The graph represents a network of 15,149 Twitter users whose tweets in the requested range contained "list:digitalspacelab/mdb19wp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 September 2019 at 08:58 UTC.
The requested start date was Saturday, 31 August 2019 at 23:59 UTC and the maximum number of tweets (going backward in time) was 60,000.
The tweets in the network were tweeted over the 2218-day, 6-hour, 44-minute period from Saturday, 03 August 2013 at 13:19 UTC to Friday, 30 August 2019 at 20:04 UTC.
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.
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Author Description
Vertices : 440
Unique Edges : 1454
Edges With Duplicates : 8266
Total Edges : 9720
Number of Edge Types : 3
Mentions : 3824
Tweet : 5539
Replies to : 357
Self-Loops : 5539
Reciprocated Vertex Pair Ratio : 0.140482573726542
Reciprocated Edge Ratio : 0.246356370474847
Connected Components : 48
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 391
Maximum Edges in a Connected Component : 9391
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.081892
Graph Density : 0.0110115966038517
Modularity : 0.147541
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[64] mã,ssen [51] ðÿ,ðÿ [44] c_kampmann,miro_spd [42] kã,nnen [41] karl_lauterbach,spdbt [41] spdbt,beatricevf1 [40] canselk,sawsanchebli [40] sawsanchebli,forum_dl21 [40] forum_dl21,hildemattheis [39] not1proud,atklauner Top Word Pairs in Tweet in SPD:
[44] c_kampmann,miro_spd [41] karl_lauterbach,spdbt [41] spdbt,beatricevf1 [40] canselk,sawsanchebli [40] sawsanchebli,forum_dl21 [40] forum_dl21,hildemattheis [39] not1proud,atklauner [39] hildemattheis,heldtmarcel [38] heldtmarcel,jens_kulikoff [37] atklauner,linkespd Top Word Pairs in Tweet in CDU/CSU:
[22] brihasselmann,gruenebundestag [22] gruenebundestag,fdp_fraktion [15] cducsubt,cdu [14] ingo,#senftleben [13] mã,ssen [11] thomcgn,bverfg [11] bverfg,marcfelixserrao [11] marcfelixserrao,luebberding [11] luebberding,altenbockum [11] altenbockum,welt Top Word Pairs in Tweet in FDP:
[18] olafscholz,peteraltmaier [17] abschaffung,#soli [14] ðÿ,ðÿ [11] vollständige,abschaffung [11] code,of [11] of,conduct [10] verrohung,sitten [10] sitten,aufsichtsrat [10] aufsichtsrat,falls [10] heißt,code Top Word Pairs in Tweet in AfD:
[24] #afd,#nurnochafd [23] #afd,#afdwirkt [20] deutschland,#afd [17] #afd,#afdimbundestag [14] bundestagsfraktion,alternative [14] #afd,vertreten [14] vertreten,landesgruppe [14] landesgruppe,#nrw [14] co,9gohq88mkv [13] alternative,deutschland Top Word Pairs in Tweet in Bündnis 90/Die Grünen:
[13] herzlichen,glückwunsch [11] cdu,csu [11] cem_oezdemir,danywagner_da [10] stephankuehn,sven_kindler [10] sven_kindler,cem_oezdemir [9] ignatz,bubis [8] sz,andischeuer [8] radkolumne,joerg_spengler [8] joerg_spengler,stephankuehn [7] bubis,preis Top Word Pairs in Tweet in Die Linke:
[12] kã,nnen [9] mã,ssen [9] mitarbeiter,innen [8] #thule,netz [7] #noafd,#nonazis [7] hã,tte [7] abgeordnete,gesetzliche [7] betroffenen,mitarbeiter [7] innen,amp [7] amp,anwälte Top Word Pairs in Tweet in fraktionslos:
[6] attitude_right,fraukepetry [4] fakt,scooter [3] kã,nnen [3] #blauepartei,#teampetry [3] hilmarklunder,chris1093l [3] chris1093l,fraukepetry [2] bmwi_bund,windkraftfrei [2] windkraftfrei,peteraltmaier [2] peteraltmaier,thomas_bareiss [2] thomas_bareiss,olavgutting 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: