The graph represents a network of 4,058 Twitter users whose recent tweets contained "#NoCovid", 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, 13 May 2021 at 16:48 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 30-minute period from Wednesday, 05 May 2021 at 19:54 UTC to Thursday, 13 May 2021 at 16:25 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 : 4058
Unique Edges : 8914
Edges With Duplicates : 3254
Total Edges : 12168
Number of Edge Types : 5
Retweet : 4333
Tweet : 1049
Mentions : 2045
Replies to : 1878
MentionsInRetweet : 2863
Self-Loops : 1099
Reciprocated Vertex Pair Ratio : 0.0135644310474755
Reciprocated Edge Ratio : 0.0267657992565056
Connected Components : 416
Single-Vertex Connected Components : 272
Maximum Vertices in a Connected Component : 3374
Maximum Edges in a Connected Component : 11405
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.221421
Graph Density : 0.000571877847620642
Modularity : 0.531079
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,058 Twitter users whose recent tweets contained "#NoCovid", 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, 13 May 2021 at 16:48 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 30-minute period from Wednesday, 05 May 2021 at 19:54 UTC to Thursday, 13 May 2021 at 16:25 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 : #NoCovid
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[475] #nocovid,#nocovid [324] die,inzidenz [285] #nocovid,alle [274] kindern,jugendlichen [271] jahr,die [271] alle,leicht [271] leicht,erreichbar [271] erreichbar,gewesen [271] gewesen,heute [270] heute,jahr Top Word Pairs in Tweet in G1:
[457] #nocovid,#nocovid [152] #lebenretten,#nocovid [115] #nocovid,#sicherebildung [110] #sicherebildung,#twlz [93] kinder,eltern [82] #nocovid,die [82] #niedriginzidenzstrategie,#nocovid [81] #nocovid,strategie [74] alle,die [67] runter,kommen Top Word Pairs in Tweet in G2:
[74] urs,karrer [74] #klartext,widerspricht [74] widerspricht,phasenplan [74] phasenplan,br [62] kids,pims [62] pims,ips [57] br,plant [51] #protectthekids,#nocovid [43] br,klar [43] alain_berset,#nocovid Top Word Pairs in Tweet in G3:
[95] roten,punkten [84] corneliusroemer,karl_lauterbach [84] karl_lauterbach,brinkmannlab [83] huhu,corneliusroemer [83] brinkmannlab,trotteln [83] trotteln,roten [83] punkten,gilt [83] gilt,#nuhr [83] #nuhr,#nocovid [83] #nocovid,#lockdown Top Word Pairs in Tweet in G4:
[50] #nocovid,#zerocovid [35] #nocovid,strategie [34] impfen,lassen [34] die,#piraten [33] die,die [29] viele,meinen [29] meinen,offenbar [29] offenbar,reiche [29] reiche,allen [29] allen,impfwilligen Top Word Pairs in Tweet in G5:
[192] die,inzidenz [190] gewesen,heute [189] heute,jahr [189] jahr,die [189] die,gesamtinzidenz [189] gesamtinzidenz,#nocovid [189] #nocovid,alle [189] alle,leicht [189] leicht,erreichbar [189] erreichbar,gewesen Top Word Pairs in Tweet in G6:
[16] #zerocovid,#nocovid [11] die,#nocovid [11] #nocovid,#zerocovid [8] covid,19 [6] #nocovid,strategie [5] #lebenretten,#nocovid [5] #impfenrettetleben,#nocovid [4] #astrazeneca,#nocovid [4] erste,impfung [4] die,pandemie Top Word Pairs in Tweet in G7:
[23] #nocovid,bitte [22] brauch,keine [20] #muttertagswunsch,#muttertagswut [20] #muttertagswut,#nocovid [12] #nocovid,strategie [11] #nocovid,#yestonocovid [10] die,#nocovid [9] die,die [8] #nocovid,alle [8] keine,schokolade Top Word Pairs in Tweet in G8:
[146] 16,reasons [74] #nocovid,countries [73] reasons,#nocovid [73] countries,pursue [73] pursue,covid [73] covid,19 [73] 19,elimination [73] elimination,strategy [73] strategy,16 [73] reasons,michael Top Word Pairs in Tweet in G9:
[75] #nocovid,#protectthekids [74] kinder,eltern [72] spdbt,cducsubt [71] spdhh,gruene_hamburg [70] schönsten,worten [70] worten,fasst [70] fasst,saschalobo [70] saschalobo,zusammen [70] zusammen,unglaublich [70] unglaublich,egal Top Word Pairs in Tweet in G10:
[16] #nocovid,fans [15] war,#australien [15] #australien,beispiel [15] beispiel,#nocovid [15] fans,intelligenten [15] intelligenten,umgang [15] umgang,corona [15] corona,pandemie [15] pandemie,problemlos [15] problemlos,anwendbar Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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:
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Top Tweeters in G9:
Top Tweeters in G10: