fixed igrph section of the notebook

openaire · Mar 20, 2024 · 0989dda · 0989dda
1 parent 03967aa
commit 0989dda
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Showing 2 changed files with 67 additions and 11 deletions.
diff --git a/.DS_Store b/.DS_Store
diff --git a/notebooks/beginners_kit.ipynb b/notebooks/beginners_kit.ipynb
@@ -950,7 +950,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Results can modeled as graph and analysed."
+    "Results can be modeled as a graph and analysed. Let's try doing so with igraph and feed it with country couples and the number of coparticipated projects."
    ]
   },
   {
@@ -968,6 +968,13 @@
     "    directed=False)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's find the number of nodes in the graph."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -977,6 +984,13 @@
     "G.vcount()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now, let's find the number of edges."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -986,6 +1000,13 @@
     "G.ecount()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A generic node can be inspected like so"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -995,6 +1016,13 @@
     "G.vs[0]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Instead, a generic edge can be inspected with"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -1004,15 +1032,32 @@
     "G.es[0]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ok. Let's try to plot something. The whole network looks like this."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
-    "fig, ax = plt.subplots()\n",
-    "ig.plot(G, vertex_label=G.vs['countrycode'], target=ax)"
+    "import numpy as np\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "max_w = np.max(G.es['weight'])\n",
+    "ig.plot(G, vertex_label=G.vs['countrycode'], vertex_size=10, edge_width=2, edge_color='gray', target=ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now, let's filter by country, say Italy (i.e., IT)"
    ]
   },
   {
@@ -1021,7 +1066,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "G.vs.find(countrycode_eq = 'MY') # maldives"
+    "H = G.induced_subgraph(G.neighborhood(G.vs.find(countrycode_eq = 'IT')))\n",
+    "H.summary()"
    ]
   },
   {
@@ -1030,8 +1076,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "H = G.induced_subgraph(G.neighborhood(50))\n",
-    "H.summary()"
+    "H.vs['color'] = 'blue'\n",
+    "H.vs.find(countrycode_eq = 'IT')['color'] = 'red'\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ig.plot(H, vertex_label=H.vs['countrycode'], vertex_size=30, edge_width=2, edge_color='gray',target=ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Still a lot of collaborations there. Let's plot a country with less collaborations, say Maldives (i.e., MV)."
    ]
   },
   {
@@ -1040,10 +1095,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "H.vs['color'] = 'grey'\n",
-    "H.vs[0]['color'] = 'red'\n",
-    "fig, ax = plt.subplots()\n",
-    "ig.plot(H, target=ax)"
+    "H = G.induced_subgraph(G.neighborhood(G.vs.find(countrycode_eq = 'MV'))) # Maldives\n",
+    "H.summary()"
    ]
   },
   {
@@ -1052,7 +1105,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "G.transitivity_local_undirected(50)"
+    "H.vs['color'] = 'blue'\n",
+    "H.vs.find(countrycode_eq = 'MV')['color'] = 'red'\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ig.plot(H, vertex_label=H.vs['countrycode'], vertex_size=30, edge_width=2, edge_color='gray',target=ax)"
    ]
   },
   {