The graph represents a network of 12,611 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, 17 March 2022 at 19:09 UTC.
The tweets in the network were tweeted over the 3-hour, 39-minute period from Thursday, 17 March 2022 at 14:51 UTC to Thursday, 17 March 2022 at 18:31 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 : 12611
Unique Edges : 24503
Edges With Duplicates : 3725
Total Edges : 28228
Number of Edge Types : 5
Replies to : 2752
Retweet : 14681
MentionsInRetweet : 5590
Mentions : 3073
Tweet : 2132
Self-Loops : 2197
Reciprocated Vertex Pair Ratio : 0.00319144526878601
Reciprocated Edge Ratio : 0.00636258469674434
Connected Components : 1041
Single-Vertex Connected Components : 701
Maximum Vertices in a Connected Component : 10812
Maximum Edges in a Connected Component : 26236
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.761474
Graph Density : 0.000152202761445061
Modularity : 0.612285
NodeXL Version : 1.0.1.449
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=273204
Data Import : The graph represents a network of 12,611 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, 17 March 2022 at 19:09 UTC.
The tweets in the network were tweeted over the 3-hour, 39-minute period from Thursday, 17 March 2022 at 14:51 UTC to Thursday, 17 March 2022 at 18:31 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:
[1303] land,geiselhaft [816] deutschen,bundestag [690] geiselhaft,gruppe [688] 130,stgb [685] reicht,karl_lauterbach [685] karl_lauterbach,beschlossen [685] beschlossen,gem [685] gem,130 [685] stgb,#volksverhetzung [685] #volksverhetzung,anzuzeigen Top Word Pairs in Tweet in G1:
[719] land,geiselhaft [515] emilia,fester [485] lauterbach,bundestag [468] karl,lauterbach [404] deutschen,bundestag [379] impfen,lassen [352] bundestag,bringen [293] medizinischen,eingriff [286] ungeimpften,schuld [284] grünen,bundestag Top Word Pairs in Tweet in G2:
[175] ukrainischen,präsidenten [175] #selenskyj,#bundestag [149] rede,zelenskyyua [129] deutschen,bundestag [116] rede,#bundestag [113] präsident,zelenskyyua [107] eindringlichen,worte [101] #bundestag,#selenskyj [98] ukrainische,präsident [92] präsident,#selenskyj Top Word Pairs in Tweet in G3:
[537] land,geiselhaft [491] geiselhaft,gruppe [488] reicht,karl_lauterbach [488] karl_lauterbach,beschlossen [488] beschlossen,gem [488] gem,130 [488] 130,stgb [488] stgb,#volksverhetzung [488] #volksverhetzung,anzuzeigen [488] anzuzeigen,aussage Top Word Pairs in Tweet in G4:
[28] selenskyj,bundestag [25] rede,bundestag [24] deutschen,bundestag [19] selenskyj,rede [16] german,bundestag [16] headline,geändert [15] ukrainischen,präsidenten [11] el,bundestag [11] ante,el [10] #impfpflicht,#bundestag Top Word Pairs in Tweet in G5:
[397] address,bundestag [250] statement,followed [250] followed,president [250] president,volodymyr [250] volodymyr,zelensky [250] zelensky,address [250] bundestag,germany [250] germany,shares [250] shares,blame [250] blame,delays Top Word Pairs in Tweet in G6:
[146] freund,innen [146] innen,freiheit [146] impfen,lassen [131] freiheit,einfach [131] einfach,impfen [131] lassen,meisten [131] meisten,vernünftig [131] vernünftig,einfachen [131] einfachen,schritt [131] schritt,gegangen Top Word Pairs in Tweet in G7:
[105] 17,marca [94] kanclerz,scholz [94] scholz,jest [94] jest,beznadziejny [72] napisałem,jak [72] jak,ku [72] ku,zdumieniu [72] zdumieniu,własnych [72] własnych,politycznych [72] politycznych,elit Top Word Pairs in Tweet in G8:
[122] watched,zelenskyyua [122] zelenskyyua,speeches [122] speeches,european [122] european,parliament [122] parliament,uk [122] uk,house [122] house,of [122] of,commons [122] commons,now [122] now,bundestag Top Word Pairs in Tweet in G9:
[166] zelensky,bundestag [165] arnold,schwarzenegger [165] schwarzenegger,zugeschaltet [165] zugeschaltet,rede [165] rede,zelensky [64] selenskyj,bundestag [64] bundestag,verbindung [64] verbindung,konzern [64] konzern,russland [64] russland,land Top Word Pairs in Tweet in G10:
[225] ante,el [216] el,bundestag [177] el,presidente [139] la,guerra [112] habla,ante [101] virtual,ante [96] la,libertad [94] economía,economía [90] un,muro [89] presidente,#ucrania 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 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 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: