The graph represents a network of 7,760 Twitter users whose recent tweets contained "#COVID2019de", 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 Wednesday, 18 March 2020 at 14:24 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 52-minute period from Tuesday, 10 March 2020 at 12:20 UTC to Wednesday, 18 March 2020 at 14:13 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 : 7760
Unique Edges : 10195
Edges With Duplicates : 1082
Total Edges : 11277
Number of Edge Types : 5
MentionsInRetweet : 3084
Retweet : 4680
Tweet : 2361
Mentions : 879
Replies to : 273
Self-Loops : 2379
Reciprocated Vertex Pair Ratio : 0.00312717164697707
Reciprocated Edge Ratio : 0.00623484586075511
Connected Components : 1741
Single-Vertex Connected Components : 1323
Maximum Vertices in a Connected Component : 5168
Maximum Edges in a Connected Component : 8542
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.880803
Graph Density : 0.000143846919373976
Modularity : 0.763786
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 7,760 Twitter users whose recent tweets contained "#COVID2019de", 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 Wednesday, 18 March 2020 at 14:24 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 52-minute period from Tuesday, 10 March 2020 at 12:20 UTC to Wednesday, 18 March 2020 at 14:13 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 : #COVID2019de
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:
[635] #coronavirusdeutschland,#covid2019de [507] #covid2019de,#coronavirusdeutschland [457] #stayathome,#covid2019de [346] #covid2019de,#coronavirus [238] zeiten,#covid2019de [229] hno,anästhesie [229] anästhesie,team [229] team,#uksh [229] #uksh,dringende [229] dringende,botschaft Top Word Pairs in Tweet in G1:
[115] #covid2019de,#coronavirusdeutschland [66] #coronavirusdeutschland,#covid2019de [64] #covid2019de,#coronavirus [53] #covid2019,#covid2019de [50] #covid2019de,#stayathome [47] #coronavirus,#covid2019de [42] #covid2019de,#covid2019 [39] #covid2019de,#ausgangssperren [29] #ausgangssperren,#covid2019de [28] #covid2019de,#corona Top Word Pairs in Tweet in G2:
[63] schnell,ändert [63] ändert,veröffentlichte [63] veröffentlichte,meinung [63] meinung,#covid2019de [52] zeiten,#covid2019de [45] weiß,glaube [45] glaube,mittlerweile [45] mittlerweile,weder [45] weder,regierung [45] regierung,msm Top Word Pairs in Tweet in G3:
[115] langweilig,zuhause [115] zuhause,weiß [115] weiß,beschäftigen [115] beschäftigen,hören [115] hören,arbeiten [115] arbeiten,arsch [115] arsch,froh [115] froh,gefahr [115] gefahr,minimieren [115] minimieren,hört Top Word Pairs in Tweet in G4:
[51] #covid2019de,#coronavirus [50] zeiten,#covid2019de [47] twitter,quarantäne [42] sodele,twitter [42] quarantäne,vermisst [42] vermisst,bleibt [42] bleibt,gesund [42] gesund,merkwürdigen [42] merkwürdigen,zeiten [31] #corona,#covid2019de Top Word Pairs in Tweet in G5:
[229] #stayathome,#covid2019de [220] hno,anästhesie [220] anästhesie,team [220] team,#uksh [220] #uksh,dringende [220] dringende,botschaft [220] botschaft,#stayathome [220] #covid2019de,stadt_kiel [220] stadt_kiel,verdi_nord [220] verdi_nord,_verdi Top Word Pairs in Tweet in G6:
[81] #coronavirusdeutschland,#covid2019de [59] frauen,krise [59] krise,arbeiten [59] arbeiten,laden [59] laden,laufen [59] laufen,halten [59] halten,verdienen [59] verdienen,durchschnitt [59] durchschnitt,ca [59] ca,20 Top Word Pairs in Tweet in G7:
[144] robert,koch [143] koch,institut [143] institut,warnt [143] warnt,millionen [143] millionen,infizierten [143] infizierten,deutschland [143] deutschland,#covid2019de [51] nutzt,bergamo [51] bergamo,epizentrum [51] epizentrum,coronakrise Top Word Pairs in Tweet in G8:
[48] stv,ministerpräsident [28] corona,virus [28] #coronavirusdeutschland,#covid2019de [26] bankenverband,bvrpresse [26] bvrpresse,dsgv [26] dsgv,pfandbriefbanks [26] pfandbriefbanks,voeb_banken [26] voeb_banken,#covid2019de [25] joachimstamp,chancennrw [24] menschengruppen,jeglicher Top Word Pairs in Tweet in G9:
[102] #ausgangssperren,#covid2019de [94] #covid2019de,#coronavirusdeutschland [92] uneinsichtigen,#bleibtzuhause [92] #bleibtzuhause,#stayathome [92] #stayathome,#stayhomesavelives [92] #stayhomesavelives,#flattenthecurve [92] #flattenthecurve,#ausgangssperren [92] #coronavirusdeutschland,#coronadeutschland [92] #coronadeutschland,#coronavirus [82] ok,sofort Top Word Pairs in Tweet in G10:
[202] idee,walking [202] walking,dead [202] dead,sound [202] sound,legen [202] legen,chapeau [201] chapeau,würd [201] würd,gerne [201] gerne,credit [201] credit,geben [201] geben,wurd Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 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: