The graph represents a network of 15,056 Twitter users whose recent tweets contained "corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2 OR sars-cov lang:de", 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 Saturday, 21 March 2020 at 18:31 UTC.
The tweets in the network were tweeted over the 1-hour, 27-minute period from Saturday, 21 March 2020 at 16:10 UTC to Saturday, 21 March 2020 at 17:38 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 : 15056
Unique Edges : 21075
Edges With Duplicates : 3833
Total Edges : 24908
Number of Edge Types : 5
Replies to : 1541
Retweet : 10550
Tweet : 5161
Mentions : 3385
MentionsInRetweet : 4271
Self-Loops : 5229
Reciprocated Vertex Pair Ratio : 0.00546803096746251
Reciprocated Edge Ratio : 0.0108765884126642
Connected Components : 2663
Single-Vertex Connected Components : 1610
Maximum Vertices in a Connected Component : 10624
Maximum Edges in a Connected Component : 20316
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.594693
Graph Density : 8.19347832301752E-05
Modularity : 0.678526
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 15,056 Twitter users whose recent tweets contained "corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2 OR sars-cov lang:de", 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 Saturday, 21 March 2020 at 18:31 UTC.
The tweets in the network were tweeted over the 1-hour, 27-minute period from Saturday, 21 March 2020 at 16:10 UTC to Saturday, 21 March 2020 at 17:38 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 : corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2 OR sars-cov lang: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:
[864] corona,krise [522] #corona,krise [439] covid,19 [340] herzlichen,glückwunsch [338] 95,jährige [337] schöne,nachricht [337] nachricht,#italien [337] #italien,allererste [337] allererste,patientin [337] patientin,provinz Top Word Pairs in Tweet in G1:
[85] corona,krise [56] covid,19 [45] #covid_19,#coronavirus [29] corona,virus [26] zeiten,corona [20] trotz,corona [18] #corona,#coronavirus [17] 03,2020 [16] #covid_19,#wirbleibenzuhause [16] #corona,krise Top Word Pairs in Tweet in G2:
[135] corona,krise [113] viren,kennen [108] kennen,grenzen [82] hass,hetze [81] #covid_19,weder [81] schuld,heutigen [76] grenzen,nationalitäten [76] nationalitäten,#covid_19 [76] weder,chinesinnen [76] chinesinnen,italienerinnen Top Word Pairs in Tweet in G3:
[198] soziale,dienste [109] wider,erwarten [104] #corona,schutzschirm [83] #corona,#schutzschirm [77] deutlicher,jüngere [77] jüngere,schwer [77] schwer,corona [77] corona,erkranken [77] erkranken,warnt [77] warnt,eindringlich Top Word Pairs in Tweet in G4:
[181] #corona,krise [169] 2020,18 [165] sonntag,22 [165] 22,2020 [165] 18,musiker [165] musiker,deutschland [165] deutschland,#corona [165] krise,gemeinsames [165] gemeinsames,zeichen [165] zeichen,setzen Top Word Pairs in Tweet in G5:
[96] ansammlungen,10 [94] senat,berlin [93] berlin,maßnahmen [93] maßnahmen,ausgangsbeschränkungen [93] ausgangsbeschränkungen,eindämmung [93] eindämmung,#coronavirus [93] #coronavirus,beschlossen [93] beschlossen,erlaubt [93] erlaubt,ansammlungen [93] 10,restaurants Top Word Pairs in Tweet in G6:
[265] faschisten,rassisten [265] rassisten,rechtskonservative [265] rechtskonservative,momentan [265] momentan,abgemeldet [265] abgemeldet,liegt [265] liegt,senden [265] senden,liegt [265] liegt,rest [265] rest,beschäftigt [265] beschäftigt,teilt Top Word Pairs in Tweet in G7:
[208] #stayhome,#covid19 [195] 100,erwachsene [195] erwachsene,kinder [195] kinder,trafen [195] trafen,nachmittag [195] nachmittag,strandbad [195] strandbad,#müggelsee [195] #müggelsee,schnapsidee [195] schnapsidee,verantwortlichen [195] verantwortlichen,baden Top Word Pairs in Tweet in G8:
[39] typ,sitzt [39] sitzt,ffp [39] ffp,maske [39] maske,bus [39] bus,juckt [39] juckt,maske [39] maske,nimmt [39] nimmt,kratzt [39] kratzt,fingern [39] fingern,mund Top Word Pairs in Tweet in G9:
[305] herzlichen,glückwunsch [304] schöne,nachricht [304] nachricht,#italien [304] #italien,allererste [304] allererste,patientin [304] patientin,provinz [304] provinz,modena [304] modena,#coronavirus [304] #coronavirus,geheilt [304] geheilt,95 Top Word Pairs in Tweet in G10:
[67] bundesländer,könnten [67] könnten,tausende [67] tausende,aufnehmen [67] aufnehmen,krise [67] krise,griechischen [67] griechischen,flüchtlingslagern [67] flüchtlingslagern,auffangen [67] auffangen,bevor [67] bevor,corona [67] corona,ausbricht Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: