diff --git a/plots/network-weighted/implementations/highcharts.py b/plots/network-weighted/implementations/highcharts.py
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+++ b/plots/network-weighted/implementations/highcharts.py
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+""" pyplots.ai
+network-weighted: Weighted Network Graph with Edge Thickness
+Library: highcharts unknown | Python 3.13.11
+Quality: 90/100 | Created: 2026-01-08
+"""
+
+import json
+import tempfile
+import time
+import urllib.request
+from pathlib import Path
+
+import numpy as np
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+
+
+# Data: Research collaboration network between university departments
+np.random.seed(42)
+
+# Departments (nodes)
+departments = [
+ {"id": "CS", "name": "Computer Science"},
+ {"id": "MATH", "name": "Mathematics"},
+ {"id": "PHYS", "name": "Physics"},
+ {"id": "STAT", "name": "Statistics"},
+ {"id": "EE", "name": "Electrical Eng."},
+ {"id": "ME", "name": "Mechanical Eng."},
+ {"id": "BIO", "name": "Biology"},
+ {"id": "CHEM", "name": "Chemistry"},
+ {"id": "ECON", "name": "Economics"},
+ {"id": "PSYCH", "name": "Psychology"},
+ {"id": "MED", "name": "Medicine"},
+ {"id": "ENV", "name": "Environmental Sci."},
+]
+
+# Collaboration edges with weights (number of joint publications)
+edges = [
+ ("CS", "MATH", 45),
+ ("CS", "STAT", 38),
+ ("CS", "EE", 52),
+ ("CS", "PHYS", 22),
+ ("MATH", "STAT", 41),
+ ("MATH", "PHYS", 35),
+ ("MATH", "ECON", 18),
+ ("PHYS", "EE", 28),
+ ("PHYS", "CHEM", 25),
+ ("STAT", "ECON", 32),
+ ("STAT", "PSYCH", 24),
+ ("STAT", "BIO", 19),
+ ("EE", "ME", 33),
+ ("BIO", "CHEM", 47),
+ ("BIO", "MED", 55),
+ ("CHEM", "ENV", 29),
+ ("MED", "PSYCH", 21),
+ ("MED", "BIO", 55),
+ ("ENV", "BIO", 26),
+ ("ECON", "PSYCH", 15),
+]
+
+# Calculate weighted degree for node sizing
+weighted_degree = {d["id"]: 0 for d in departments}
+for src, tgt, w in edges:
+ weighted_degree[src] += w
+ weighted_degree[tgt] += w
+
+# Normalize for marker size (bigger nodes = more collaborations)
+max_degree = max(weighted_degree.values())
+min_degree = min(weighted_degree.values())
+
+# Colors for nodes - colorblind-safe palette
+colors = [
+ "#306998",
+ "#FFD43B",
+ "#9467BD",
+ "#17BECF",
+ "#8C564B",
+ "#E377C2",
+ "#7F7F7F",
+ "#BCBD22",
+ "#1F77B4",
+ "#FF7F0E",
+ "#2CA02C",
+ "#D62728",
+]
+
+# Create nodes for Highcharts networkgraph
+nodes_data = []
+for i, dept in enumerate(departments):
+ deg = weighted_degree[dept["id"]]
+ # Scale marker size between 50 and 120 based on weighted degree
+ marker_size = 50 + 70 * (deg - min_degree) / (max_degree - min_degree)
+ nodes_data.append(
+ {"id": dept["id"], "name": dept["name"], "marker": {"radius": marker_size}, "color": colors[i % len(colors)]}
+ )
+
+# Create links with width based on weight
+# Scale line width between 4 and 24 based on weight
+min_weight = min(w for _, _, w in edges)
+max_weight = max(w for _, _, w in edges)
+
+links_data = []
+for src, tgt, weight in edges:
+ width = 4 + 20 * (weight - min_weight) / (max_weight - min_weight)
+ links_data.append({"from": src, "to": tgt, "width": round(width, 1)})
+
+# Convert links and nodes to JSON for embedding
+links_json = json.dumps(links_data)
+nodes_json = json.dumps(nodes_data)
+
+# Download Highcharts JS and networkgraph module
+highcharts_url = "https://code.highcharts.com/highcharts.js"
+networkgraph_url = "https://code.highcharts.com/modules/networkgraph.js"
+
+with urllib.request.urlopen(highcharts_url, timeout=30) as response:
+ highcharts_js = response.read().decode("utf-8")
+
+with urllib.request.urlopen(networkgraph_url, timeout=30) as response:
+ networkgraph_js = response.read().decode("utf-8")
+
+# Generate HTML with inline scripts, weight legend, and custom link width rendering
+html_content = f"""
+
+
+
+
+
+
+
+
+
+
+
Edge Weight (Publications)
+
+
+
{min_weight} publications
+
+
+
+
~{(min_weight + max_weight) // 2} publications
+
+
+
+
{max_weight} publications
+
+