Analyzing Topological Positions Based on Numerical User Information on Twitter
Web Mining - Project Report - Spring Semester 2017
presented by
Toka Abdelgabar
Lena Burger
Larissa Haas
Larissa Heissler
Jan Wagner
Web Mining - Project Report - Spring Semester 2017
presented by
Toka Abdelgabar
Lena Burger
Larissa Haas
Larissa Heissler
Jan Wagner
Data Mining 1 - Project Report - Spring Semester 2017
presented by
Larissa Haas
Philipp Jamscikow
Philipp Naeser
Jan Wagner
Julian Weller
Finding Experts in the Structure of the Twitter7 Following/Follower Network
import networkx as nx
import pylab as plt
import math
g = nx.read_edgelist("C:\\Users\\laris\\Desktop\\www_twitter7_results\\reply.txt", create_using=nx.DiGraph())
def dict_sort(cent_dict, pos):
# Create ordered tuple of centrality data
cent_items=[(b,a) for (a,b) in cent_dict.items()]
# Sort in descending order
cent_items.sort()
cent_items.reverse()
return tuple(reversed(cent_items[0:pos]))
#nx.draw(g)
#nx.is_connected(g)…
Finding Influencer in the Structure of the Twitter7 Following/Follower Network