The graph represents a network of 3,884 Twitter users whose recent tweets contained "list:digitalspacelab/mdb19wp", 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 Saturday, 17 August 2019 at 14:13 UTC.
The tweets in the network were tweeted over the 9-day, 12-hour, 14-minute period from Thursday, 08 August 2019 at 01:19 UTC to Saturday, 17 August 2019 at 13:34 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 party values.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 376
Unique Edges : 778
Edges With Duplicates : 2959
Total Edges : 3737
Number of Edge Types : 4
Mentions : 1196
Tweet : 1873
Retweet : 521
Replies to : 147
Self-Loops : 1937
Reciprocated Vertex Pair Ratio : 0.11358574610245
Reciprocated Edge Ratio : 0.204
Connected Components : 64
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 308
Maximum Edges in a Connected Component : 3521
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.584471
Graph Density : 0.00709219858156028
Modularity : 0.188954
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[41] karl_lauterbach,spdbt [41] spdbt,beatricevf1 [41] c_kampmann,miro_spd [41] canselk,sawsanchebli [41] sawsanchebli,forum_dl21 [41] forum_dl21,hildemattheis [40] hildemattheis,heldtmarcel [39] not1proud,atklauner [39] heldtmarcel,jens_kulikoff [38] miro_spd,h_j_schweitzer Top Word Pairs in Tweet in SPD:
[41] karl_lauterbach,spdbt [41] spdbt,beatricevf1 [41] c_kampmann,miro_spd [41] canselk,sawsanchebli [41] sawsanchebli,forum_dl21 [41] forum_dl21,hildemattheis [40] hildemattheis,heldtmarcel [39] not1proud,atklauner [39] heldtmarcel,jens_kulikoff [38] miro_spd,h_j_schweitzer Top Word Pairs in Tweet in CDU/CSU:
[22] brihasselmann,gruenebundestag [22] gruenebundestag,fdp_fraktion [11] thomcgn,bverfg [11] bverfg,marcfelixserrao [11] marcfelixserrao,luebberding [11] luebberding,altenbockum [11] altenbockum,welt [11] welt,tagesspiegel [11] tagesspiegel,ruppert_stefan [11] ruppert_stefan,manuelarottman Top Word Pairs in Tweet in FDP:
[15] abschaffung,#soli [11] 2020,verfassungswidrig [8] vollständige,abschaffung [7] #soli,verfassungswidrig [6] peteraltmaier,#soli [6] rot,rot [6] #rezession,verhindern [6] co2,steuer [6] n_heisterhagen,derdanyal [6] derdanyal,w_schmidt_ Top Word Pairs in Tweet in AfD:
[18] afdimbundestag,afd [10] #afd,#afdimbundestag [9] #fragdenbartsch,afdimbundestag [9] #afd,#afdwirkt [7] #afd,#nurnochafd [6] euro,pro [6] #co2,steuer [6] jan,zwerg [6] co2,steuer [6] arabisches,land Top Word Pairs in Tweet in Bündnis 90/Die Grünen:
[8] cdu,csu [7] reduzierung,wahlkreise [6] verkehrsminister,andischeuer [6] gruenebundestag,fdp_fraktion [6] andischeuer,bmvi [6] yjadot,karimadelli [6] matthiasgastel,candidate_verte [5] höchste,wahlrechtsreform [5] wahlrechtsreform,gruenebundestag [5] fdp_fraktion,reduzierung Top Word Pairs in Tweet in Die Linke:
[9] mitarbeiter,innen [7] abgeordnete,gesetzliche [7] betroffenen,mitarbeiter [7] innen,amp [7] amp,anwälte [7] anwälte,standen [7] standen,monatelang [7] monatelang,pranger [7] pranger,politik [7] politik,amp Top Word Pairs in Tweet in fraktionslos:
[2] interessenkonflikt,klimawandel [2] klimawandel,geldmachen [2] geldmachen,erstaunlich [2] erstaunlich,verdummen [2] verdummen,lassen [2] lassen,schnell [2] schnell,bereit [2] bereit,ablaßhändlern [2] ablaßhändlern,hinterherzulaufen [2] hinterherzulaufen,bleibt Top Replied-To in Entire Graph:
Top Replied-To in SPD:
Top Replied-To in CDU/CSU:
Top Replied-To in FDP:
Top Replied-To in AfD:
Top Replied-To in Bündnis 90/Die Grünen:
Top Replied-To in Die Linke:
Top Replied-To in fraktionslos:
Top Mentioned in Entire Graph:
Top Mentioned in SPD:
Top Mentioned in CDU/CSU:
Top Mentioned in FDP:
Top Mentioned in AfD:
Top Mentioned in Bündnis 90/Die Grünen:
Top Mentioned in Die Linke:
Top Mentioned in fraktionslos:
Top Tweeters in Entire Graph:
Top Tweeters in SPD:
Top Tweeters in CDU/CSU:
Top Tweeters in FDP:
Top Tweeters in AfD:
Top Tweeters in Bündnis 90/Die Grünen:
Top Tweeters in Die Linke:
Top Tweeters in fraktionslos: