vessaldaneshvar

import networkx.algorithms.community as nxcom
asyn_lpa = list(nxcom.asyn_lpa_communities(G1,weight="weight"))

for list_items in asyn_lpa :
    print(len(list_items))

asyn_lpa_list = list(asyn_lpa[1])
group1 = df_users[df_users["id_str"].isin(asyn_lpa_list)]
relation_source_filter = df_group_relation[df_group_relation["source"].isin(asyn_lpa_list)]
relation1 = relation_source_filter[relation_source_filter["destination"].isin(asyn_lpa_list)]

vessaldaneshvar

G = nx.DiGraph()

G.add_nodes_from(df_users["id_str"],
                 name=df_users["name"],
                 screen_name=df_users["screen_name"],
                 description=df_users["description"],
                 url=df_users["url"],
                 followers_count=df_users["followers_count"],
                 friends_count=df_users["friends_count"],
                 listed_count=df_users["listed_count"],

vessaldaneshvar

df_relations = df_relations.drop(columns=df_relations.columns[0])
def weight_graph(df):
  sum_weight = 0
  for row in df["relation_type"]:
    if row == "RETWEET":
      sum_weight += 2
    elif row == "RETWEET_QOUTE":
      sum_weight += 1
    elif row == "MENTIONS":
      sum_weight += 4

vessaldaneshvar

from neo4j import GraphDatabase

uri = "bolt://localhost:7687"
driver = GraphDatabase.driver(uri, auth=("neo4j", "password"))

with open("ids_mini_data.txt",encoding="utf-8-sig") as fo:
    data = fo.read()
list_ids = data.split("\n")

with driver.session() as session:

vessaldaneshvar

import MySQLdb
import tweepy
import json
import time
import sys
with open("token_list.json") as fp:
    data = json.load(fp)

# Connect to MySQL
db = MySQLdb.connect(host="localhost",user="user",passwd="password",db="dbname",charset="utf8mb4")

vessaldaneshvar

from neo4j import GraphDatabase
import tweepy
import json
# Connect To DataBase Neo4j
uri = "bolt://localhost:7687"
driver = GraphDatabase.driver(uri, auth=("neo4j", "twitterdata"))

consumer_key = "consumer_key"
consumer_secret = "consumer_secret"
access_token = "access_token"