Alice_Weidel Twitter Users Network 1000 2019-09-05 (experimental version)
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Uploaded on:
September 05, 2019
Short Description:
Alice_Weidel via NodeXL
http://bit.ly/2PPWtra@alice_weidel
@regineguenther
@joachimstamp
@stbrandner
@dirkspaniel
@berndgoegelafd
@asb_de
@swagenknecht
@m_harderkuehnel
@karl_lauterbach
Top hashtags:
#afd
#bundestag
#groko
#ltwbayern
#merkel
#seehofer
#deutschland
Description:
The graph represents a network of 1 specified Twitter user. The network was obtained from Twitter on Thursday, 05 September 2019 at 10:07 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 98
Unique Edges : 70
Edges With Duplicates : 987
Total Edges : 1057
Number of Edge Types : 4
Retweet : 95
Mentions : 158
Replies to : 4
Tweet : 800
Self-Loops : 801
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 98
Maximum Edges in a Connected Component : 1057
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.959392
Graph Density : 0.0102040816326531
Modularity : 0.083734
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[198] #afd,#bundestag [56] #afd,fraktion [27] alexander,#gauland [26] #afd,co [15] #bundestag,co [14] fraktion,#bundestag [13] #afd,#ltwbayern [11] deutschen,#bundestag [10] dr,alexander [9] #bundestag,#afd Top Word Pairs in Tweet in G1:
[198] #afd,#bundestag [56] #afd,fraktion [27] alexander,#gauland [26] #afd,co [15] #bundestag,co [14] fraktion,#bundestag [13] #afd,#ltwbayern [11] deutschen,#bundestag [10] dr,alexander [9] #bundestag,#afd Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Tweeters in Entire Graph:
Top Tweeters in G1: