The graph represents a network of 11,004 Twitter users whose recent tweets contained "@_friedrichmerz OR @arminlaschet OR @n_roettgen", 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, 02 April 2020 at 12:45 UTC.
The tweets in the network were tweeted over the 6-day, 3-hour, 8-minute period from Friday, 27 March 2020 at 09:19 UTC to Thursday, 02 April 2020 at 12:27 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 : 11004
Unique Edges : 29833
Edges With Duplicates : 27968
Total Edges : 57801
Number of Edge Types : 5
Replies to : 11463
MentionsInRetweet : 12736
Mentions : 31606
Retweet : 1966
Tweet : 30
Self-Loops : 50
Reciprocated Vertex Pair Ratio : 0.021570528356762
Reciprocated Edge Ratio : 0.0422301304863582
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 11004
Maximum Edges in a Connected Component : 57801
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.796461
Graph Density : 0.000313312984631633
Modularity : 0.399843
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 11,004 Twitter users whose recent tweets contained "@_friedrichmerz OR @arminlaschet OR @n_roettgen", 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, 02 April 2020 at 12:45 UTC.
The tweets in the network were tweeted over the 6-day, 3-hour, 8-minute period from Friday, 27 March 2020 at 09:19 UTC to Thursday, 02 April 2020 at 12:27 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 : @_friedrichmerz OR @arminlaschet OR @n_roettgen
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:
[981] jensspahn,arminlaschet [624] koeln_de,ukkoeln [624] ukkoeln,uniklinikbonn [624] uniklinikbonn,bochum_de [624] bochum_de,ruhrunibochum [624] ruhrunibochum,bundesstadtbonn [623] team_luftwaffe,koeln_de [623] sandstbw,uniklinikessen [615] bundesstadtbonn,arminlaschet [615] arminlaschet,sandstbw Top Word Pairs in Tweet in G1:
[350] #nrwkanndas,#ichkanndasauch [349] #sogehtsrichtig,#nrwkanndas [348] #ausgruenden,#sogehtsrichtig [346] schützen,#ausgruenden [291] nordrhein,westfalen [220] westfalen,hilft [216] ärzte,pfleger [216] europäische,solidarität [215] corona,patienten [215] italien,frankreich Top Word Pairs in Tweet in G2:
[585] _friedrichmerz,arminlaschet [578] arminlaschet,jensspahncdu [438] interessiert,afd [438] afd,migrant [438] migrant,tötung [438] tötung,jungen [438] jungen,deutschen [438] deutschen,lächerlichen [438] lächerlichen,bewährungsstrafe [438] bewährungsstrafe,skandalurteil Top Word Pairs in Tweet in G3:
[836] jensspahn,arminlaschet [413] arminlaschet,uniklinikdus [217] landnrw,arminlaschet [204] ministerpräsident,arminlaschet [176] _friedrichmerz,uk_muenster [174] srunbequem,jensspahn [150] arminlaschet,jensspahn [149] mp,arminlaschet [133] alexander_jorde,arminlaschet [121] wdraktuell,arminlaschet Top Word Pairs in Tweet in G4:
[590] koeln_de,ukkoeln [590] ukkoeln,uniklinikbonn [590] uniklinikbonn,bochum_de [590] bochum_de,ruhrunibochum [590] ruhrunibochum,bundesstadtbonn [589] team_luftwaffe,koeln_de [589] sandstbw,uniklinikessen [586] bundesstadtbonn,arminlaschet [586] arminlaschet,sandstbw [396] landnrw,team_luftwaffe Top Word Pairs in Tweet in G5:
[393] kfw,nrwbank [273] nrwbank,ihkzudortmund [273] ihkzudortmund,ihkdus [273] ihkdus,ihk_niederrhein [273] ihk_niederrhein,arminlaschet [258] mags_nrw,kfw [211] wirtschaftnrw,mags_nrw [133] mags_nrw,arminlaschet [130] wirtschaftnrw,landnrw [130] landnrw,mags_nrw Top Word Pairs in Tweet in G6:
[266] state,of [261] breach,of [261] of,basic [261] basic,principles [260] #orban,state [260] of,emergency [260] emergency,law [260] law,effectively [260] effectively,eliminates [260] eliminates,opposition Top Word Pairs in Tweet in G7:
[286] _friedrichmerz,zeitonline [147] soziale,marktwirtschaft [95] leistungsfähigkeit,unseres [95] stärken,schwächen [94] unseres,landes [94] landes,stärken [93] schwächen,nötigen [93] nötigen,eingriffe [92] marktwirtschaft,erhalten [91] zeitlich,eng Top Word Pairs in Tweet in G8:
[13] n_roettgen,arminlaschet [8] charlestannock,arminlaschet [7] charlestannock,n_roettgen [4] vinaigrettegirl,stilldelvingh [4] stilldelvingh,peterjukes [4] peterjukes,ulrikeguerot [4] ulrikeguerot,ep_president [4] ep_president,vonderleyen [4] vonderleyen,washingtonpost [4] washingtonpost,brexit_sham Top Word Pairs in Tweet in G9:
[17] arminlaschet,markus_soeder [15] arminlaschet,regberlin [15] regberlin,chariteberlin [13] danke,arminlaschet [13] chariteberlin,solidarität [13] solidarität,kampf [13] kampf,#covid19 [13] #covid19,nrw [13] nrw,berlin [13] berlin,patienten Top Word Pairs in Tweet in G10:
[44] markus_soeder,arminlaschet [25] regsprecher,arminlaschet [22] tagesschau_eil,markus_soeder [18] tagesschau,arminlaschet [16] tagesthemen,heutejournal [15] tagesschau,tagesthemen [15] heutejournal,markus_soeder [12] simonszu,tagesschau_eil [10] andreas_daum71,tagesschau_eil [8] bratarrat,tagesschau Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: