The graph represents a network of 12,819 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 Thursday, 28 April 2022 at 13:37 UTC.
The tweets in the network were tweeted over the 19-hour, 54-minute period from Wednesday, 27 April 2022 at 16:53 UTC to Thursday, 28 April 2022 at 12:48 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 : 12819
Unique Edges : 21365
Edges With Duplicates : 4474
Total Edges : 25839
Number of Edge Types : 5
Retweet : 14319
MentionsInRetweet : 4464
Replies to : 2193
Tweet : 2362
Mentions : 2501
Self-Loops : 2433
Reciprocated Vertex Pair Ratio : 0.00514393581878244
Reciprocated Edge Ratio : 0.0102352223109066
Connected Components : 1076
Single-Vertex Connected Components : 798
Maximum Vertices in a Connected Component : 11122
Maximum Edges in a Connected Component : 23959
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.661547
Graph Density : 0.000129623814879933
Modularity : 0.652684
NodeXL Version : 1.0.1.449
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=275624
Data Import : The graph represents a network of 12,819 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 Thursday, 28 April 2022 at 13:37 UTC.
The tweets in the network were tweeted over the 19-hour, 54-minute period from Wednesday, 27 April 2022 at 16:53 UTC to Thursday, 28 April 2022 at 12:48 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:
[2925] heavy,weapons [1830] lieferung,schwerer [1777] schwerer,waffen [1703] weapons,ukraine [931] of,german [899] german,government [882] more,heavy [876] see,german [869] people,representatives [868] 586,bundestag Top Word Pairs in Tweet in G1:
[1055] lieferung,schwerer [1043] schwerer,waffen [674] #fdp,#cdu [651] waffen,#ukraine [621] antrag,lieferung [621] #cdu,#csu [620] bundestag,antrag [620] #ukraine,abstimmung [620] abstimmung,martialischer [620] martialischer,sprache Top Word Pairs in Tweet in G2:
[140] lieferung,schwerer [132] schwerer,waffen [120] larsklingbeil,#bundestag [100] heavy,weapons [93] waffen,ukraine [82] union,redezettel [82] redezettel,stehen [70] parteipolitische,profilierung [63] unterstützung,#ukraine [60] platz,parteipolitische Top Word Pairs in Tweet in G3:
[754] frankreich,schuld [535] gauland,#bundestag [535] #bundestag,erklärt [535] erklärt,frankreich [535] schuld,ausbruch [535] ausbruch,weltkriegs [534] weltkriegs,populismus [534] populismus,revisionismus [534] revisionismus,schlichter [534] schlichter,relativismus Top Word Pairs in Tweet in G4:
[726] pcr,test [724] positiv,c19 [724] c19,getestet [723] 21,2022 [723] 2022,c_lindner [723] c_lindner,erstmals [723] erstmals,positiv [723] getestet,spricht [723] spricht,bundestag [723] bundestag,pcr Top Word Pairs in Tweet in G5:
[865] heavy,weapons [797] weapons,ukraine [711] 586,bundestag [711] bundestag,lawmakers [711] more,heavy [710] lawmakers,endorsed [710] endorsed,sending [710] sending,more [710] ukraine,100 [710] 100,abstained Top Word Pairs in Tweet in G6:
[125] lieferung,schwerer [123] schwerer,waffen [88] bundestag,stimmt [80] waffen,ukraine [72] stimmt,lieferung [49] heavy,weapons [40] βαρέων,όπλων [36] παράδοση,βαρέων [36] στην,ουκρανία [33] όπλων,στην Top Word Pairs in Tweet in G7:
[574] heavy,weapons [398] providing,ukraine [398] ukraine,heavy [389] 586,votes [379] of,bundestag [376] bundestag,vote [375] germany,586 [375] votes,providing [375] weapons,impressive [375] impressive,unity Top Word Pairs in Tweet in G8:
[593] heavy,weapons [530] weapons,ukraine [337] bundestag,voted [302] day,64 [302] 64,of [302] of,day [302] day,bundestag [302] voted,overwhelmingly [302] overwhelmingly,send [302] send,german Top Word Pairs in Tweet in G9:
[484] heavy,weapons [423] of,heavy [417] supply,of [416] voted,supply [401] bundestag,voted [394] #german,bundestag [391] 586,out [391] out,of [391] of,693 [391] 693,deputies Top Word Pairs in Tweet in G10:
[231] lieferung,schwerer [199] schwerer,waffen [198] waffen,ukraine [83] stimmt,lieferung [81] bundestag,stimmt [48] bundestag,beschließt [46] eil,bundestag [45] beschließt,lieferung [45] ukraine,informationen [45] informationen,kürze 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: