The graph represents a network of 606 specified Twitter users (Bundestag July 2022). The network was obtained from Twitter on Tuesday, 23 August 2022 at 06:49 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 : 485
Unique Edges : 2236
Edges With Duplicates : 2838
Total Edges : 5074
Number of Edge Types : 4
MentionsInRetweet : 1178
Mentions : 1821
Retweet : 1593
Replies to : 482
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.120632585509378
Reciprocated Edge Ratio : 0.215293731539219
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 483
Maximum Edges in a Connected Component : 5073
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.00183
Graph Density : 0.0129803186504217
Modularity : 0.284842
NodeXL Version : 1.0.1.504
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=280573
Data Import : The graph represents a network of 606 specified Twitter users (Bundestag July 2022). The network was obtained from Twitter on Tuesday, 23 August 2022 at 06:49 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : Bundestag July 2022
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Vertex X : Betweenness Centrality
Vertex y : Eigenvector Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[33] bürger,innen [28] euro,ticket [24] herzlichen,glückwunsch [23] cdu,csu [22] laufen,lassen [18] nancyfaeser,hubertus_heil [18] gruenebundestag,fdpbt [18] länger,laufen [17] wichtiger,schritt [17] jamila_anna,ricarda_lang Top Word Pairs in Tweet in G1:
[15] #inflation,cl [13] wichtiger,schritt [11] #startup,strategie [11] bekämpfung,#inflation [10] politik,pump [10] fairen,tarif [10] tarif,lohn [10] lohn,einkommensteuer [10] deutschland,gründerrepublik [10] bachmannrudi,sven_kindler Top Word Pairs in Tweet in G2:
[24] bürger,innen [21] euro,ticket [14] cdu,csu [13] markus,söder [13] herzlichen,glückwunsch [12] gesellschaftlichen,konsens [12] bmin,steffilemke [11] energieeinsparung,energieeffizienz [11] sichere,endlagerung [11] verlängerung,laufzeiten Top Word Pairs in Tweet in G3:
[19] laufen,lassen [17] jamila_anna,ricarda_lang [16] gruenebundestag,fdpbt [15] länger,laufen [12] wahre,hilfe [12] atomkraftwerke,länger [10] springt,schatten [10] tut,deutschland [10] herzauswein,jamila_anna [10] autortoto,hemicker Top Word Pairs in Tweet in G4:
[10] amira_m_ali,dietmarbartsch [10] hartz,iv [7] punkte,plan [6] drastisch,steigende [6] cyclist_city,annachristmann [6] fdp,th_sattelberger [5] janine_wissler,ju_khatib [5] parteitag,dielinke [5] dielinke,klare [5] klare,entscheidungen Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7: