE) %&gt;%
+  # grapht()</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
 <p>More functionality will be added to this function in future
@@ -1005,11 +1009,11 @@ <h2>Plotting</h2>
 data-completion="1" data-diagnostics="1" data-startover="1"
 data-lines="0" data-pipe="|&gt;">
 <pre class="text"><code>stocnet_theme(&quot;default&quot;)
-plot(node_degree(fict_lotr)) + 
-plot(node_closeness(fict_lotr))
+plot(node_by_degree(fict_lotr)) + 
+plot(node_by_closeness(fict_lotr))
 stocnet_theme(&quot;oxf&quot;)
-plot(node_degree(fict_lotr)) + 
-plot(node_closeness(fict_lotr))</code></pre>
+plot(node_by_degree(fict_lotr)) + 
+plot(node_by_closeness(fict_lotr))</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
 <p>This is a very simple example, but the same principle applies to all
@@ -1330,7 +1334,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "degsize", code = "fict_lotr %>% \n  mutate(Degree = node_deg(fict_lotr)) %>% \n  graphr(node_size = \"Degree\")", 
+    chunks = list(list(label = "degsize", code = "fict_lotr %>% \n  mutate(Degree = node_by_deg(fict_lotr)) %>% \n  graphr(node_size = \"Degree\")", 
         opts = list(label = "\"degsize\"", exercise = "TRUE", 
             fig.width = "9"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
@@ -1351,7 +1355,7 @@ <h2>Exporting plots to PDF</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "degsize", exercise = TRUE, 
-        code = c("fict_lotr %>% ", "  mutate(Degree = node_deg(fict_lotr)) %>% ", 
+        code = c("fict_lotr %>% ", "  mutate(Degree = node_by_deg(fict_lotr)) %>% ", 
         "  graphr(node_size = \"Degree\")"), out.width.px = 864, 
         out.height.px = 384, params.src = "degsize, exercise = TRUE, fig.width=9", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
@@ -1372,7 +1376,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "tiesize", code = "fict_lotr %>% \n  mutate_ties(weight = tie_closeness(fict_lotr),\n              is_tri = tie_is_triangular(fict_lotr)) %>% \n  graphr(edge_color = \"is_tri\")", 
+    chunks = list(list(label = "tiesize", code = "fict_lotr %>% \n  mutate_ties(weight = tie_by_closeness(fict_lotr),\n              is_tri = tie_is_triangular(fict_lotr)) %>% \n  graphr(edge_color = \"is_tri\")", 
         opts = list(label = "\"tiesize\"", exercise = "TRUE", 
             fig.width = "9"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
@@ -1393,7 +1397,7 @@ <h2>Exporting plots to PDF</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "tiesize", exercise = TRUE, 
-        code = c("fict_lotr %>% ", "  mutate_ties(weight = tie_closeness(fict_lotr),", 
+        code = c("fict_lotr %>% ", "  mutate_ties(weight = tie_by_closeness(fict_lotr),", 
         "              is_tri = tie_is_triangular(fict_lotr)) %>% ", 
         "  graphr(edge_color = \"is_tri\")"), out.width.px = 864, 
         out.height.px = 384, params.src = "tiesize, exercise = TRUE, fig.width=9", 
@@ -1457,7 +1461,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "colorch", code = "graphr(fict_lotr,\n           node_color = \"Race\")\n\ngraphr(fict_lotr,\n           node_color = \"Race\") +\n  ggplot2::scale_colour_hue()", 
+    chunks = list(list(label = "colorch", code = "graphr(fict_lotr,\n           node_color = \"Race\")\n\ngraphr(fict_lotr,\n           node_color = \"Race\") +\n  ggplot2::scale_fill_hue()", 
         opts = list(label = "\"colorch\"", exercise = "TRUE", 
             fig.width = "9"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
@@ -1480,9 +1484,9 @@ <h2>Exporting plots to PDF</h2>
         max.print = 1000, label = "colorch", exercise = TRUE, 
         code = c("graphr(fict_lotr,", "           node_color = \"Race\")", 
         "", "graphr(fict_lotr,", "           node_color = \"Race\") +", 
-        "  ggplot2::scale_colour_hue()"), out.width.px = 864, 
-        out.height.px = 384, params.src = "colorch, exercise=TRUE, fig.width=9", 
-        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+        "  ggplot2::scale_fill_hue()"), out.width.px = 864, out.height.px = 384, 
+        params.src = "colorch, exercise=TRUE, fig.width=9", fig.num = 0, 
+        exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
 )))
 </script>
@@ -1500,7 +1504,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "greyscale", code = "graphr(fict_lotr,\n           node_color = \"Race\") +\n  ggplot2::scale_colour_grey()", 
+    chunks = list(list(label = "greyscale", code = "graphr(fict_lotr,\n           node_color = \"Race\") +\n  ggplot2::scale_fill_grey()", 
         opts = list(label = "\"greyscale\"", exercise = "TRUE", 
             fig.width = "9"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
@@ -1522,7 +1526,7 @@ <h2>Exporting plots to PDF</h2>
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "greyscale", exercise = TRUE, 
         code = c("graphr(fict_lotr,", "           node_color = \"Race\") +", 
-        "  ggplot2::scale_colour_grey()"), out.width.px = 864, 
+        "  ggplot2::scale_fill_grey()"), out.width.px = 864, 
         out.height.px = 384, params.src = "greyscale, exercise=TRUE, fig.width=9", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
@@ -1542,7 +1546,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "mancolor", code = "graphr(fict_lotr,\n           node_color = \"Race\") +\n  ggplot2::scale_colour_manual(\n    values = c(\"Dwarf\" = \"red\",\n               \"Hobbit\" = \"orange\",\n               \"Maiar\" = \"#DEC20B\",\n               \"Human\" = \"lightblue\",\n               \"Elf\" = \"lightgreen\",\n               \"Ent\" = \"darkgreen\")) +\n  labs(color = \"Color\")", 
+    chunks = list(list(label = "mancolor", code = "graphr(fict_lotr,\n           node_color = \"Race\") +\n  ggplot2::scale_fill_manual(\n    values = c(\"Dwarf\" = \"red\",\n               \"Hobbit\" = \"orange\",\n               \"Maiar\" = \"#DEC20B\",\n               \"Human\" = \"lightblue\",\n               \"Elf\" = \"lightgreen\",\n               \"Ent\" = \"darkgreen\")) +\n  labs(fill = \"Color\")", 
         opts = list(label = "\"mancolor\"", exercise = "TRUE", 
             fig.width = "9"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
@@ -1564,10 +1568,10 @@ <h2>Exporting plots to PDF</h2>
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "mancolor", exercise = TRUE, 
         code = c("graphr(fict_lotr,", "           node_color = \"Race\") +", 
-        "  ggplot2::scale_colour_manual(", "    values = c(\"Dwarf\" = \"red\",", 
+        "  ggplot2::scale_fill_manual(", "    values = c(\"Dwarf\" = \"red\",", 
         "               \"Hobbit\" = \"orange\",", "               \"Maiar\" = \"#DEC20B\",", 
         "               \"Human\" = \"lightblue\",", "               \"Elf\" = \"lightgreen\",", 
-        "               \"Ent\" = \"darkgreen\")) +", "  labs(color = \"Color\")"
+        "               \"Ent\" = \"darkgreen\")) +", "  labs(fill = \"Color\")"
         ), out.width.px = 864, out.height.px = 384, params.src = "mancolor, exercise=TRUE, fig.width=9", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
@@ -1670,7 +1674,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "maxbet", code = "fict_lotr %>% \n  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %>% \n  graphr(node_color = \"maxbet\")", 
+    chunks = list(list(label = "maxbet", code = "fict_lotr %>% \n  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %>% \n  graphr(node_color = \"maxbet\")", 
         opts = list(label = "\"maxbet\"", exercise = "TRUE", 
             fig.width = "9"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
@@ -1691,7 +1695,7 @@ <h2>Exporting plots to PDF</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "maxbet", exercise = TRUE, 
-        code = c("fict_lotr %>% ", "  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %>% ", 
+        code = c("fict_lotr %>% ", "  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %>% ", 
         "  graphr(node_color = \"maxbet\")"), out.width.px = 864, 
         out.height.px = 384, params.src = "maxbet, exercise = TRUE, fig.width=9", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
@@ -1712,7 +1716,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "legend", code = "fict_lotr %>% \n  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %>% \n  graphr(node_color = \"maxbet\") +\n  guides(color = \"legend\") + \n  labs(color = \"Maximum\\nBetweenness\")", 
+    chunks = list(list(label = "legend", code = "fict_lotr %>% \n  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %>% \n  graphr(node_color = \"maxbet\") +\n  guides(color = \"legend\") + \n  labs(color = \"Maximum\\nBetweenness\")", 
         opts = list(label = "\"legend\"", exercise = "TRUE", 
             fig.width = "9"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
@@ -1733,7 +1737,7 @@ <h2>Exporting plots to PDF</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "legend", exercise = TRUE, 
-        code = c("fict_lotr %>% ", "  mutate(maxbet = node_is_max(node_betweenness(fict_lotr))) %>% ", 
+        code = c("fict_lotr %>% ", "  mutate(maxbet = node_is_max(node_by_betweenness(fict_lotr))) %>% ", 
         "  graphr(node_color = \"maxbet\") +", "  guides(color = \"legend\") + ", 
         "  labs(color = \"Maximum\\nBetweenness\")"), out.width.px = 864, 
         out.height.px = 384, params.src = "legend, exercise=TRUE, fig.width=9", 
@@ -1788,11 +1792,11 @@ <h2>Exporting plots to PDF</h2>
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "layoutinterp-Q", 
     question = structure("Can we interpret the distance between nodes in force-directed layouts conclusively?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_33a08e6", 
+    "character")), answers = list(structure(list(id = "lnr_ans_e953f30", 
         option = "No", value = "No", label = structure("No", html = TRUE, class = c("html", 
         "character")), correct = TRUE, message = structure("That’s right, they are illustrative and not to be used for hard conclusions.", html = TRUE, class = c("html", 
         "character")), type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_862c5d3", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_7986362", 
         option = "Yes", value = "Yes", label = structure("Yes", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
     "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
@@ -1803,7 +1807,7 @@ <h2>Exporting plots to PDF</h2>
     "character")), message = NULL, post_message = NULL), ids = list(
         answer = "layoutinterp-Q-answer", question = "layoutinterp-Q"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = TRUE, 
-    seed = 1884256885.12257, options = list()), class = c("learnr_radio", 
+    seed = 2015184456.06161, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
 
@@ -2014,10 +2018,10 @@ <h2>Exporting plots to PDF</h2>
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "spectralinterp-Q", 
     question = structure("Can we interpret the distance between nodes in spectral layouts?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_95a7fad", 
+    "character")), answers = list(structure(list(id = "lnr_ans_89edcec", 
         option = "No", value = "No", label = structure("No", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_bdeffa0", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_ea58ed9", 
         option = "Yes", value = "Yes", label = structure("Yes", html = TRUE, class = c("html", 
         "character")), correct = TRUE, message = structure("That’s right, though it is not always easy to do so…", html = TRUE, class = c("html", 
         "character")), type = "literal"), class = c("tutorial_question_answer", 
@@ -2029,7 +2033,7 @@ <h2>Exporting plots to PDF</h2>
     "character")), message = NULL, post_message = NULL), ids = list(
         answer = "spectralinterp-Q-answer", question = "spectralinterp-Q"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = TRUE, 
-    seed = 425189515.802006, options = list()), class = c("learnr_radio", 
+    seed = 923008407.070191, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
  
@@ -2166,7 +2170,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "grapht", code = "fict_lotr %>%\n  mutate_ties(year = sample(1:12, 66, replace = TRUE)) %>%\n  to_waves(attribute = \"year\", cumulative = TRUE) %>%\n  grapht()", 
+    chunks = list(list(label = "grapht", code = "# fict_lotr %>%\n  # mutate_ties(year = sample(1:12, 66, replace = TRUE)) %>%\n  # to_waves(attribute = \"year\", cumulative = TRUE) %>%\n  # grapht()", 
         opts = list(label = "\"grapht\"", exercise = "TRUE"), 
         engine = "r")), code_check = NULL, error_check = NULL, 
     check = NULL, solution = NULL, tests = NULL, options = list(
@@ -2186,9 +2190,9 @@ <h2>Exporting plots to PDF</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "grapht", exercise = TRUE, 
-        code = c("fict_lotr %>%", "  mutate_ties(year = sample(1:12, 66, replace = TRUE)) %>%", 
-        "  to_waves(attribute = \"year\", cumulative = TRUE) %>%", 
-        "  grapht()"), out.width.px = 624, out.height.px = 384, 
+        code = c("# fict_lotr %>%", "  # mutate_ties(year = sample(1:12, 66, replace = TRUE)) %>%", 
+        "  # to_waves(attribute = \"year\", cumulative = TRUE) %>%", 
+        "  # grapht()"), out.width.px = 624, out.height.px = 384, 
         params.src = "grapht, exercise=TRUE", fig.num = 0, exercise.df_print = "paged", 
         exercise.checker = "NULL"), engine = "r", version = "4"), class = c("r", 
 "tutorial_exercise")))
@@ -2255,7 +2259,7 @@ <h2>Exporting plots to PDF</h2>
 "library(autograph)", "stocnet_theme(\"default\")", "library(migraph)", 
 "library(patchwork)", "clear_glossary()", "knitr::opts_chunk$set(echo = FALSE)"
 ), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, 
-    chunks = list(list(label = "plotexamples", code = "stocnet_theme(\"default\")\nplot(node_degree(fict_lotr)) + \nplot(node_closeness(fict_lotr))\nstocnet_theme(\"oxf\")\nplot(node_degree(fict_lotr)) + \nplot(node_closeness(fict_lotr))", 
+    chunks = list(list(label = "plotexamples", code = "stocnet_theme(\"default\")\nplot(node_by_degree(fict_lotr)) + \nplot(node_by_closeness(fict_lotr))\nstocnet_theme(\"oxf\")\nplot(node_by_degree(fict_lotr)) + \nplot(node_by_closeness(fict_lotr))", 
         opts = list(label = "\"plotexamples\"", exercise = "TRUE", 
             fig.width = "9"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
@@ -2276,9 +2280,9 @@ <h2>Exporting plots to PDF</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "plotexamples", exercise = TRUE, 
-        code = c("stocnet_theme(\"default\")", "plot(node_degree(fict_lotr)) + ", 
-        "plot(node_closeness(fict_lotr))", "stocnet_theme(\"oxf\")", 
-        "plot(node_degree(fict_lotr)) + ", "plot(node_closeness(fict_lotr))"
+        code = c("stocnet_theme(\"default\")", "plot(node_by_degree(fict_lotr)) + ", 
+        "plot(node_by_closeness(fict_lotr))", "stocnet_theme(\"oxf\")", 
+        "plot(node_by_degree(fict_lotr)) + ", "plot(node_by_closeness(fict_lotr))"
         ), out.width.px = 864, out.height.px = 384, params.src = "plotexamples, exercise=TRUE, fig.width=9", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
@@ -2287,12 +2291,12 @@ <h2>Exporting plots to PDF</h2>
 </p>
 <!--html_preserve-->
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(todo o progresso feito será perdido)\",\"youmustcomplete\":\"Você deve completar\",\"exercise\":\"o exercício\",\"exercise_plural\":\"os exercícios\",\"inthissection\":\"nesta seção antes de continuar.\",\"code\":\"Código\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Quiz\",\"and\":\"e\",\"or\":\"ou\",\"oxfordcomma\":\"\"}}},\"tr\":{\"translation\":{\"button\":{\"runcode\":\"Çalıştırma Kodu\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Ipucu\",\"hint_plural\":\"İpuçları\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Sonraki İpucu\",\"hintprev\":\"Önceki İpucu\",\"solution\":\"Çözüm\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Pano'ya Kopyala\",\"startover\":\"Baştan Başlamak\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Devam et\",\"submitanswer\":\"Cevabı onayla\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Önceki Konu\",\"nexttopic\":\"Sonraki Konu\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Tekrar Deneyin\"},\"text\":{\"startover\":\"Baştan Başlamak\",\"areyousure\":\"Baştan başlamak istediğinizden emin misiniz? (tüm egzersiz ilerlemesi kaybolacak)\",\"youmustcomplete\":\"Tamamlamalısın\",\"exercise\":\"egzersiz\",\"exercise_plural\":\"egzersizler\",\"inthissection\":\"devam etmeden önce bu bölümde\",\"code\":\"Kod\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Sınav\",\"oxfordcomma\":\"\"}}},\"emo\":{\"translation\":{\"button\":{\"runcode\":\"🏃\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"💡\",\"hint_plural\":\"$t(button.hint)\",\"hinttitle\":\"$t(button.hint)\",\"solution\":\"🎯\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"📋\",\"startover\":\"⏮\",\"startovertitle\":\"Start Over\",\"continue\":\"✅\",\"submitanswer\":\"🆗\",\"submitanswertitle\":\"Submit Answer\",\"previoustopic\":\"⬅\",\"nexttopic\":\"➡\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"🔁\"},\"text\":{\"startover\":\"⏮\",\"areyousure\":\"🤔\",\"youmustcomplete\":\"⚠️ 👉 🧑‍💻\",\"exercise\":\"\",\"exercise_plural\":\"\",\"inthissection\":\"\",\"code\":\"💻\",\"enginecap\":\"$t(text.code) {{engine}}\",\"oxfordcomma\":\"\"}}},\"eu\":{\"translation\":{\"button\":{\"runcode\":\"Kodea egikaritu\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Laguntza\",\"hint_plural\":\"Laguntza\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Aurreko laguntza\",\"hintprev\":\"Hurrengo laguntza\",\"solution\":\"Ebazpena\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Arbelean kopiatu\",\"startover\":\"Berrabiarazi\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Jarraitu\",\"submitanswer\":\"Erantzuna bidali\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Aurreko atala\",\"nexttopic\":\"Hurrengo atala\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Berriro saiatu\"},\"text\":{\"startover\":\"Berrabiarazi\",\"areyousure\":\"Berriro hasi nahi duzu? (egindako lana galdu egingo da)\",\"youmustcomplete\":\"Aurrera egin baino lehen atal honetako\",\"exercise\":\"ariketa egin behar duzu.\",\"exercise_plural\":\"ariketak egin behar dituzu.\",\"inthissection\":\"\",\"code\":\"Kodea\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Galdetegia\",\"oxfordcomma\":\"\"}}},\"de\":{\"translation\":{\"button\":{\"runcode\":\"Code ausführen\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Tipp\",\"hint_plural\":\"Tipps\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Nächster Tipp\",\"hintprev\":\"Vorheriger Tipp\",\"solution\":\"Lösung\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"In die Zwischenablage kopieren\",\"startover\":\"Neustart\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Weiter\",\"submitanswer\":\"Antwort einreichen\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Vorheriges Kapitel\",\"nexttopic\":\"Nächstes Kapitel\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Nochmal versuchen\"},\"text\":{\"startover\":\"Neustart\",\"areyousure\":\"Bist du sicher, dass du neustarten willst? (der gesamte Lernfortschritt wird gelöscht)\",\"youmustcomplete\":\"Vervollstädinge\",\"exercise\":\"die Übung\",\"exercise_plural\":\"die Übungen\",\"inthissection\":\"in diesem Kapitel, bevor du fortfährst.\",\"code\":\"Code\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Quiz\",\"blank\":\"Lücke\",\"blank_plural\":\"Lücken\",\"pleasereplaceblank\":\"Bitte ersetze {{blank}} mit gültigem Code.\",\"unparsable\":\"Dies scheint kein gültiger R Code zu sein. R kann deinen Text nicht in einen gültigen Befehl übersetzen. Du hast vielleicht vergessen, die Lücke zu füllen, einen Unterstrich zu entfernen, ein Komma zwischen Argumente zu setzen oder ein eröffnendes <code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code> oder <code>{<\\/code> mit einem zugehörigen <code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code> oder <code>}<\\/code> zu schließen.\\n\",\"and\":\"und\",\"or\":\"oder\",\"listcomma\":\", \",\"oxfordcomma\":\",\"}}},\"ko\":{\"translation\":{\"button\":{\"runcode\":\"코드 실행\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"힌트\",\"hint_plural\":\"힌트들\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"다음 힌트\",\"hintprev\":\"이전 힌트\",\"solution\":\"솔루션\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"클립보드에 복사\",\"startover\":\"재학습\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"다음 학습으로\",\"submitanswer\":\"정답 제출\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"이전 토픽\",\"nexttopic\":\"다음 토픽\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"재시도\"},\"text\":{\"startover\":\"재학습\",\"areyousure\":\"다시 시작 하시겠습니까? (모든 예제의 진행 정보가 재설정됩니다)\",\"youmustcomplete\":\"당신은 완료해야 합니다\",\"exercise\":\"연습문제\",\"exercise_plural\":\"연습문제들\",\"inthissection\":\"이 섹션을 실행하기 전에\",\"code\":\"코드\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"퀴즈\",\"blank\":\"공백\",\"blank_plural\":\"공백들\",\"exercisecontainsblank\":\"이 연습문제에는 {{count}}개의 $t(text.blank)이 포함되어 있습니다.\",\"pleasereplaceblank\":\"{{blank}}를 유효한 코드로 바꾸십시오.\",\"unparsable\":\"이것은 유효한 R 코드가 아닐 수 있습니다. R은 텍스트를 완전한 명령으로 변환하는 방법을 결정할 수 없습니다. 당신은 공백이나 밑줄을 대체하여 채우기, 인수를 컴마로 구분하기, 또는 <code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code> , <code>{<\\/code>로 시작하는 구문을 닫는 <code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code>, <code>}<\\/code>을 잊었을 수도 있습니다.\\n\",\"and\":\"그리고\",\"or\":\"혹은\",\"listcomma\":\", \",\"oxfordcomma\":\"\"}}},\"zh\":{\"translation\":{\"button\":{\"runcode\":\"运行代码\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"提示\",\"hint_plural\":\"提示\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"下一个提示\",\"hintprev\":\"上一个提示\",\"solution\":\"答案\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"复制到剪切板\",\"startover\":\"重新开始\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"继续\",\"submitanswer\":\"提交答案\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"上一专题\",\"nexttopic\":\"下一专题\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"再试一次\"},\"text\":{\"startover\":\"重置\",\"areyousure\":\"你确定要重新开始吗? (所有当前进度将被重置)\",\"youmustcomplete\":\"你必须完成\",\"exercise\":\"练习\",\"exercise_plural\":\"练习\",\"inthissection\":\"在进行本节之前\",\"code\":\"代码\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"测试\",\"blank\":\"空\",\"blank_plural\":\"空\",\"exercisecontainsblank\":\"本练习包含{{count}}个$t(text.blank)\",\"pleasereplaceblank\":\"请在{{blank}}内填写恰当的代码\",\"unparsable\":\"这似乎不是有效的R代码。 R不知道如何将您的文本转换为完整的命令。 您是否忘了填空，忘了删除下划线，忘了在参数之间包含逗号，或者是忘了用<code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code>,<code>}<\\/code>来封闭<code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code>。 or <code>{<\\/code>。\\n\",\"unparsablequotes\":\"<p>您的R代码中似乎含有特殊格式的引号，或者弯引号(<code>{{character}}<\\/code>) 在字符串前后，在R中字符串应该被直引号(<code>&quot;<\\/code> 或者 <code>'<\\/code>)包裹。<\\/p> {{code}} <p>别担心，该错误经常在复制粘贴包含格式的代码时遇到， 您可以尝试将该行中的代码替换为以下代码，也许还有其他地方需要修改。<\\/p> {{suggestion}}\\n\",\"unparsableunicode\":\"<p>您的代码中似乎包含有异常字符(<code>{{character}}<\\/code>),导致代码无效。<\\/p> {{code}} <p>有时候你的代码可能含有看似正常字符的特殊字符，特别是当你复制粘贴其他来源代码的时候。 请试着删除这些特殊字符,重新输入<\\/p>\\n\",\"unparsableunicodesuggestion\":\"<p>您的代码中似乎包含有异常字符(<code>{{character}}<\\/code>),导致代码无效。<\\/p> {{code}} <p>有时候你的代码可能含有看似正常字符的特殊字符，特别是当你复制粘贴其他来源代码的时候。 请试着删除这些特殊字符,重新输入<\\/p>\\n\",\"and\":\"且\",\"or\":\"或\",\"listcomma\":\",\",\"oxfordcomma\":\",\"}}},\"pl\":{\"translation\":{\"button\":{\"runcode\":\"Uruchom kod\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Podpowiedź\",\"hint_plural\":\"Podpowiedzi\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Następna podpowiedź\",\"hintprev\":\"Poprzednia podpowiedź\",\"solution\":\"Rozwiązanie\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Kopiuj do schowka\",\"startover\":\"Zacznij od początku\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Kontynuuj\",\"submitanswer\":\"Wyślij\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Poprzednia sekcja\",\"nexttopic\":\"Następna sekcja\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Spróbuj ponownie\"},\"text\":{\"startover\":\"Zacznij od początku\",\"areyousure\":\"Czy na pewno chcesz zacząć od początku? (cały postęp w zadaniu zostanie utracony)\",\"youmustcomplete\":\"Musisz ukończyć\",\"exercise\":\"ćwiczenie\",\"exercise_plural\":\"ćwiczenia\",\"inthissection\":\"w tej sekcji przed kontynuowaniem\",\"code\":\"Kod\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Quiz\",\"blank\":\"luka\",\"blank_plural\":\"luk(i)\",\"exercisecontainsblank\":\"To ćwiczenie zawiera {{count}} $t(text.blank).\",\"pleasereplaceblank\":\"Proszę uzupełnić {{blank}} prawidłowym kodem.\",\"unparsable\":\"Wygląda na to, że może to nie być prawidłowy kod R. R nie jest w stanie przetworzyć Twojego tekstu na polecenie. Mogłeś(-aś) zapomnieć wypełnić luki, usunąć podkreślnik, umieścić przecinka między argumentami, lub zamknąć znak <code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code> lub <code>{<\\/code> odpowiadającym <code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code> lub <code>}<\\/code>.\\n\",\"unparsablequotes\":\"<p>Wygląda na to, że Twój kod zawiera szczególnie sformatowane cudzysłowy lub cudzysłowy typograficzne (<code>{{character}}<\\/code>) przy ciągach znaków, co sprawia, że kod jest niepoprawny. R wymaga cudzysłowów prostych (<code>&quot;<\\/code> albo <code>'<\\/code>).<\\/p> {{code}} <p>Nie martw się, to powszechne źródło błędów, gdy kopiuje się kod z innego programu, który sam formatuje teskt. Możesz spróbować zastąpić swój kod następującym kodem. Mogą być też inne miejsca, które wymagają poprawienia.<\\/p> {{suggestion}}\\n\",\"unparsableunicode\":\"<p>Wygląda na to, że Twój kod zawiera niespodziewany znak specjalny (<code>{{character}}<\\/code>), co sprawia, że kod jest niepoprawny.<\\/p> {{code}} <p>Czasami Twój kod może zawierać znak specjalny, który wygląda jak zwykły znak, zwłaszcza jeśli kopiujesz kod z innego programu. Spróbuj usunąć znak specjalny i wpisać do ponownie ręcznie.<\\/p>\\n\",\"unparsableunicodesuggestion\":\"<p>Wygląda na to, że Twój kod zawiera niespodziewany znak specjalny (<code>{{character}}<\\/code>), co sprawia, że kod jest niepoprawny.<\\/p> {{code}} <p>Czasami Twój kod może zawierać znak specjalny, który wygląda jak zwykły znak, zwłaszcza jeśli kopiujesz kod z innego programu. Możesz spróbować zastąpić swój kod następującym kodem. Mogą być też inne miejsca, które wymagają poprawienia.<\\/p> {{suggestion}}\\n\",\"and\":\"i\",\"or\":\"lub\",\"listcomma\":\", \",\"oxfordcomma\":\"\"}}},\"no\":{\"translation\":{\"button\":{\"runcode\":\"Kjør kode\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Hint\",\"hint_plural\":\"Hint\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Neste hint\",\"hintprev\":\"Forrige hint\",\"solution\":\"Løsning\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Kopier til utklippstavle\",\"startover\":\"Start på nytt\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Fortsett\",\"submitanswer\":\"Send inn svar\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Forrige tema\",\"nexttopic\":\"Neste tema\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Prøv igjen\"},\"text\":{\"startover\":\"Start på nytt\",\"areyousure\":\"Er du sikker på at du vil starte på nytt? (All fremgang vil bli slettet)\",\"youmustcomplete\":\"Du må fullføre\",\"exercise\":\"oppgave\",\"exercise_plural\":\"oppgaver\",\"inthissection\":\"i denne seksjonen før du fortsetter.\",\"code\":\"kode\",\"enginecap\":\"{{engine}}-$t(text.code)\",\"quiz\":\"Quiz\",\"blank\":\"tomrom\",\"blank_plural\":\"tomrom\",\"exercisecontainsblank\":\"Denne oppgaven inneholder {{count}} $t(text.blank).\",\"pleasereplaceblank\":\"Erstatt {{blank}} med gyldig kode.\",\"unparsable\":\"Dette ser ikke ut til å være gyldig R-kode. Slik R ser det, utgjør ikke teksten en fullstendig kommando. Du kan ha glemt å fylle ut en luke, å fjerne en understrek, å inkludere et komma mellom argumenter, eller å lukke et åpnende <code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code> eller <code>{<\\/code> med et tilsvarende <code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code> eller <code>}<\\/code>.\\n\",\"unparsablequotes\":\"<p>Det ser ut som om R-koden din inneholder spesielt formaterte anførselstegn eller &quot;krøllete&quot; anførselstegn (<code>{{character}}<\\/code>) rundt tekststrenger, noe som gjør koden din ugyldig. R krever at tekstverdier skal være inneholdt i rette anførselstegn (<code>&quot;<\\/code> eller <code>'<\\/code>).<\\/p> {{code}} <p>Dette er et vanlig problem når du kopierer kode fra et annet program som bruker sin egen formatering på tekst.  Du kan prøve å erstatte koden i den linjen med følgende. 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From a0f82c8e641a21b2e161b943cb20de8dda9e195b Mon Sep 17 00:00:00 2001
From: James Hollway <james.hollway@graduateinstitute.ch>
Date: Thu, 30 Apr 2026 08:19:48 +0200
Subject: [PATCH 3/6] Fixed the error in some flavours by removing environment
 references in included objects

---
 .Rbuildignore            |   2 ++
 .gitignore               |   1 +
 DESCRIPTION              |   4 ++--
 NEWS.md                  |  11 +++++++++++
 cran-comments.md         |   2 +-
 data/ergm_res.rda        | Bin 14613 -> 14647 bytes
 man/autograph-package.Rd |   2 +-
 7 files changed, 18 insertions(+), 4 deletions(-)

diff --git a/.Rbuildignore b/.Rbuildignore
index fb10167..03158ed 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -18,3 +18,5 @@ vignettes/precompile\.R
 ^CRAN-SUBMISSION$
 ^README\.Rmd$
 ^.mailmap$
+^\.positai$
+^\.claude$
diff --git a/.gitignore b/.gitignore
index 02df9f1..580f8ab 100644
--- a/.gitignore
+++ b/.gitignore
@@ -15,3 +15,4 @@ CRAN-SUBMISSION
 toadd/*
 .data.csv
 cache/*
+.positai
diff --git a/DESCRIPTION b/DESCRIPTION
index 22f6729..3b6d637 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: autograph
 Title: Automatic Plotting and Theming of Many Graphs
-Version: 1.0.0
-Date: 2026-04-04
+Version: 1.0.1
+Date: 2026-04-30
 Description: Visual exploration and presentation of networks should not be difficult.
    This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults.
    It includes 'ggplot2'-based plot methods for many popular network package classes.
diff --git a/NEWS.md b/NEWS.md
index bce881c..485d543 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,14 @@
+# autograph 1.0.1
+
+## Package
+
+- Updated the logo
+- Fixed the error in some flavours by removing environment references in included objects
+
+## Tutorials
+
+- Fixed the tutorial to use netrics functions
+
 # autograph 1.0.0
 
 ## Package
diff --git a/cran-comments.md b/cran-comments.md
index 8d0c337..35c6582 100644
--- a/cran-comments.md
+++ b/cran-comments.md
@@ -9,4 +9,4 @@
 
 0 errors | 0 warnings | 0 notes
 
-- Updates to bring autograph into line with latest version of manynet (> v2.0.0)
+- Fixed the error in some flavours by removing environment references in included objects
diff --git a/data/ergm_res.rda b/data/ergm_res.rda
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diff --git a/man/autograph-package.Rd b/man/autograph-package.Rd
index 1ed7c45..ed75f9e 100644
--- a/man/autograph-package.Rd
+++ b/man/autograph-package.Rd
@@ -12,7 +12,7 @@ Visual exploration and presentation of networks should not be difficult. This pa
 }
 \details{
 For more details, please consult the README and work through the tutorial.
-The tutorial can be run locally using \code{run_tute("visualisation")}.
+The tutorial can be run locally using \code{migraph::run_tute("visualisation")}.
 }
 \seealso{
 Useful links:

From 1ccf897f5e98d07a60b90b4f3c1ae3b2ff260576 Mon Sep 17 00:00:00 2001
From: James Hollway <james.hollway@graduateinstitute.ch>
Date: Thu, 30 Apr 2026 08:29:32 +0200
Subject: [PATCH 4/6] Closed #44 by adding example that uses
 `ggplot2::scale_color_discrete()` to tweak colour output

---
 NEWS.md            | 4 ++++
 R/plot_interp.R    | 1 +
 man/plot_interp.Rd | 1 +
 3 files changed, 6 insertions(+)

diff --git a/NEWS.md b/NEWS.md
index 485d543..c9ffa82 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -5,6 +5,10 @@
 - Updated the logo
 - Fixed the error in some flavours by removing environment references in included objects
 
+## Plotting
+
+- Closed #44 by adding example that uses `ggplot2::scale_color_discrete()` to tweak colour output
+
 ## Tutorials
 
 - Fixed the tutorial to use netrics functions
diff --git a/R/plot_interp.R b/R/plot_interp.R
index 4c2288d..14a7f47 100644
--- a/R/plot_interp.R
+++ b/R/plot_interp.R
@@ -37,6 +37,7 @@ NULL
 #'   Use `quad = FALSE` for similarity effects.
 #' @examples
 #' plot(siena_selection)
+#' plot(siena_selection) + ggplot2::scale_colour_discrete()
 #' @export
 plot.selectionTable <- function(x, quad = TRUE, separation = 0, ...){
 
diff --git a/man/plot_interp.Rd b/man/plot_interp.Rd
index a07e24b..019fc7e 100644
--- a/man/plot_interp.Rd
+++ b/man/plot_interp.Rd
@@ -46,6 +46,7 @@ for use in the \code{{autograph}} package.
 }
 \examples{
 plot(siena_selection)
+plot(siena_selection) + ggplot2::scale_colour_discrete()
 plot(siena_influence)
 }
 \references{

From 34a9f52320f2b717825ea891f7f6903bd4744a73 Mon Sep 17 00:00:00 2001
From: James Hollway <james.hollway@graduateinstitute.ch>
Date: Thu, 30 Apr 2026 08:40:14 +0200
Subject: [PATCH 5/6] Update NEWS.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
---
 NEWS.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/NEWS.md b/NEWS.md
index c9ffa82..7994ce9 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -7,7 +7,7 @@
 
 ## Plotting
 
-- Closed #44 by adding example that uses `ggplot2::scale_color_discrete()` to tweak colour output
+- Closed #44 by adding example that uses `ggplot2::scale_colour_discrete()` to tweak colour output
 
 ## Tutorials
 

From c2ee23c36ae094989566bce5a9b39e69c151de07 Mon Sep 17 00:00:00 2001
From: James Hollway <james.hollway@graduateinstitute.ch>
Date: Thu, 30 Apr 2026 08:40:53 +0200
Subject: [PATCH 6/6] Update man/autograph-package.Rd

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
---
 man/autograph-package.Rd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/man/autograph-package.Rd b/man/autograph-package.Rd
index ed75f9e..ba7fe88 100644
--- a/man/autograph-package.Rd
+++ b/man/autograph-package.Rd
@@ -12,7 +12,7 @@ Visual exploration and presentation of networks should not be difficult. This pa
 }
 \details{
 For more details, please consult the README and work through the tutorial.
-The tutorial can be run locally using \code{migraph::run_tute("visualisation")}.
+The tutorial is available in the package documentation and on the package website.
 }
 \seealso{
 Useful links: