The graph represents a network of 8,123 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 October 2022 at 10:30 UTC.
The requested start date was Thursday, 13 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 54-minute period from Monday, 10 October 2022 at 10:31 UTC to Wednesday, 12 October 2022 at 12:25 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 : 8123
Unique Edges : 4034
Edges With Duplicates : 11320
Total Edges : 15354
Number of Edge Types : 5
Retweet : 5131
MentionsInRetweet : 5936
Tweet : 2046
Mentions : 1454
Replies to : 787
Self-Loops : 2186
Reciprocated Vertex Pair Ratio : 0.00444983818770227
Reciprocated Edge Ratio : 0.00886024969794603
Connected Components : 1809
Single-Vertex Connected Components : 878
Maximum Vertices in a Connected Component : 1126
Maximum Edges in a Connected Component : 2350
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.776104
Graph Density : 0.00011290639367278
Modularity : 0.5252
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 8,123 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 October 2022 at 10:30 UTC.
The requested start date was Thursday, 13 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 54-minute period from Monday, 10 October 2022 at 10:31 UTC to Wednesday, 12 October 2022 at 12:25 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 : GraphServerTwitterSearch
Graph Term : Coronavirus
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:
[647] covid,19 [343] #covid19,#covid_19 [341] parlament,stoff [341] pfizer,eu [341] war,aufgrund [341] ausbreitung,coronavirus [341] coronavirus,schütze [341] gestern,gab [341] stoff,ausbreitung [341] gab,pfizer Top Word Pairs in Tweet in G1:
[163] covid,19 [45] 957,coronavirus [40] coronavirus,cases [40] 24,hours [39] last,24 [36] coronavirus,live [35] cases,deaths [35] reports,957 [35] live,updates [35] deaths,last Top Word Pairs in Tweet in G2:
[338] gestern,gab [338] gab,pfizer [338] parlament,stoff [338] eu,parlament [338] war,aufgrund [338] coronavirus,schütze [338] pfizer,eu [338] schütze,war [338] stoff,ausbreitung [338] ausbreitung,coronavirus Top Word Pairs in Tweet in G3:
[239] mise,marché [230] conversion,l'autorisation [227] l'autorisation,mise [218] commission,européenne [173] marché,conditionnelle [123] vient,autoriser [123] autoriser,conversion [123] européenne,vient [122] corinnereverbel,commission [107] autorisé,conversion Top Word Pairs in Tweet in G4:
[297] medidas,bioseguridad [175] acude,centro [175] #prevención,acude [175] centro,inmunización [175] lugar,trabajo [175] inmunización,cercano [172] evitar,contagios [170] delcyrodriguezv,coronavirus [170] reforzar,protección [170] cercano,domicilio Top Word Pairs in Tweet in G5:
[121] enig,effect [121] bizar,volstrekt [121] onduidelijk,#vaccinatie [121] wel,enig [121] #vaccinatie,wel [121] volstrekt,onduidelijk [107] verspreiding,coronavirus [107] effect,verspreiding [105] coronavirus,inmiddel [105] wybrenvanhaga,bizar Top Word Pairs in Tweet in G6:
[179] julio_ariza_tv,florida [179] corazón,vacunación [179] vacunación,coronavirus [179] florida,reconozca [179] reconozca,relación [179] muertes,corazón [179] relación,muertes [178] eltorotv,julio_ariza_tv [9] todavía,hoy [9] universidad,nada Top Word Pairs in Tweet in G7:
[117] alberto,reyero [88] tragedia,residencias [88] pablo,iglesias [86] iglesias,tragedia [86] culpar,pablo [86] gran,mentira [86] residencias,gran [84] reyero,culpar [71] elsaltodiario,alberto [54] splazaque,vídeo Top Word Pairs in Tweet in G8:
[148] julian,assange [144] condition,found [144] covid,chronic [144] chronic,lung [144] positive,covid [144] tested,positive [144] assange,tested [144] found,inmates [144] lung,condition [143] declassifieduk,julian Top Word Pairs in Tweet in G9:
[48] leggi,più [44] più,#casaitaliaradio [42] #casaitaliaradio,#webradio [40] #webradio,#radio [39] #home,#design [39] #governo,#politicaitaliana [39] #covid,#news [39] #interiordesign,#covid [39] #arredamento,#governo [39] #radio,#casa Top Word Pairs in Tweet in G10:
[133] two,thirds [100] jim,chalmers [99] chalmers,two [99] borrowed,before [99] thirds,debt [99] before,start [99] debt,budget [99] budget,borrowed [98] pandemic,correct [98] start,pandemic 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 G7:
Top Replied-To in G9:
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: