The graph represents a network of 408 Twitter users whose recent tweets contained ""streng nach Recht und Gesetz"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 01 July 2020 at 08:25 UTC.
The tweets in the network were tweeted over the 22-hour, 18-minute period from Tuesday, 30 June 2020 at 10:00 UTC to Wednesday, 01 July 2020 at 08:18 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 cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 408
Unique Edges : 678
Edges With Duplicates : 36
Total Edges : 714
Number of Edge Types : 5
Tweet : 39
Retweet : 351
MentionsInRetweet : 242
Replies to : 43
Mentions : 39
Self-Loops : 39
Reciprocated Vertex Pair Ratio : 0.00151975683890578
Reciprocated Edge Ratio : 0.00303490136570561
Connected Components : 36
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 339
Maximum Edges in a Connected Component : 650
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.559634
Graph Density : 0.00396854073324662
Modularity : 0.641459
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 408 Twitter users whose recent tweets contained ""streng nach Recht und Gesetz"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 01 July 2020 at 08:25 UTC.
The tweets in the network were tweeted over the 22-hour, 18-minute period from Tuesday, 30 June 2020 at 10:00 UTC to Wednesday, 01 July 2020 at 08:18 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : "streng nach Recht und Gesetz"
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 Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[423] streng,gesetz [341] gesetz,verfahren [195] #tönnies,streng [132] erstaunlich,räumt [132] räumt,arminlaschet [132] arminlaschet,statement [132] statement,nrw [132] nrw,#tönnies [62] #laschet,streng [58] gesetz,entschieden Top Word Pairs in Tweet in G1:
[134] streng,gesetz [132] gesetz,verfahren [127] #tönnies,streng [123] erstaunlich,räumt [123] räumt,arminlaschet [123] arminlaschet,statement [123] statement,nrw [123] nrw,#tönnies [7] arminlaschet,#tönnies [4] ehekrach,tönnies Top Word Pairs in Tweet in G2:
[57] streng,gesetz [52] #laschet,streng [52] gesetz,entschieden [52] entschieden,war's [52] war's,bitte [52] bitte,vorher [52] vorher,#corona [52] #corona,#toennies [5] gesetz,verfahren [3] verfahren,och Top Word Pairs in Tweet in G3:
[43] streng,gesetz [42] #tönnies,streng [42] gesetz,verfahren [40] armin,#laschet [40] #laschet,verkündet [40] verkündet,#tönnies [40] verfahren,kooperiert [40] kooperiert,politischen [40] politischen,statements [40] statements,bullshit Top Word Pairs in Tweet in G4:
[39] streng,gesetz [36] gesetz,verfahren [25] #laschet,eigentlich [25] eigentlich,sagen [25] sagen,#tönnies [25] #tönnies,ausklüngeln [25] ausklüngeln,hinschauen [25] hinschauen,streng [25] verfahren,ministerpräsident [25] ministerpräsident,klarstellen Top Word Pairs in Tweet in G5:
[35] streng,gesetz [31] gesetz,verfahren [27] phoenix_de,landnrw [27] landnrw,arminlaschet [13] arminlaschet,streng [7] arminlaschet,moment [7] moment,streng [7] verfahren,reichen [7] reichen,interessengeleiteten [7] interessengeleiteten,zuwendungen Top Word Pairs in Tweet in G6:
[22] streng,gesetz [22] gesetz,verfahren [18] verfahren,vorher [18] vorher,statement [18] statement,ministerpräsidenten [18] ministerpräsidenten,nrw [18] nrw,arminlaschet [18] arminlaschet,irritiert [18] irritiert,#tönnies [18] #tönnies,renatekuenast Top Word Pairs in Tweet in G7:
[19] streng,gesetz [16] gesetz,verfahren [3] verfahren,vorher [3] #laschet,#toennies Top Word Pairs in Tweet in G8:
[18] #tönnies,streng [18] streng,gesetz [18] gesetz,verfahren [17] sonderbehandlung,großunternehmen [17] großunternehmen,schaden [17] schaden,vertrauen [17] vertrauen,demokratie [17] demokratie,#tönnies [17] verfahren,ordnungsbehördlichen [17] ordnungsbehördlichen,regeln Top Word Pairs in Tweet in G9:
[15] mp,laschet [15] laschet,land [15] land,nrw [15] nrw,streng [15] streng,gesetz [15] gesetz,verfahren [15] verfahren,#toennies [15] #toennies,doofe [15] doofe,frage [15] frage,lief Top Word Pairs in Tweet in G10:
[6] streng,gesetz [5] gesetz,verfahren [4] polenz_r,erik_fluegge [2] polenz_r,arminlaschet [2] arminlaschet,danke [2] danke,anhand [2] anhand,ausschnitts [2] ausschnitts,sagen [2] sagen,selbstverpflichtungen [2] selbstverpflichtungen,einzelpersönlichkeit Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
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 G5:
Top Mentioned in G6:
Top Mentioned in G8:
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: