The graph represents a network of 6,619 Twitter users whose recent tweets contained "url:bild.de OR url:zeit.de", 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 Friday, 20 March 2020 at 18:07 UTC.
The tweets in the network were tweeted over the 23-hour, 55-minute period from Thursday, 19 March 2020 at 17:43 UTC to Friday, 20 March 2020 at 17:39 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 : 6619
Unique Edges : 8608
Edges With Duplicates : 3002
Total Edges : 11610
Number of Edge Types : 5
Retweet : 5510
MentionsInRetweet : 2444
Mentions : 1106
Tweet : 2242
Replies to : 308
Self-Loops : 2288
Reciprocated Vertex Pair Ratio : 0.00192678227360308
Reciprocated Edge Ratio : 0.00384615384615385
Connected Components : 852
Single-Vertex Connected Components : 599
Maximum Vertices in a Connected Component : 5204
Maximum Edges in a Connected Component : 9903
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.049547
Graph Density : 0.000189934641937359
Modularity : 0.583481
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 6,619 Twitter users whose recent tweets contained "url:bild.de OR url:zeit.de", 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 Friday, 20 March 2020 at 18:07 UTC.
The tweets in the network were tweeted over the 23-hour, 55-minute period from Thursday, 19 March 2020 at 17:43 UTC to Friday, 20 March 2020 at 17:39 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 : url:bild.de OR url:zeit.de
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:
[543] #usa,#china [542] #china,konflikte [542] konflikte,#coronavirus [542] #coronavirus,dazugekommen [507] fälle,senken [507] senken,schaffen [404] krise,ausnutzen [402] kommentar,rolle [402] rolle,chinesischen [402] chinesischen,regierung Top Word Pairs in Tweet in G1:
[369] fälle,senken [369] senken,schaffen [212] schaffen,zeitonline [138] #coronavirus,#pandemie [111] zeitonline,interview [98] schaffen,c_drosten [93] bester,artikel [93] artikel,langem [93] langem,gelesen [93] gelesen,#sarscov2 Top Word Pairs in Tweet in G2:
[470] #usa,#china [470] #china,konflikte [470] konflikte,#coronavirus [470] #coronavirus,dazugekommen [388] krise,ausnutzen [386] kommentar,rolle [386] rolle,chinesischen [386] chinesischen,regierung [386] regierung,china [386] china,krise Top Word Pairs in Tweet in G3:
[239] 100,liter [183] dieb,festgenommen [177] desinfektionsmittel,dieb [176] aserbaidschaner,28 [176] internet,verkauf [176] verkauf,angeboten [160] münster,gestohlen [159] liter,uniklinik [159] uniklinik,münster [159] gestohlen,desinfektionsmittel Top Word Pairs in Tweet in G4:
[36] corona,krise [19] fälle,senken [19] senken,schaffen [16] bildplus,inhalt [15] corona,zeiten [15] christian,drosten [14] ernte,retten [13] spargel,corona [13] schaffen,online [12] tatsächliche,lage Top Word Pairs in Tweet in G5:
[72] #abo,#red [46] land,dicht [46] dicht,verändert [46] verändert,gesellschaft [46] gesellschaft,langsamer [46] langsamer,einsamer [46] einsamer,essay [41] essay,bernd [41] bernd,ulrich [41] ulrich,#coronavirusde Top Word Pairs in Tweet in G6:
[57] jahrzehnten,professioneller [57] professioneller,politischer [57] politischer,arbeit [57] arbeit,karl_lauterbach [57] karl_lauterbach,direkte [57] direkte,lenkungswirkung [57] lenkungswirkung,wissenschaftlicher [57] wissenschaftlicher,expertise [57] expertise,politische [57] politische,entscheidungen Top Word Pairs in Tweet in G7:
[112] debatte,erlaubt [111] krise,debatte [108] derartigen,tempo [108] tempo,frei [108] frei,kritischer [108] kritischer,debatte [108] debatte,ausgesetzt [108] ausgesetzt,fragen [108] fragen,tragweite [108] tragweite,maßnahmen Top Word Pairs in Tweet in G8:
[74] fälle,senken [74] senken,schaffen [59] verhaltet,dringend [59] dringend,christian [59] christian,#drosten [59] #drosten,fälle [59] schaffen,rki_de [59] rki_de,klar [59] klar,betten [59] betten,#corona Top Word Pairs in Tweet in G9:
[91] kommentiert,davidgutensohn [56] #coronakrise,zeigt [56] zeigt,pflegekräfte [56] pflegekräfte,lieferanten [56] lieferanten,kassiererinnen [56] kassiererinnen,wertgeschätzt [56] wertgeschätzt,brauchen [56] brauchen,danke [56] danke,kommentiert [37] krise,vergessen Top Word Pairs in Tweet in G10:
[34] #prominews,#promis [34] #promis,#gossip [27] corona,krise [24] bildplus,inhalt [18] starkes,zeichen [18] zeichen,corona [18] krise,kimmich [18] kimmich,goretzka [18] goretzka,spenden [18] spenden,mio 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: