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# Twitter API Doc: https://developer.twitter.com/en/docs/tweets/search/overview/basic-search
import twitter #https://python-twitter.readthedocs.io/en/latest/getting_started.html
import random

api = twitter.Api(
    consumer_key='your_consumer_key',
    consumer_secret='your_consumer_secret',
    access_token_key='your_access_token_key',
    access_token_secret='your_access_token_secret',
)

nicysneiros

from py2neo import Graph
from igraph import Graph as IGraph

graph = Graph()

query = '''
MATCH (c1:Character)-[r:INTERACTS]->(c2:Character)
RETURN c1.name, c2.name, r.weight AS weight
'''

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MATCH (c:Character)
WITH collect(c) AS characters
CALL apoc.algo.betweenness(["INTERACTS"], characters, "BOTH") YIELD node, score
SET node.betweenness = score
RETURN node.name AS name, score ORDER BY score DESC

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MATCH (users) -[:LIKES]-> (:Page {name:"The Beatles"})
RETURN users

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SELECT u.name, u.gender, u.age 
   FROM User u, Likes c, Page p 
   WHERE p.name = ”The Beatles” 
      AND p.ID = c.ID_Page 
      AND c.ID_User = u.ID

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g.V.has("name","John").out("LIKES")

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SELECT EXPAND( BOTH(‘LIKES’) ) FROM User WHERE name=”John”

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MATCH (:User {name: “John”}) -[:LIKES]-> (pages)
RETURN pages

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MATCH (User {name: “John”}) -[:LIKES]-> (pages)
RETURN pages

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from py2neo import Graph, Node, NodeSelector

g = Graph(password="admin")
selector = NodeSelector(g)
john = selector.select("User", name="John").first()

john_likes = g.match(start_node=john, rel_type="LIKES")

for like in john_likes:
    page = like.end_node()