The graph represents a network of 618 specified Twitter users (Bundestag January 2023). The network was obtained from Twitter on Thursday, 02 February 2023 at 19:24 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 : 512
Unique Edges : 2320
Edges With Duplicates : 3462
Total Edges : 5782
Number of Edge Types : 4
MentionsInRetweet : 1440
Retweet : 1841
Mentions : 1911
Replies to : 590
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.105598390881663
Reciprocated Edge Ratio : 0.191024863553669
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 510
Maximum Edges in a Connected Component : 5781
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.889936
Graph Density : 0.0126054916829746
Modularity : 0.272438
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 618 specified Twitter users (Bundestag January 2023). The network was obtained from Twitter on Thursday, 02 February 2023 at 19:24 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 January 2023
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[181] #3k23,#diezukunftglaubtanuns [90] c_lindner,fdp [59] herzlichen,glückwunsch [59] fdp,#3k23 [54] c_lindner,#3k23 [49] cdu,csu [46] mueller_sepp,stefingermdb [35] bundeskanzler,olafscholz [32] stefingermdb,mueller_sepp [31] tl,#3k23 Top Word Pairs in Tweet in G1:
[30] cdu,csu [20] bmin,steffilemke [19] landwirt,innen [17] auswertung,südtirol [17] landwirtschaftsminister,1375 [17] aufzeichnungen,anzeigenden [17] anzeigenden,erscheint [17] zeigte,südtiroler [17] innen,plakats [17] südtirol,pestizidproblem Top Word Pairs in Tweet in G2:
[27] mueller_sepp,stefingermdb [22] politische,patenschaft [21] herzlichen,glückwunsch [16] stefingermdb,mueller_sepp [15] jamshid,#sharmahd [14] kontakt,selbstgewählten [14] olaf,#scholz [14] 900,einzelhaft [14] journalisten,jamshid [14] fast,900 Top Word Pairs in Tweet in G3:
[177] #3k23,#diezukunftglaubtanuns [88] c_lindner,fdp [59] fdp,#3k23 [54] c_lindner,#3k23 [31] tl,#3k23 [21] mastrackzi,johannesvogel [20] unseres,landes [20] #3k23,fdp [19] volker,wissing [18] cl,#3k23 Top Word Pairs in Tweet in G4:
[16] bundeskanzler,olafscholz [16] dielinke,schirdewan [9] gruenebeate,m_papendieck [9] herzlichen,glückwunsch [9] klimaschutzziele,gestellt [8] m_papendieck,pascalmeiser [7] people,iran [7] #mohammadmehdikarami,#seyedmohammadhosseini [7] #iranrevolution,#howhealthyistoomajreally [7] kolleg,innen Top Word Pairs in Tweet in G5:
[3] dr,georg [3] georg,kippels [2] hbraun,hoffmannforest [2] calm,carry [2] frankstengel,kristianklinck [2] unterstützen,#worldntdday [2] patin,offenbar [2] minister,svenjaschulze68 [2] knut_abraham,mastrackzi [2] hoffmannforest,#beatntds Top Word Pairs in Tweet in G6:
[2] nordwestler28,ryglewskis [2] uwe,schmidt 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 Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G8: