The graph represents a network of 3,955 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 50,000 tweets, tweeted between 8/1/2023 12:00:00 AM and 8/31/2023 11:59:59 PM. The network was obtained from Twitter on Monday, 11 September 2023 at 17:23 UTC.
The tweets in the network were tweeted over the 1955-day, 4-hour, 42-minute period from Saturday, 05 May 2018 at 14:40 UTC to Monday, 11 September 2023 at 19:22 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 : 3741
Unique Edges : 4731
Edges With Duplicates : 10266
Total Edges : 14997
Number of Edge Types : 7
Replies to : 4703
Quote : 1492
MentionsInReplyTo : 3072
Mentions : 1748
Tweet : 3440
MentionsInQuote : 466
MentionsInQuoteReply : 76
Self-Loops : 4875
Reciprocated Vertex Pair Ratio : 0.0077269800386349
Reciprocated Edge Ratio : 0.0153354632587859
Connected Components : 46
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 3667
Maximum Edges in a Connected Component : 14683
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.084906
Graph Density : 0.000447419618135218
Modularity : 0.295044
NodeXL Version : 1.0.1.522
Data Import : The graph represents a network of 3,955 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 50,000 tweets, tweeted between 8/1/2023 12:00:00 AM and 8/31/2023 11:59:59 PM. The network was obtained from Twitter on Monday, 11 September 2023 at 17:23 UTC.
The tweets in the network were tweeted over the 1955-day, 4-hour, 42-minute period from Saturday, 05 May 2018 at 14:40 UTC to Monday, 11 September 2023 at 19:22 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:
[80] #berlin,#bundestag [79] #bundestag,#brandner [78] #wk194,#berlin [69] #deutschlandabernormal,#wirhabendasdirektmandat [60] herzlichen,glückwunsch [55] #telegram,folgt [55] folgt,co [55] verpasst,neuigkeiten [55] findet,#telegram [51] #crpd,#un_brk Top Word Pairs in Tweet in G1:
[51] #crpd,#un_brk [21] #un_brk,#staatenprüfung [16] milliarden,euro [16] unseres,landes [15] danke,lisapaus [14] unserem,land [13] christian,lindner [13] herzlichen,glückwunsch [12] kinder,armut [10] freiheit,demokratie Top Word Pairs in Tweet in G2:
[32] digitalen,orbit [32] musiktipp,draußen [32] draußen,digitalen [19] bordesholm,musiktipp [19] guten,bordesholm [12] spdbt,seeheimer [10] herzlichen,glückwunsch [10] carlomasala1,anwaltsgelaber [9] politische,bildung [9] cdu,csu Top Word Pairs in Tweet in G3:
[20] esparkommissar,holzheustefan [17] m_hundhausen,esparkommissar [14] ct,kwh [12] #agrivoltaics,#india [12] #solar,#agripv [11] gruenmeyer,cj_schroeder [11] jn_gesenhues,kathrinanna [11] ingrid_nestle,jn_gesenhues [11] gruenebundestag,badumlisa [11] #agripv,#agrivoltaics Top Word Pairs in Tweet in G4:
[31] liebe,freunde [20] sitzt,kreml [15] #putin,#angriffskrieg [10] abzug,invasionstruppen [9] letzten,monat [8] kriegstreiber,sitzt [7] c_lindner,nope [6] marschflugkörper,#taurus [6] aggressor,kreml [6] #invasionstruppen,heimreise Top Word Pairs in Tweet in G5:
[55] findet,#telegram [55] folgt,co [55] verpasst,neuigkeiten [55] #telegram,folgt [50] oo7bogddms,verpasst [50] co,oo7bogddms [7] romanreher,btcimbundestag [5] oo7bogdlcq,verpasst [5] co,oo7bogdlcq [4] 000,euro Top Word Pairs in Tweet in G6:
[79] #bundestag,#brandner [79] #berlin,#bundestag [78] #wk194,#berlin [69] #deutschlandabernormal,#wirhabendasdirektmandat [44] #fürdiebürger,#afd [41] #wirhabendasdirektmandat,#gera [36] #afd,#thüringen [35] #thüringen,#deutschlandabernormal [34] #gera,#greiz [32] #greiz,#altenburg Top Word Pairs in Tweet in G7:
[4] bmel,dag_presse [4] dag_presse,vzbv [4] anzeige,raus [3] #kinderschutz,#werbung [3] ahmadmansour__,anzeige [3] 35,mrd [3] schritt,schritt [2] maßnahmen,brauchen [2] future,of [2] brauchen,kinder Top Word Pairs in Tweet in G8:
[5] shikmabressler,spdde [5] maor_x,shikmabressler [5] jessi_rosenthal,spdbt [5] michaelkausb,hofmeisterauslu [4] carmpfen0,dcipriano83 [4] 31,juli [4] kurkamp,jessi_rosenthal [4] unserem,land [4] herzlichen,glückwunsch [3] konzept,finanzierung Top Word Pairs in Tweet in G9:
[30] kaiwegner,cduberlin [11] cduberlin,merci [6] michaaeianders,lachfrosch24 [5] bürgerinnen,bürgern [4] datkuddelmuddel,wasistimmer [4] cdu,fdp [4] herzlichen,glückwunsch [4] profcha0s84,tijhn [4] #summerinthecity,tour [4] tijhn,wasistimmer Top Word Pairs in Tweet in G10:
[5] tages,#wanderung [4] sicherheit,vorrang [4] auswirkungen,verkehr [4] energiepolitischer,geisterfahrer [4] #wanderung,wahlkreis [4] wahlkreis,#nürtingen [4] #afd,#nurnochafd [4] deutsche,staat [3] meldung,personen [3] db_bahn,bvg_kampagne 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: