The graph represents a network of 13,022 Twitter users whose recent tweets contained "FDP lang:de", 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 Tuesday, 31 May 2022 at 12:07 UTC.
The tweets in the network were tweeted over the 1-day, 7-hour, 3-minute period from Monday, 30 May 2022 at 04:30 UTC to Tuesday, 31 May 2022 at 11:34 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 : 13022
Unique Edges : 28730
Edges With Duplicates : 10962
Total Edges : 39692
Number of Edge Types : 5
Replies to : 7549
Tweet : 1668
Retweet : 9941
MentionsInRetweet : 8570
Mentions : 11964
Self-Loops : 1747
Reciprocated Vertex Pair Ratio : 0.0140932372035364
Reciprocated Edge Ratio : 0.0277947563133344
Connected Components : 988
Single-Vertex Connected Components : 545
Maximum Vertices in a Connected Component : 11236
Maximum Edges in a Connected Component : 38089
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.811355
Graph Density : 0.000183328017400763
Modularity : 0.494007
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 13,022 Twitter users whose recent tweets contained "FDP lang:de", 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 Tuesday, 31 May 2022 at 12:07 UTC.
The tweets in the network were tweeted over the 1-day, 7-hour, 3-minute period from Monday, 30 May 2022 at 04:30 UTC to Tuesday, 31 May 2022 at 11:34 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 : FDP lang:de
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:
[1270] fdp,c_lindner [1060] fdp,#tankrabatt [925] danke,nix [921] hey,fdp [919] pünktlich,tankrabatt [919] euro,kostet [919] kostet,steuerzahler [919] vernünftigen,öpnv [918] c_lindner,benzin [918] benzin,pünktlich Top Word Pairs in Tweet in G1:
[131] fdp,#tankrabatt [93] fdp,zeigt [91] marcobuschmann,fdp [78] icureiosity,henningt6 [78] krefelder78,digidingens [78] digidingens,fdp [75] danke,#fdp [73] fdp,c_lindner [72] hubertus_heil,bundeskanzler [72] bundeskanzler,spdde Top Word Pairs in Tweet in G2:
[1119] fdp,c_lindner [849] hey,fdp [849] danke,nix [848] pünktlich,tankrabatt [848] vernünftigen,öpnv [847] c_lindner,benzin [847] benzin,pünktlich [847] tankrabatt,30 [847] 30,vorher [847] vorher,00 Top Word Pairs in Tweet in G3:
[205] cdu,csu [130] spdde,fdp [122] strack,zimmermann [109] fdp,die_gruenen [108] fdp,cdu [107] spd,fdp [95] fdp,stellt [95] stellt,scholz [95] scholz,panzer [95] panzer,ultimatum Top Word Pairs in Tweet in G4:
[376] millionen,euro [245] fdp,#tankrabatt [228] andreasscheuer,fdp [191] mitglied,fdp [189] nochmal,deutlichkeit [189] deutlichkeit,chef [189] chef,bundeskartellamt [189] bundeskartellamt,mitglied [188] maut,debakel [188] debakel,steuerzahlenden Top Word Pairs in Tweet in G5:
[424] fdp,#tankrabatt [418] danke,#fdp [416] #tankrabatt,debakel [416] debakel,schaut [416] schaut,mineralölkonzerne [416] mineralölkonzerne,ankündigung [416] ankündigung,reagiert [416] reagiert,preise [416] preise,kurzfristig [416] kurzfristig,angehoben Top Word Pairs in Tweet in G6:
[398] genialität,fdp [398] fdp,zeigt [396] zeigt,wiedermal [396] wiedermal,unmissverständlich [396] unmissverständlich,versprochene [396] versprochene,entlastung [396] entlastung,bürgerinnen [396] bürgerinnen,bürger [396] bürger,einzigartigen [396] einzigartigen,erfolgen Top Word Pairs in Tweet in G7:
[18] markt,regelt [13] fdp,stellt [13] stellt,scholz [13] scholz,panzer [13] panzer,ultimatum [12] #lindner,#fdp [12] strack,zimmermann [11] spd,fdp [10] cdu,fdp [9] #fdp,#tankrabatt Top Word Pairs in Tweet in G8:
[81] tagesschau,fdp [61] öl,konzerne [56] fdp,mission [56] mission,erfüllt [56] erfüllt,mrd [56] mrd,steuergelder [56] steuergelder,öl [56] konzerne,überweisen [38] #tankrabatt,#fdp [36] milliarden,mineralölunternehmen Top Word Pairs in Tweet in G9:
[196] frauen,mädchen [196] mädchen,menstruieren [170] #ampel,#fdp [169] ausgerechnet,sprecher [169] sprecher,fdp [169] fdp,bundestagsfraktion [169] bundestagsfraktion,forschung [169] forschung,spricht [169] spricht,öffentlich [169] öffentlich,frauen Top Word Pairs in Tweet in G10:
[18] fdp,mitte [18] obrigkeitshörige,liberale [18] liberale,fdp_liberalen [18] fdp_liberalen,findet [18] findet,überwachung [18] überwachung,toll [18] toll,einfach [18] einfach,technisch [18] technisch,denkt [18] denkt,nächste 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: