| |
| """Generate a self-contained interactive co-authorship graph (D3 force layout). |
| |
| Nodes are authors (size + color by number of papers in the vault); edges are |
| co-authorships (width by number of papers shared). Filtered to authors with at |
| least --min-papers papers, and edges only between kept authors. One HTML file, |
| D3 from CDN; drag, scroll-zoom, hover a node for the name (the biggest hubs are |
| labelled always). |
| |
| python3 _scripts/make_author_graph.py # >=3 papers -> reports/author-graph.html |
| python3 _scripts/make_author_graph.py --min-papers 5 --out reports/authors5.html |
| python3 _scripts/make_author_graph.py --embed --out graph.html # header stripped, for <iframe> |
| |
| Companion to make_graph.py (the idea/paper stance graph); publishing recipe and |
| the HF-Space upload gotcha are in skills/visualize-graph/SKILL.md. |
| """ |
| import argparse |
| import glob |
| import json |
| import os |
| import re |
| from collections import Counter |
| from itertools import combinations |
|
|
| VAULT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) |
|
|
|
|
| def build(min_papers): |
| paper_authors = [] |
| for f in glob.glob(os.path.join(VAULT, "papers", "*.md")): |
| m = re.search(r"^authors:\s*\[(.*)\]", open(f, encoding="utf-8").read(), re.M) |
| if m: |
| paper_authors.append(re.findall(r"\[\[(.+?)\]\]", m.group(1))) |
| cnt = Counter(a for auth in paper_authors for a in auth) |
| keep = {a for a, c in cnt.items() if c >= min_papers} |
| ew = Counter() |
| for auth in paper_authors: |
| kept = sorted(a for a in auth if a in keep) |
| for x, y in combinations(kept, 2): |
| ew[(x, y)] += 1 |
| nodes = [{"id": a, "label": a, "n": cnt[a]} for a in sorted(keep, key=lambda a: -cnt[a])] |
| links = [{"source": x, "target": y, "w": w} for (x, y), w in ew.items()] |
| return {"nodes": nodes, "links": links, "maxn": max(cnt[a] for a in keep) if keep else 1} |
|
|
|
|
| HEADER = '''<div id="hd"><h1>{title}</h1> |
| <p>Authors with at least {min} papers in the corpus; links are co-authorships (thicker = more papers together). Node size and shade track paper count. Drag, scroll to zoom, hover for a name.</p></div> |
| ''' |
|
|
| TEMPLATE = '''<!doctype html> |
| <html lang="en"><head> |
| <meta charset="utf-8"/><meta name="viewport" content="width=device-width,initial-scale=1"/> |
| <title>{title}</title> |
| <script src="https://cdn.jsdelivr.net/npm/d3@7/dist/d3.min.js"></script> |
| <style> |
| :root{{--bg:#fbfaf8;--ink:#1a1a1f;--muted:#6b6b78;--line:#e7e4de;}} |
| *{{box-sizing:border-box}} html,body{{margin:0;height:100%}} |
| body{{background:var(--bg);color:var(--ink);font:15px/1.5 -apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,sans-serif;overflow:hidden}} |
| #hd{{position:fixed;top:0;left:0;right:0;padding:14px 20px;z-index:5;pointer-events:none}} |
| #hd h1{{font:600 19px/1.2 Georgia,serif;margin:0}} |
| #hd p{{margin:3px 0 0;color:var(--muted);font-size:13px;max-width:660px}} |
| #legend{{position:fixed;bottom:16px;left:16px;background:#fffdfaee;border:1px solid var(--line);border-radius:10px;padding:11px 13px;font-size:12.5px;z-index:5;box-shadow:0 2px 10px #0000000d}} |
| #legend b{{display:block;margin:0 0 6px;font-size:11px;letter-spacing:.05em;text-transform:uppercase;color:var(--muted)}} |
| #legend .row{{display:flex;align-items:center;gap:8px;margin:4px 0}} |
| #net{{width:100vw;height:100vh;cursor:grab}} |
| .link{{stroke:#b9b3a6;stroke-opacity:.5}} |
| .node circle{{stroke:#fff;stroke-width:1.2}} |
| .lbl{{font-size:11px;fill:var(--ink);pointer-events:none;paint-order:stroke;stroke:#fbfaf8;stroke-width:3px;stroke-linejoin:round}} |
| </style></head><body> |
| {header}<div id="legend"> |
| <b>Node</b> |
| <div class="row"><svg width="46" height="16"><circle cx="8" cy="8" r="4" fill="#7fcdbb"/><circle cx="30" cy="8" r="8" fill="#0f5c58"/></svg>papers (size + shade)</div> |
| <b style="margin-top:8px">Link</b> |
| <div class="row"><svg width="46" height="10"><line x1="2" y1="5" x2="44" y2="5" stroke="#b9b3a6" stroke-width="1"/></svg>1 paper together</div> |
| <div class="row"><svg width="46" height="10"><line x1="2" y1="5" x2="44" y2="5" stroke="#b9b3a6" stroke-width="4"/></svg>many together</div> |
| </div> |
| <svg id="net"></svg> |
| <script> |
| const data={data}; |
| const color=d3.scaleSequential(d3.interpolateYlGnBu).domain([{minp}, data.maxn]); |
| const R=n=>4+1.15*n, LBL_MIN=5; |
| const svg=d3.select("#net"),W=innerWidth,H=innerHeight,g=svg.append("g"); |
| const zoom=d3.zoom().scaleExtent([0.15,4]).on("zoom",e=>g.attr("transform",e.transform));svg.call(zoom); |
| const link=g.append("g").selectAll("line").data(data.links).join("line") |
| .attr("class","link").attr("stroke-width",d=>0.6+d.w*0.55); |
| const node=g.append("g").selectAll("g").data(data.nodes).join("g").attr("class","node"); |
| node.append("circle").attr("r",d=>R(d.n)).attr("fill",d=>color(d.n)); |
| node.append("title").text(d=>d.label+" · "+d.n+" papers"); |
| node.append("text").attr("class","lbl").attr("x",d=>R(d.n)+3).attr("y",4) |
| .style("opacity",d=>d.n>=LBL_MIN?1:0).text(d=>d.label); |
| node.on("mouseover",function(e,d){{d3.select(this).select("text").style("opacity",1)}}) |
| .on("mouseout",function(e,d){{d3.select(this).select("text").style("opacity",d.n>=LBL_MIN?1:0)}}); |
| node.call(d3.drag() |
| .on("start",(e,d)=>{{if(!e.active)sim.alphaTarget(.3).restart();d.fx=d.x;d.fy=d.y}}) |
| .on("drag",(e,d)=>{{d.fx=e.x;d.fy=e.y}}) |
| .on("end",(e,d)=>{{if(!e.active)sim.alphaTarget(0);d.fx=null;d.fy=null}})); |
| function ticked(){{ |
| link.attr("x1",d=>d.source.x).attr("y1",d=>d.source.y).attr("x2",d=>d.target.x).attr("y2",d=>d.target.y); |
| node.attr("transform",d=>`translate(${{d.x}},${{d.y}})`); |
| }} |
| const sim=d3.forceSimulation(data.nodes) |
| .force("link",d3.forceLink(data.links).id(d=>d.id).distance(d=>82-Math.min(d.w,6)*5).strength(d=>0.14+d.w*0.05)) |
| .force("charge",d3.forceManyBody().strength(-320).distanceMax(600)) |
| .force("x",d3.forceX(W/2).strength(.05)).force("y",d3.forceY(H/2).strength(.05)) |
| .force("collide",d3.forceCollide(d=>R(d.n)+7).strength(.9)) |
| .stop(); |
| sim.tick(400); // pre-settle synchronously (no animation race) |
| ticked(); |
| fit(); |
| sim.on("tick",ticked); // redraw when drag re-heats the sim |
| function fit(){{ |
| const xs=data.nodes.map(d=>d.x),ys=data.nodes.map(d=>d.y); |
| const x0=Math.min(...xs),x1=Math.max(...xs),y0=Math.min(...ys),y1=Math.max(...ys); |
| const w=(x1-x0)||1,h=(y1-y0)||1,k=Math.min(3,0.9/Math.max(w/W,h/H)); |
| svg.call(zoom.transform,d3.zoomIdentity.translate(W/2-k*(x0+x1)/2,H/2-k*(y0+y1)/2).scale(k)); |
| }} |
| </script></body></html>''' |
|
|
|
|
| def main(): |
| ap = argparse.ArgumentParser() |
| ap.add_argument("--min-papers", type=int, default=3) |
| ap.add_argument("--embed", action="store_true") |
| ap.add_argument("--title", default=None) |
| ap.add_argument("--out", default="reports/author-graph.html") |
| a = ap.parse_args() |
| title = a.title or f"Co-authorship — authors with ≥{a.min_papers} papers" |
|
|
| data = build(a.min_papers) |
| header = "" if a.embed else HEADER.format(title=title, min=a.min_papers) |
| html = TEMPLATE.format(title=title, header=header, data=json.dumps(data), minp=a.min_papers) |
| out = a.out if os.path.isabs(a.out) else os.path.join(VAULT, a.out) |
| os.makedirs(os.path.dirname(out), exist_ok=True) |
| with open(out, "w", encoding="utf-8") as f: |
| f.write(html) |
| print(f"wrote {out}: {len(data['nodes'])} authors, {len(data['links'])} co-authorship edges") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
