The graph represents a network of 14,228 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 Wednesday, 29 June 2022 at 13:26 UTC.
The tweets in the network were tweeted over the 4-day, 20-hour, 53-minute period from Friday, 24 June 2022 at 15:06 UTC to Wednesday, 29 June 2022 at 12:00 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 : 14228
Unique Edges : 23627
Edges With Duplicates : 11475
Total Edges : 35102
Number of Edge Types : 5
Replies to : 5451
Mentions : 7676
Retweet : 12513
MentionsInRetweet : 5886
Tweet : 3576
Self-Loops : 3688
Reciprocated Vertex Pair Ratio : 0.0078125
Reciprocated Edge Ratio : 0.0155038759689922
Connected Components : 1268
Single-Vertex Connected Components : 659
Maximum Vertices in a Connected Component : 11474
Maximum Edges in a Connected Component : 32056
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.405763
Graph Density : 0.000120446539353211
Modularity : 0.533089
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 14,228 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 Wednesday, 29 June 2022 at 13:26 UTC.
The tweets in the network were tweeted over the 4-day, 20-hour, 53-minute period from Friday, 24 June 2022 at 15:06 UTC to Wednesday, 29 June 2022 at 12:00 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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1185] klimaanlage,bundestag [925] läuft,klimaanlage [912] wunderbar,bevölkerung [912] bevölkerung,energiesparen [912] energiesparen,animiert [912] animiert,läuft [912] bundestag,ununterbrochen [912] ununterbrochen,doppelmoral [912] doppelmoral,excellence [576] lindner,bundestag Top Word Pairs in Tweet in G1:
[495] lindner,bundestag [495] bundestag,winter [495] winter,hirn [495] hirn,heizen [495] hinten,raus [495] raus,grünen [495] grünen,frieren [490] heizen,ruft [490] ruft,hinten [437] lindner,fordert Top Word Pairs in Tweet in G2:
[123] herzlichen,glückwunsch [34] support,of [34] chair,of [32] #ukraine,became [32] became,candidate [32] candidate,eu [32] eu,members [32] members,remarkable [32] remarkable,decision [32] decision,wouldn Top Word Pairs in Tweet in G3:
[730] klimaanlage,bundestag [662] läuft,klimaanlage [661] wunderbar,bevölkerung [661] bevölkerung,energiesparen [661] energiesparen,animiert [661] animiert,läuft [661] bundestag,ununterbrochen [661] ununterbrochen,doppelmoral [661] doppelmoral,excellence [119] bundestag,bundeskanzler Top Word Pairs in Tweet in G4:
[136] uni,gremien [136] gremien,gibt's [136] gibt's,bewährtes [136] bewährtes,killer [136] killer,argument [136] argument,hol' [136] hol',protokoll [136] protokoll,früheren [136] früheren,sitzung [136] sitzung,raus Top Word Pairs in Tweet in G5:
[37] 219a,bundestag [35] abschaffung,219a [30] ärzt,innen [28] bundestag,abschaffung [28] #219a,beschlossen [28] kristina,hänel [27] paragraf,#219a [27] abschaffung,werbeverbots [25] deutscher,bundestag [24] abschaffung,#219a Top Word Pairs in Tweet in G6:
[207] #bundestag,#ampel [175] #ampel,#merkel [141] #frauen,#freibad [134] #abtreibung,eiskalter [134] #mord,#verbrechen [134] #verbrechen,#menschheit [134] #merkel,#gruene [128] supreme,court [108] #gruene,erzählen [108] #geschlechter,#gendergaga Top Word Pairs in Tweet in G7:
[51] bundestag,beschließt [51] beschließt,streichung [51] streichung,paragraf [51] paragraf,219a [51] 219a,#eilmeldung [36] deutschen,bundestag [28] goeringeckardt,c_lindner [24] dokumentationen,nazizeit [24] nazizeit,schauen [24] schauen,rassisten Top Word Pairs in Tweet in G8:
[132] petition,bundestag [132] bundestag,selbstständigen [132] selbstständigen,schwangeren [132] schwangeren,mutterschutz [132] mutterschutz,zuzugestehen [132] zuzugestehen,leider [132] leider,genießen [132] genießen,angestellte [132] angestellte,schutz [132] schutz,schade Top Word Pairs in Tweet in G9:
[40] paragraf,#219a [38] stärken,selbstbestimmung [37] bundestag,paragraf [37] #219a,strafgesetzbuchs [37] strafgesetzbuchs,gestrichen [37] gestrichen,stärken [37] selbstbestimmung,sicherheit [37] sicherheit,frauen [29] donnerstag,vergangener [29] vergangener,woche Top Word Pairs in Tweet in G10:
[156] kinder,hungern [156] hungern,zudecken [156] zudecken,frieren [156] frieren,decke [156] decke,gäbe [156] gäbe,verdienen [156] verdienen,bundestag [156] bundestag,exorbitante [156] exorbitante,summen [156] summen,lebensende 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 Replied-To in G10:
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 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: