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 cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5448
Unique Edges : 11983
Edges With Duplicates : 17554
Total Edges : 29537
Number of Edge Types : 9
Mentions : 4338
Retweet : 6428
MentionsInReplyTo : 2826
Tweet : 6574
Quote : 1892
Replies to : 4488
MentionsInQuote : 738
MentionsInQuoteReply : 132
MentionsInRetweet : 2121
Self-Loops : 8436
Reciprocated Vertex Pair Ratio : 0.0525760771316662
Reciprocated Edge Ratio : 0.0998998139401746
Connected Components : 54
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 5366
Maximum Edges in a Connected Component : 29371
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.963322
Graph Density : 0.000470897369849143
Modularity : 0.315961
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 cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[129] wolfgang,schäuble [121] herzlichen,glückwunsch [105] wolfgang,#schäuble [95] milliarden,euro [80] unserem,land [77] cdu,csu [67] co2,preis [63] #bundestag,#brandner [62] #berlin,#bundestag [62] jüdinnen,juden Top Word Pairs in Tweet in G1:
[63] wolfgang,schäuble [58] wolfgang,#schäuble [38] herzlichen,glückwunsch [38] olaf,scholz [37] cdu,csu [30] draußen,digitalen [30] musiktipp,draußen [30] digitalen,orbit [27] bundeskanzler,olaf [26] friedrich,merz Top Word Pairs in Tweet in G2:
[36] milliarden,euro [30] 15,mrd [30] #bundeshaushalt,2024 [28] beitrag,facebook [28] sieh,beitrag [28] 15,milliarden [27] beitrag,sieh [24] arbeitende,mitte [24] solide,staatsfinanzen [22] minister,c_lindner Top Word Pairs in Tweet in G3:
[36] herzlichen,glückwunsch [30] fossilen,energien [26] deported,#auschwitz [23] wolfgang,schäuble [22] erneuerbare,energien [22] unserem,land [22] robert,habeck [21] murdered,gas [21] klimaschädliche,subventionen [20] gas,chamber Top Word Pairs in Tweet in G4:
[63] #bundestag,#brandner [62] #berlin,#bundestag [60] #wk194,#berlin [50] #deutschlandabernormal,#wirhabendasdirektmandat [34] #reformoerr,#oerrblog [34] #fürdiebürger,#afd [29] #wirhabendasdirektmandat,#gera [25] #gera,#greiz [24] afd,afdimbundestag [24] afdimbundestag,alternativenrw Top Word Pairs in Tweet in G5:
[22] linksfraktion,dielinke [18] petra,pau [12] #geas,reform [12] linksfraktion,bundestag [11] co2,preis [11] soziale,gerechtigkeit [11] 28,gründe [11] bleibt,bundestag [11] linke,bleibt [10] starke,dielinke Top Word Pairs in Tweet in G6:
[16] nova_b_7,ppostmax [5] netz,gegangenen [5] ausgleichs,april [5] april,netz [5] gegangenen,atomstromengen [5] atomstromengen,auslöst [5] sturm,simple [5] wow,treffer [5] simple,feststellung [5] bilanziellen,ausgleichs Top Word Pairs in Tweet in G7:
[31] liebe,freunde [14] #putin,#angriffskrieg [6] #irist,#gepard [5] #patriot,#irist [5] putins,terror [5] of,state [5] heimreise,motivieren [5] freunde,#putin [5] minister,of [4] 1300,km Top Word Pairs in Tweet in G8:
[10] global,#refugeeforum [7] ministerin,svenjaschulze68 [6] rapper,officialtoomaj [6] of,state [5] economic,cooperation [5] iranian,regime [5] federal,ministry [5] state,secretary [5] political,sponsor [4] iranian,rapper Top Word Pairs in Tweet in G9:
[3] kurdisches,leben [3] rot,grün [3] ausschreibungsdesign,#offshorewindenergie [3] berlin,lectures [3] lectures,#energy [3] priesbeckbe,#nederlandupdate [3] vd,lee [2] falschen,realität [2] 40,boote [2] meter,marke Top Word Pairs in Tweet in G10:
[2] #deutschland,braucht [2] walk,of [2] permanentes,unterbrechen [2] unterbrechen,verbreiten [2] of,life [2] frechheit,örr [2] brothers,arms [2] #weckruffreiheit,#mitgliedervotumja [2] #mitgliedervotumja,#fdp [2] nennt,#cdu 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: