The graph represents a network of 8,083 Twitter users whose recent tweets contained "@CDU_CSU_EP", 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 Tuesday, 26 March 2019 at 14:02 UTC.
The tweets in the network were tweeted over the 2-hour, 19-minute period from Tuesday, 26 March 2019 at 11:39 UTC to Tuesday, 26 March 2019 at 13:58 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 : 7572
Unique Edges : 14812
Edges With Duplicates : 3135
Total Edges : 17947
Number of Edge Types : 3
Retweet : 6512
Replies to : 2444
Mentions : 8991
Self-Loops : 9
Reciprocated Vertex Pair Ratio : 0.00721772422017197
Reciprocated Edge Ratio : 0.0143320039880359
Connected Components : 83
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7378
Maximum Edges in a Connected Component : 17815
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.343696
Graph Density : 0.000279934911644322
Modularity : 0.545037
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3169] gemacht,cdu_csu_ep [3162] nie,cdu_csu_ep [3161] cdu_csu_ep,stimmen [3160] cdu_csu_ep,gestimmt [3160] gestimmt,nie [3160] internet,nie [3158] vergiss,nie [3158] nie,gemacht [3158] nie,internetfreiheit [3158] internetfreiheit,internet Top Word Pairs in Tweet in G1:
[2874] cdu_csu_ep,gestimmt [2874] gestimmt,nie [2874] nie,cdu_csu_ep [2873] vergiss,nie [2873] nie,gemacht [2873] gemacht,cdu_csu_ep [2873] nie,internetfreiheit [2873] internetfreiheit,internet [2873] internet,nie [2873] cdu_csu_ep,stimmen Top Word Pairs in Tweet in G2:
[711] rede,hält [708] kollegen,cdu_csu_ep [708] #artikel13,#copyrightdirective [707] kolleginnen,kollegen [706] während,senficon [706] senficon,engagierte [706] engagierte,rede [706] hält,pöbeln [706] pöbeln,kolleginnen [706] cdu_csu_ep,tour Top Word Pairs in Tweet in G3:
[222] cdu_csu_ep,cdu [109] cdu,cdu_csu_ep [90] gemacht,cdu_csu_ep [90] cdu_csu_ep,gestimmt [90] gestimmt,nie [90] nie,cdu_csu_ep [90] cdu_csu_ep,stimmen [89] vergiss,nie [89] nie,gemacht [89] nie,internetfreiheit Top Word Pairs in Tweet in G4:
[60] caspary,cdu_csu_ep [39] cdu_csu_ep,unwählbar [38] person,caspary [38] unwählbar,unglaublich [38] unglaublich,einfach [38] einfach,trotz [38] trotz,ermahnung [38] ermahnung,wegen [38] wegen,einhaltung [38] einhaltung,30 Top Word Pairs in Tweet in G5:
[36] cdu_csu_ep,euparlament [22] demokratie,laut [22] laut,#artikel13 [22] #artikel13,logik [22] logik,parteien [22] parteien,sagen [22] sagen,gesamte [22] gesamte,volk [22] volk,massenproteste [22] massenproteste,hingelegt Top Word Pairs in Tweet in G6:
[4] demotivierend,großer [4] großer,fehler [4] fehler,meinung [4] meinung,jungen [4] jungen,wählern [4] wählern,umzugehen [4] umzugehen,nachricht [4] nachricht,wirft [4] wirft,politik [4] politik,interessieren Top Word Pairs in Tweet in G7:
[2] hey,googlede [2] googlede,google Top Word Pairs in Tweet in G8:
[5] saki_statement,senficon [5] senficon,herrnewstime [4] herrnewstime,bravo [4] bravo,julia [4] julia,senficon [4] senficon,#article13 [4] #article13,#euparlament [4] #euparlament,herrlich [4] herrlich,'herren' [4] 'herren',cdu_csu_ep Top Word Pairs in Tweet in G9:
[4] europarl_en,adopted [4] adopted,#copyrightreform [4] #copyrightreform,very [4] very,good [4] good,day [4] day,press [4] press,freedom [4] freedom,innovation [4] innovation,independent [4] independent,journalism 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:
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Top Tweeters in G10: