The graph represents a network of 14,289 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, 08 February 2023 at 21:02 UTC.
The tweets in the network were tweeted over the 3-day, 18-hour, 16-minute period from Sunday, 05 February 2023 at 01:47 UTC to Wednesday, 08 February 2023 at 20:04 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 : 14289
Unique Edges : 27242
Edges With Duplicates : 12417
Total Edges : 39659
Number of Edge Types : 5
Retweet : 13003
MentionsInRetweet : 9985
Replies to : 5685
Mentions : 8320
Tweet : 2666
Self-Loops : 2750
Reciprocated Vertex Pair Ratio : 0.00748696777804989
Reciprocated Edge Ratio : 0.0148626593047887
Connected Components : 821
Single-Vertex Connected Components : 406
Maximum Vertices in a Connected Component : 12522
Maximum Edges in a Connected Component : 37801
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.076563
Graph Density : 0.000141050285198122
Modularity : 0.559126
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 14,289 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, 08 February 2023 at 21:02 UTC.
The tweets in the network were tweeted over the 3-day, 18-hour, 16-minute period from Sunday, 05 February 2023 at 01:47 UTC to Wednesday, 08 February 2023 at 20:04 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:
[2285] front,of [2279] #freetoomaj,#toomajsalehi [2279] of,iraninberlin [2279] #stopexecutioniniran,#iranrevolution [2277] demonstration,front [2277] many,colleagues [2277] spontaneous,demonstration [2277] #iranrevolution,#irgcterrorists [2277] arlt_johannes,called [2277] partygroups,came Top Word Pairs in Tweet in G1:
[103] #türkei,#syrien [98] abaerbock,svenjaschulze68 [96] people,victimis [96] injustices,deal [96] 20,years [96] #ortskrafte,accept [96] allies,worked [96] years,safe [96] asking,people [96] now,#justice Top Word Pairs in Tweet in G2:
[2233] #freetoomaj,#toomajsalehi [2233] of,iraninberlin [2233] front,of [2232] #stopexecutioniniran,#iranrevolution [2232] #toomajsalehi,#bundestag [2232] #iranrevolution,#irgcterrorists [2232] colleague,arlt_johannes [2232] iraninberlin,many [2232] came,#stopexecutioniniran [2232] #bundestag,#politicalsponsors Top Word Pairs in Tweet in G3:
[168] deutschen,bundestag [156] #bundestag,#brandner [156] #wk194,#berlin [156] #berlin,#bundestag [154] partei,bundestag [152] #deutschlandabernormal,#wirhabendasdirektmandat [141] halbe,bundestag [130] journaille,regemäßig [130] neuartiger,vernichtungskrieg [130] vernichtungskrieg,pausenlos Top Word Pairs in Tweet in G4:
[626] partei,bundestag [614] ruft,afd [614] moderator,kampf [614] rundfunk,moderator [614] moderator,georg [614] verpflichteter,rundfunk [614] kampf,anzusagen [614] kampf,partei [614] ard,moderator [614] georg,restle Top Word Pairs in Tweet in G5:
[97] scholz,bundestag [88] herr,bundeskanzler [85] bundestag,wolle [85] riskieren,krieg [85] schaden,deutschen [85] wolle,schaden [85] krieg,land [85] krieg,riskieren [85] deutschen,volk [85] ausweitet,herr Top Word Pairs in Tweet in G6:
[158] afd,bundestag [152] bundestag,member [142] world,now [142] expansion,east [142] of,nato's [142] represent,threat [142] russia,way [142] reaping,fruits [142] yevgeny,schmidt [142] minutes,show Top Word Pairs in Tweet in G7:
[18] deutschen,bundestag [16] olaf,scholz [11] 02,2023 [10] afd,fraktion [9] #rechtsterrorismus,#meinungsfreiheit [9] #demokratie,#medien [9] german,bundestag [9] #attacken,#panik [9] #panik,#rassismus [9] #morddrohungen,#attacken Top Word Pairs in Tweet in G8:
[112] sandrakhalatba1,tinosorge [110] betroffene,krankenkassen [110] forschung,erhalten [110] #impfschaeden,hilfe [110] erhalten,zusteht [110] #postvac,gipfel [110] gastgeber,sandrakhalatba1 [110] geladen,ärzte [110] gipfel,#bundestag [110] #bundestag,gastgeber Top Word Pairs in Tweet in G9:
[41] demokratie,bekämpfen [41] bekämpfen,bundestag [41] vielversprechend,schwächeln [41] #gesellschaftsrat,idee [41] schwächeln,demokratie [41] idee,geloste [41] gelten,vielmehr [41] geloste,repräsentative [41] bürgerräte,gelten [41] vielmehr,vielversprechend Top Word Pairs in Tweet in G10:
[29] großspenden,ticker [23] spende,bundespartei [16] #afd,abgeordneten [16] antwortet,frage [16] #energie,#putinwarcriminal [16] steffen,#kotre [16] deutschen,#bundestag [16] #bundestag,#energie [16] 265,050 [16] abgeordneten,steffen 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: