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https://github.com/cwinfo/yggdrasil-map
synced 2024-11-22 00:00:27 +00:00
size nodes by their betweenness, use nodedb for giving hosts names
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@ -16,6 +16,7 @@ chmod +x sendGraph.py
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## Web server
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```bash
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git clone git@github.com:zielmicha/fc00.org.git
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git clone git@github.com:zielmicha/nodedb.git web/nodedb
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sudo apt-get install python-flask python-flup python-mysqldb python-pygraphviz
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cd fc00.org/web
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@ -1,7 +1,10 @@
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import pygraphviz as pgv
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import time
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import json
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import collections
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import math
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import networkx as nx
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from networkx.algorithms import centrality
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def position_nodes(nodes, edges):
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G = pgv.AGraph(strict=True, directed=False, size='10!')
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@ -16,6 +19,26 @@ def position_nodes(nodes, edges):
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return G
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def compute_betweenness(G):
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ng = nx.Graph()
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for start in G.iternodes():
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others = G.neighbors(start)
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for other in others:
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ng.add_edge(start, other)
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c = centrality.betweenness_centrality(ng)
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for k, v in c.items():
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c[k] = v
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return c
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def canonalize_ip(ip):
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return ':'.join( i.rjust(4, '0') for i in ip.split(':') )
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def load_db():
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with open('nodedb/nodes') as f:
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return dict([ (canonalize_ip(v[0]), v[1]) for v in [ l.split(None)[:2] for l in f.readlines() ] if len(v) > 1 ])
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def get_graph_json(G):
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max_neighbors = 1
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@ -31,18 +54,27 @@ def get_graph_json(G):
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'edges': []
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}
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centralities = compute_betweenness(G)
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db = load_db()
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for n in G.iternodes():
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neighbor_ratio = len(G.neighbors(n)) / float(max_neighbors)
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pos = n.attr['pos'].split(',', 1)
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centrality = centralities.get(n.name, 0)
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pcentrality = (centrality + 0.0001) * 500
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size = (pcentrality ** 0.3 / 500) * 1000 + 1
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name = db.get(n.name)
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out_data['nodes'].append({
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'id': n.name,
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'label': n.attr['label'],
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'label': name if name else n.attr['label'],
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'name': name,
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'version': n.attr['version'],
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'x': float(pos[0]),
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'y': float(pos[1]),
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'color': _gradient_color(neighbor_ratio, [(100, 100, 100), (0, 0, 0)]),
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'size': neighbor_ratio
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'size': size,
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'centrality': '%.4f' % centrality
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})
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for e in G.iteredges():
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@ -175,7 +175,8 @@ function showNodeInfo(node) {
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'<span class="tt">' + node.id + '</span><br>' +
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'<br>' +
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'<strong>Version:</strong> ' + node.version + '<br>' +
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'<strong>Peers:</strong> ' + node.peers.length + '<br>' +
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'<strong>Peers:</strong> ' + node.peers.length + '<br>' +
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'<strong>Centrality:</strong> ' + node.centrality + '<br>' +
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'<table>' +
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// '<tr><td></td><td><strong>Their peers #</strong></td></tr>' +
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peers.map(function (n) {
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@ -210,7 +211,7 @@ $(document).ready(function() {
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var node = nodes[i];
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node.x = node.x * 1.2;
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node.y = node.y * 1.2;
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node.radius = 4 + node.size * 10;
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node.radius = node.size;
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node.hover = false;
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node.selected = false;
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node.edges = [];
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@ -399,7 +400,7 @@ $(document).ready(function() {
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// node.x *= ratio;
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// node.y *= ratio;
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// node.radius *= ratio;
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node.radius = (4 + node.size * 8) * zoom;
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node.radius = (node.size) * zoom;
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}
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drawNetwork();
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@ -417,4 +418,4 @@ function nodeMouseIn(node) {
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function nodeMouseOut(node) {
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node.hover = false;
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$('body').css('cursor', 'auto');
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}
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}
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