The graph represents a network of 4,197 Twitter users whose recent tweets contained "#rp22", 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 Thursday, 09 June 2022 at 09:15 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 47-minute period from Tuesday, 31 May 2022 at 13:04 UTC to Thursday, 09 June 2022 at 08:52 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 : 4197
Unique Edges : 9998
Edges With Duplicates : 7060
Total Edges : 17058
Number of Edge Types : 5
Mentions : 4037
Retweet : 4628
MentionsInRetweet : 4866
Replies to : 582
Tweet : 2945
Self-Loops : 2978
Reciprocated Vertex Pair Ratio : 0.0628875968992248
Reciprocated Edge Ratio : 0.118333485276689
Connected Components : 407
Single-Vertex Connected Components : 347
Maximum Vertices in a Connected Component : 3571
Maximum Edges in a Connected Component : 16161
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.490107
Graph Density : 0.000622863078239416
Modularity : 0.417498
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,197 Twitter users whose recent tweets contained "#rp22", 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 Thursday, 09 June 2022 at 09:15 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 47-minute period from Tuesday, 31 May 2022 at 13:04 UTC to Thursday, 09 June 2022 at 08:52 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 : #rp22
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:
[640] re,publica [597] #rp22,#anyway [403] republica,#rp22 [319] #rp22,let's [319] let's,not [319] not,fuck [318] sorgen,unterschätzt [318] unterschätzt,fatale [318] fatale,politische [318] politische,entscheidungen Top Word Pairs in Tweet in G1:
[187] #rp22,#anyway [113] re,publica [107] republica,#rp22 [35] bm,hubertus_heil [34] vorsitzende,fahimiyasmin [32] #rp22,republica [28] 10,juni [28] 12,30 [27] fahimiyasmin,#rp22 [24] diskutiert,#rp22 Top Word Pairs in Tweet in G2:
[137] maja,göpel [123] göpel,beyond_ideology [98] re,publica [92] beyond_ideology,#rp22 [76] #rp22,#anyway [71] republica,#rp22 [61] #rp22,republica [57] erneuerbare,energien [38] ckemfert,#rp22 [36] #ukraine,#rp22 Top Word Pairs in Tweet in G3:
[141] re,publica [129] republica,#rp22 [88] #rp22,#anyway [57] #rp22,republica [52] saschalobo,#rp22 [42] #ssrb,#rp22 [33] social,media [30] berlin,#rp22 [28] stage,#rp22 [27] 10,juni Top Word Pairs in Tweet in G4:
[39] re,publica [38] #papuaindonesia,celtics [38] celtics,#rp22 [19] #gereng,#rp22 [15] #berlin,#rp22 [12] #gender,#gendergaga [12] #gendergaga,#geschlechter [12] #gez,#cdu [12] #merkel,#ampel [12] #ampel,#scholz Top Word Pairs in Tweet in G5:
[264] sorgen,unterschätzt [264] unterschätzt,fatale [264] fatale,politische [264] politische,entscheidungen [264] entscheidungen,getroffen [264] getroffen,chancen [264] chancen,intaktes [264] intaktes,klima [264] klima,schreddert [264] schreddert,freitag Top Word Pairs in Tweet in G6:
[75] #rp22,#anyway [33] re,publica [22] republica,#rp22 [22] jörg,schönenborn [21] #republica,#rp22 [17] 15,minuten [17] _alexfuture,damossb [17] woche,republica [16] #rp22,geflüchtet [16] geflüchtet,selten Top Word Pairs in Tweet in G7:
[23] #rp22,#anyway [14] beyond_ideology,#rp22 [13] re,publica [11] journalist,innen [10] inaruck,keigendorf [9] keigendorf,#rp22 [9] programm,#rp22 [9] inaruck,#rp22 [8] ard,perspective [8] perspective,lab Top Word Pairs in Tweet in G8:
[44] re,publica [19] stand,d08 [17] liebe,leute [17] leute,#rp22 [17] #rp22,schaut [17] schaut,rein [17] rein,freitag [17] freitag,gelegenheit [17] gelegenheit,thema [17] thema,#polizeiproblem Top Word Pairs in Tweet in G9:
[25] #distributeddesignplatform,#creativeeurope [24] civic,tech [19] #rp22,#digitaldemocracy [18] re,publica [18] #wearegig,#rp22 [18] #creativeeurope,#wearegig [16] code4africa,electher_ng [16] electher_ng,amnestymali [16] amnestymali,connected_dev [16] connected_dev,forequality_mw Top Word Pairs in Tweet in G10:
[19] re,publica [16] tessa,ganserer [15] 13,45 [15] bnd,überwachung [13] #rp22,#anyway [12] überwachung,prüfstand [11] trans,deal [10] teure,zettelwirtschaft [10] zettelwirtschaft,gedruckte [10] gedruckte,gehaltsabrechnungen Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: