The graph represents a network of 15,476 Twitter users whose recent tweets contained "Bundestag", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 14 February 2023 at 12:04 UTC.
The tweets in the network were tweeted over the 3-day, 21-hour, 45-minute period from Friday, 10 February 2023 at 13:20 UTC to Tuesday, 14 February 2023 at 11:05 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 15476
Unique Edges : 24215
Edges With Duplicates : 9202
Total Edges : 33417
Number of Edge Types : 5
Retweet : 13067
MentionsInRetweet : 5371
Mentions : 6801
Replies to : 5589
Tweet : 2589
Self-Loops : 2664
Reciprocated Vertex Pair Ratio : 0.00744625485407743
Reciprocated Edge Ratio : 0.0147824359229088
Connected Components : 960
Single-Vertex Connected Components : 504
Maximum Vertices in a Connected Component : 13499
Maximum Edges in a Connected Component : 31287
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.089737
Graph Density : 0.000105076973632841
Modularity : 0.615218
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 15,476 Twitter users whose recent tweets contained "Bundestag", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 14 February 2023 at 12:04 UTC.
The tweets in the network were tweeted over the 3-day, 21-hour, 45-minute period from Friday, 10 February 2023 at 13:20 UTC to Tuesday, 14 February 2023 at 11:05 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : Bundestag
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3006] nord,stream [2508] seymour,hersh [2199] que,si [2197] membre,bundestag [2193] hersh,selon [2193] si,les [2193] sont,confirmées [2193] selon,lesquelles [2193] fait,sauter [2193] lesquelles,plongeurs Top Word Pairs in Tweet in G1:
[2155] nord,stream [2132] déclaré,que [2132] lesquelles,plongeurs [2132] sont,confirmées [2132] hersh,selon [2132] fait,sauter [2132] la,marine [2132] les,conclusions [2132] membre,bundestag [2132] todenhöfer,déclaré Top Word Pairs in Tweet in G2:
[130] herzlichen,glückwunsch [64] glz,pcp [59] #türkei,#syrien [53] pcp,facilitators [51] deutschen,bundestag [50] franziska,giffey [48] rot,grün [47] glückwunsch,kaiwegner [47] kaiwegner,cduberlin [46] brandenburger,tor Top Word Pairs in Tweet in G3:
[483] habeck,bundestag [483] volk,zufrieden [483] zufrieden,geben [353] antworten,geben [332] geben,volk [332] sprengung,nordstream [332] geheimdienst,antworten [332] bundestag,sprengung [332] teilt,recherche [332] geben,schaut Top Word Pairs in Tweet in G4:
[68] bundestag,einfach [67] aufbaut,sommerpause [67] #frauensagennein,marcobuschmann [67] #transpersonen,abzubauen [67] sommerpause,bundestag [67] diskriminierung,#transpersonen [67] bevölkerg,diskriminierung [67] wichtigen,ziel [67] #selbstbestimmungsgesetz,wichtigen [67] durchgewunken,#frauensagennein Top Word Pairs in Tweet in G5:
[315] stimmen,bundestag [314] liebe,parlamentarischen [314] fass,genau [314] werte,versprechen [314] wichtige,werte [314] grüne,hoffnung [314] genau,haltung [314] haltung,nimmt [314] gepflogenheiten,wichtige [314] parlamentarischen,gepflogenheiten Top Word Pairs in Tweet in G6:
[331] jürgen,trittin [328] of,green [327] kotré,alexander [327] alexander,gauland [327] thx,jtrittin [327] denazifies,right [327] wing,afd [327] afd,mps [327] gauland,thx [327] right,wing Top Word Pairs in Tweet in G7:
[505] nord,stream [504] end,of [502] member,of [502] former,member [501] navy,divers [501] conclusions,of [501] divers,blew [501] last,year [501] mean,end [501] year,confirmed Top Word Pairs in Tweet in G8:
[35] nord,stream [26] afd,fraktion [25] fraktion,bundestag [18] deutschen,bundestag [16] 02,2023 [13] linke,bundestag [13] alter,95 [12] modrow,tot [12] hans,modrow [11] nacht,samstag Top Word Pairs in Tweet in G9:
[137] bundestag,mehrheit [137] mehrheit,klar [137] klar,anspruch [137] knapp,union [137] #spd,knapp [137] abgeleitet,obwohl [137] fast,10 [137] anspruch,fast [137] 10,prozentpunkte [137] lag,#spd Top Word Pairs in Tweet in G10:
[137] rkiesewetter,cducsubt [126] germany,sordid [126] sordid,past [126] regime,never [126] supporting,nazi [126] europe,banderist [126] re,admiring [126] never,again [126] two,34 [126] nazi,regimes 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 Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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 Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G9:
Top Tweeters in G10: