# that displays the graph using an interactive, force-based spring layout.
# You can drag the nodes around - open index.html in a browser and try it out!
# The layout can be tweaked in many ways:
export(
g,
"test",
overwrite=True, # Overwrite existing folder?
width=700, # <canvas> width.
height=500, # <canvas> height.
frames=500, # Number of frames of animation.
fps=20, # Nubmer of frames per second.
weight=[WEIGHT, CENTRALITY
], # Calculate eigenvector & betweenness centrality (in Python).
weighted=0.5, # Indicate nodes with a higher centrality with a shadow?
directed=True, # Indicate connection direction with an arrow?
distance=10, # Overall connection length.
k=4.0, # Force constant.
force=0.01, # Force dampener.
repulsion=50, # Repulsive force radius.
prune=0, # Remove nodes that have <= connections? (in Javascript)
pack=
True, # Keep clusters close together + visualize node weight as node radius?
stylesheet=
"default", # INLINE, DEFAULT, None, or the path to your own stylesheet.
javascript="js/",
href={"1":
"http://www.clips.ua.ac.be/pages/pattern-graph"}, # Node.id => URL
css={"1": "node-link-docs"} # Node.id => CSS class.
)
for i in range(1,10):
# Set cached=False for live results:
for result in Twitter(language="en").search("\"is the new\"", start=i, count=100, cached=True):
s = result.text
s = s.replace("\n", " ")
s = s.lower()
s = s.replace("is the new", "NEW")
s = s.split(" ")
try:
i = s.index("NEW")
A = s[i-1].strip("?!.:;,#@\"'")
B = s[i+1].strip("?!.:;,#@\"'")
# Exclude common phrases such as "this is the new thing".
if A and B and A not in ("it", "this", "here", "what", "why", "where"):
comparisons.append((A,B))
except:
pass
g = Graph()
for A, B in comparisons:
e = g.add_edge(B, A) # "A is the new B": A <= B
e.weight += 0.1
print B, "=>", A
# Not all nodes will be connected, there will be multiple subgraphs.
# Simply take the largest subgraph for our visualization.
g = g.split()[0]
export(g, "trends", weight=True, weighted=True, directed=True, overwrite=True)
for i in range(1,10):
# Set cached=False for live results:
for result in Twitter(language="en").search("\"is the new\"", start=i, count=100, cached=True):
s = result.description
s = s.replace("\n", " ")
s = s.lower()
s = s.replace("is the new", "NEW")
s = s.split(" ")
try:
i = s.index("NEW")
A = s[i-1].strip("?!.:;,#@\"'")
B = s[i+1].strip("?!.:;,#@\"'")
# Exclude common phrases such as "this is the new thing".
if A and B and A not in ("it", "this", "here", "what", "why", "where"):
comparisons.append((A,B))
except:
pass
g = Graph()
for A, B in comparisons:
e = g.add_edge(B, A) # "A is the new B": A <= B
e.weight += 0.1
print B, "=>", A
# Not all nodes will be connected, there will be multiple subgraphs.
# Simply take the largest subgraph for our visualization.
g = g.split()[0]
export(g, "trends", weight=True, weighted=True, directed=True, overwrite=True)
# This node's label is different from its id.
# We'll also make it a link, see the href attribute at the bottom.
g["1"].text.string = "home"
# The export() command generates a folder with an index.html,
# that displays the graph using an interactive, force-based spring layout.
# You can drag the nodes around - open index.html in a browser and try it out!
# The layout can be tweaked in many ways:
export(g, "test",
overwrite = True, # Overwrite existing folder?
width = 700, # <canvas> width.
height = 500, # <canvas> height.
frames = 500, # Number of frames of animation.
fps = 20, # Nubmer of frames per second.
weight = [WEIGHT, CENTRALITY], # Calculate eigenvector & betweenness centrality (in Python).
weighted = 0.5, # Indicate nodes with a higher centrality with a shadow?
directed = True, # Indicate connection direction with an arrow?
distance = 10, # Overall connection length.
k = 4.0, # Force constant.
force = 0.01, # Force dampener.
repulsion = 50, # Repulsive force radius.
prune = 0, # Remove nodes that have <= connections? (in Javascript)
pack = True, # Keep clusters close together + visualize node weight as node radius?
stylesheet = "default", # INLINE, DEFAULT, None, or the path to your own stylesheet.
javascript = "js/",
href = {"1": "http://www.clips.ua.ac.be/pages/pattern-graph"}, # Node.id => URL
css = {"1": "node-link-docs"} # Node.id => CSS class.
)
def display(self, name='default'):
from pattern.graph import Graph, export
graph = Graph()
self._display(self.root, graph)
export(graph, name, directed=True, weight=0.6, distance=6)
b = m.constituents(p[-1])[+0] # Right NP.
a = (isinstance(a, Chunk) and a.head or a).string
b = (isinstance(b, Chunk) and b.head or b).string
if a and b:
if a not in g:
g.add_node(a, radius=5, stroke=(0,0,0,0.8))
if b not in g:
g.add_node(b, radius=5, stroke=(0,0,0,0.8))
g.add_edge(g[b], g[a], stroke=(0,0,0,0.6))
g = g.split()[0] # Largest subgraph.
for n in g.sorted()[:40]: # Sorted by Node.weight.
n.fill = (0.0, 0.5, 1.0, 0.7 * n.weight)
export(g, 'test', directed=True, weighted=0.6, distance=6, force=0.05, repulsion=150)
import os
os.system('ls -lR test/')
# Example of pattern: http://www.clips.ua.ac.be/pages/pattern
from pattern.web import Bing, plaintext
from pattern.en import Sentence, Chunk, parse
from pattern.search import Pattern
from pattern.graph import Graph, Node, Edge, export
g = Graph()
for i in range(1):
print "--------------", i
for r in Bing().search('"more important than"', start=i+1, count=50):
if a and b:
if a not in g:
g.add_node(a, radius=5, stroke=(0, 0, 0, 0.8))
if b not in g:
g.add_node(b, radius=5, stroke=(0, 0, 0, 0.8))
g.add_edge(g[b], g[a], stroke=(0, 0, 0, 0.6))
g = g.split()[0] # Largest subgraph.
for n in g.sorted()[:40]: # Sorted by Node.weight.
n.fill = (0.0, 0.5, 1.0, 0.7 * n.weight)
export(g,
'test',
directed=True,
weighted=0.6,
distance=6,
force=0.05,
repulsion=150)
import os
os.system('ls -lR test/')
# Example of pattern: http://www.clips.ua.ac.be/pages/pattern
from pattern.web import Bing, plaintext
from pattern.en import Sentence, Chunk, parse
from pattern.search import Pattern
from pattern.graph import Graph, Node, Edge, export
g = Graph()
for i in range(1):
