The graph represents a network of 1,596 Twitter users whose recent tweets contained "list:912241909002833921", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 12/1/2023 12:00:00 AM and 12/5/2023 1:18:23 PM. The network was obtained from Twitter on Tuesday, 05 December 2023 at 12:50 UTC.
The tweets in the network were tweeted over the 815-day, 3-hour, 58-minute period from Saturday, 11 September 2021 at 09:52 UTC to Tuesday, 05 December 2023 at 13:50 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
The graph is directed.
The graph's vertices were grouped by party values.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 4872
Unique Edges : 8010
Edges With Duplicates : 14250
Total Edges : 22260
Number of Edge Types : 9
Retweet : 6352
MentionsInRetweet : 2107
Quote : 1362
MentionsInQuote : 460
Replies to : 4037
MentionsInReplyTo : 2448
Mentions : 1666
Tweet : 3711
MentionsInQuoteReply : 117
Self-Loops : 5248
Reciprocated Vertex Pair Ratio : 0.0137579372715028
Reciprocated Edge Ratio : 0.027142450412831
Connected Components : 39
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 4825
Maximum Edges in a Connected Component : 22115
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.882045
Graph Density : 0.000444008793034342
Modularity : 0.016521
NodeXL Version : 1.0.1.528
Data Import : The graph represents a network of 1,596 Twitter users whose recent tweets contained "list:912241909002833921", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 12/1/2023 12:00:00 AM and 12/5/2023 1:18:23 PM. The network was obtained from Twitter on Tuesday, 05 December 2023 at 12:50 UTC.
The tweets in the network were tweeted over the 815-day, 3-hour, 58-minute period from Saturday, 11 September 2021 at 09:52 UTC to Tuesday, 05 December 2023 at 13:50 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : list:912241909002833921
Groups : The graph's vertices were grouped by party values.
Edge Width : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[107] wolfgang,schäuble [99] herzlichen,glückwunsch [91] wolfgang,#schäuble [71] milliarden,euro [63] #bundestag,#brandner [62] #berlin,#bundestag [61] unserem,land [60] #wk194,#berlin [53] co2,preis [51] cdu,csu Top Word Pairs in Tweet in Die Grünen:
[36] herzlichen,glückwunsch [26] fossilen,energien [24] wolfgang,schäuble [22] klimaschädliche,subventionen [21] unserem,land [20] erneuerbare,energien [19] reform,schuldenbremse [19] ausstieg,fossilen [19] wolfgang,wieland [19] #lossanddamage,fonds Top Word Pairs in Tweet in CDU/CSU:
[46] wolfgang,schäuble [36] wolfgang,#schäuble [19] a_watch,zdfheute [18] herzlichen,glückwunsch [14] dr,wolfgang [14] karl,josef [14] unserem,land [13] gluckswine,a_watch [13] cducsubt,cdu [12] co2,preis Top Word Pairs in Tweet in SPD:
[30] digitalen,orbit [30] musiktipp,draußen [30] draußen,digitalen [17] bordesholm,musiktipp [17] guten,bordesholm [15] wolfgang,schäuble [15] herzlichen,glückwunsch [14] olaf,scholz [14] wolfgang,#schäuble [11] bundeskanzler,olaf Top Word Pairs in Tweet in FDP:
[32] liebe,freunde [31] 15,mrd [29] milliarden,euro [29] 15,milliarden [27] #bundeshaushalt,2024 [25] solide,staatsfinanzen [23] entlasten,betriebe [23] fdp,fdp [23] zeigt,wirkung [23] betriebe,deutschland Top Word Pairs in Tweet in AfD:
[63] #bundestag,#brandner [62] #berlin,#bundestag [60] #wk194,#berlin [50] #deutschlandabernormal,#wirhabendasdirektmandat [34] #fürdiebürger,#afd [29] #wirhabendasdirektmandat,#gera [25] #gera,#greiz [22] #wirhabendasdirektmandat,#wk194 [22] #afd,#thüringen [21] #thüringen,#deutschlandabernormal Top Word Pairs in Tweet in Die Linke:
[22] linksfraktion,dielinke [18] petra,pau [12] linksfraktion,bundestag [11] 28,gründe [10] co2,preis [10] starke,dielinke [10] cdu,csu [10] bleibt,bundestag [10] milliarden,euro [10] dielinke,#bundestag Top Word Pairs in Tweet in fraktionslos:
[28] beitrag,facebook [28] sieh,beitrag [27] beitrag,sieh [2] innere,sicherheit [2] deutschland,braucht [2] pull,faktoren [2] #ampel,setzt Top Replied-To in Entire Graph:
Top Replied-To in Die Grünen:
Top Replied-To in CDU/CSU:
Top Replied-To in SPD:
Top Replied-To in FDP:
Top Replied-To in AfD:
Top Replied-To in Die Linke:
Top Mentioned in Entire Graph:
Top Mentioned in Die Grünen:
Top Mentioned in CDU/CSU:
Top Mentioned in SPD:
Top Mentioned in FDP:
Top Mentioned in AfD:
Top Mentioned in Die Linke:
Top Mentioned in fraktionslos:
Top Tweeters in Entire Graph:
Top Tweeters in xternal:
Top Tweeters in Die Grünen:
Top Tweeters in CDU/CSU:
Top Tweeters in SPD:
Top Tweeters in FDP:
Top Tweeters in AfD:
Top Tweeters in Die Linke:
Top Tweeters in fraktionslos: