The graph represents a network of 11,733 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 Friday, 03 July 2020 at 22:45 UTC.
The tweets in the network were tweeted over the 1-day, 4-hour, 8-minute period from Thursday, 02 July 2020 at 17:58 UTC to Friday, 03 July 2020 at 22:07 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 : 11733
Unique Edges : 23978
Edges With Duplicates : 6850
Total Edges : 30828
Number of Edge Types : 5
Retweet : 13701
MentionsInRetweet : 8939
Mentions : 3932
Replies to : 1747
Tweet : 2509
Self-Loops : 2616
Reciprocated Vertex Pair Ratio : 0.00831228098769457
Reciprocated Edge Ratio : 0.0164875131334357
Connected Components : 985
Single-Vertex Connected Components : 688
Maximum Vertices in a Connected Component : 9787
Maximum Edges in a Connected Component : 28619
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.400846
Graph Density : 0.000179772758979928
Modularity : 0.596363
NodeXL Version : 1.0.1.437
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=230208
Data Import : The graph represents a network of 11,733 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 Friday, 03 July 2020 at 22:45 UTC.
The tweets in the network were tweeted over the 1-day, 4-hour, 8-minute period from Thursday, 02 July 2020 at 17:58 UTC to Friday, 03 July 2020 at 22:07 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 Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1185] bundestag,#ipreg [1009] #ipreg,gesetz [962] gesetz,jensspahn [962] jensspahn,beschlossen [962] beschlossen,schwerbehinderte [962] schwerbehinderte,amp [962] amp,beatmete [962] beatmete,legal [962] legal,heim [962] heim,zwingen Top Word Pairs in Tweet in G1:
[252] 2038,spät [240] bundestag,#kohleeinstiegsgesetz [217] haus,bundestag [211] 14,00 [211] 00,streiken [211] streiken,willy [211] willy,brand [211] brand,haus [211] bundestag,spread [211] spread,leute Top Word Pairs in Tweet in G2:
[1025] bundestag,#ipreg [860] #ipreg,gesetz [822] gesetz,jensspahn [822] jensspahn,beschlossen [822] beschlossen,schwerbehinderte [822] schwerbehinderte,amp [822] amp,beatmete [822] beatmete,legal [822] legal,heim [822] heim,zwingen Top Word Pairs in Tweet in G3:
[482] #afd,fraktion [332] stuttgart,folge [332] folge,verfehlten [332] verfehlten,migrationspolitik [330] migrationspolitik,#afd [330] fraktion,gewaltexzesse [330] gewaltexzesse,#stuttgart [330] #stuttgart,tagesordnung [330] tagesordnung,bundestag [330] bundestag,gesetzt Top Word Pairs in Tweet in G4:
[191] kohleausstieg,2038 [189] deutschland,lächerlich [189] lächerlich,pünktlich [189] pünktlich,start [189] start,eu [189] eu,vorsitzes [189] vorsitzes,beschließt [189] beschließt,bureg [189] bureg,unambitionierten [189] unambitionierten,kohleausstieg Top Word Pairs in Tweet in G5:
[73] bundestag,beschließt [24] bundestag,bundesrat [16] της,εκτ [16] spätestens,2038 [15] για,το [15] beschließt,kohleausstieg [14] deutschen,bundestag [14] πληρούνται,οι [14] το,πρόγραμμα [12] οι,όροι Top Word Pairs in Tweet in G6:
[185] nazis,bundestag [178] liebste,kindheitserinnerung [178] kindheitserinnerung,nazis [178] bundestag,saßen [134] bundestag,stellt [129] stellt,#upskirting [126] #upskirting,strafe [126] strafe,15 [126] 15,trend [126] trend,griff Top Word Pairs in Tweet in G7:
[28] bekommt,kletterausrüstung [28] kletterausrüstung,riesiges [28] riesiges,schweres [28] schweres,plakat [28] plakat,sicherheitsseile [28] sicherheitsseile,diverse [28] diverse,kleinteile [28] kleinteile,unbemerkt [28] unbemerkt,bundestag [28] bundestag,bringt Top Word Pairs in Tweet in G8:
[264] mitarbeiter,vergangenheit [264] vergangenheit,offenbar [264] offenbar,gedrängt [264] gedrängt,arbeit [264] arbeit,erscheinen [264] erscheinen,krank [161] rage,redet [161] redet,ehemalige [161] ehemalige,bundesvorsitzende [161] bundesvorsitzende,grünen Top Word Pairs in Tweet in G9:
[38] cdu,csu [37] verkleinerung,bundestags [37] bundestags,gerungen [37] gerungen,vorhaben [37] vorhaben,gescheitert [37] gescheitert,blamage [37] blamage,parlament [37] parlament,schuld [37] schuld,cdu [37] csu,spd Top Word Pairs in Tweet in G10:
[247] pkb,75 [213] bundestag,zezwolił [213] zezwolił,rządowi [213] rządowi,skokowe [213] skokowe,zwiększenie [213] zwiększenie,zadłużenia [213] zadłużenia,poniżej [213] poniżej,60 [213] 60,pkb [213] 75,nowy 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 G8:
Top Replied-To in G9:
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 Mentioned in G9:
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: