The graph represents a network of 9,770 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 07 July 2022 at 07:22 UTC.
The requested start date was Thursday, 07 July 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, 0-hour, 16-minute period from Monday, 04 July 2022 at 12:01 UTC to Wednesday, 06 July 2022 at 12:17 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 : 9770
Unique Edges : 5067
Edges With Duplicates : 12011
Total Edges : 17078
Number of Edge Types : 5
Retweet : 5456
MentionsInRetweet : 6267
Tweet : 2985
Mentions : 1905
Replies to : 465
Self-Loops : 3059
Reciprocated Vertex Pair Ratio : 0.00704225352112676
Reciprocated Edge Ratio : 0.013986013986014
Connected Components : 2773
Single-Vertex Connected Components : 1087
Maximum Vertices in a Connected Component : 543
Maximum Edges in a Connected Component : 1225
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.358206
Graph Density : 8.54016417944382E-05
Modularity : 0.541816
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,770 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 07 July 2022 at 07:22 UTC.
The requested start date was Thursday, 07 July 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, 0-hour, 16-minute period from Monday, 04 July 2022 at 12:01 UTC to Wednesday, 06 July 2022 at 12:17 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 : COVID-19
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:
[5733] covid,19 [359] contra,covid [251] dosis,refuerzo [232] prices,food [232] food,fuel [232] fuel,soaring [232] soaring,people [232] people,hardly [232] hardly,getting [232] getting,without Top Word Pairs in Tweet in G1:
[976] covid,19 [41] contra,covid [34] 19,pandemic [34] 19,vaccine [20] casos,covid [19] during,covid [19] #covid,19 [19] 19,cases [18] rapid,test [17] 19,patients Top Word Pairs in Tweet in G2:
[105] covid,19 [72] #braun,nommé [72] nommé,santé [72] santé,chef [72] chef,pôle [72] pôle,service [72] service,urgences [72] urgences,chr [72] chr,mets [72] mets,thionville Top Word Pairs in Tweet in G3:
[201] dosis,refuerzo [184] mayor,cantidad [184] cantidad,dosis [170] #cuba,mayor [158] covid,19 [131] refuerzo,contra [112] aplicadas,población [109] contra,covid [104] contra,#covid19 [103] #covid19,aplicadas Top Word Pairs in Tweet in G4:
[232] prices,food [232] food,fuel [232] fuel,soaring [232] soaring,people [232] people,hardly [232] hardly,getting [232] getting,without [232] without,decent [232] decent,pay [232] pay,farmers Top Word Pairs in Tweet in G5:
[167] covid,19 [68] contra,covid [62] 19,venezuela [55] venezuela,registra [49] nuevos,contagios [46] lucha,contra [43] casos,covid [33] vtvcanal8,día [31] últimas,24 [31] 24,horas Top Word Pairs in Tweet in G6:
[108] covid,19 [79] 19,injections [65] former,pfizer [65] pfizer,employee [63] employee,turned [63] main,goal [63] goal,covid [63] injections,falsely [63] falsely,being [63] being,labeled Top Word Pairs in Tweet in G7:
[46] covid,19 [14] start,3rd [14] 3rd,covid [14] 19,omicron [14] omicron,wave [14] wave,expect [14] expect,see [14] see,significant [14] significant,rise [14] rise,cases Top Word Pairs in Tweet in G8:
[93] covid,19 [37] 19,hit [35] each,reinfection [33] hit,harder [33] harder,each [33] reinfection,comments [33] comments,thedailybeast [32] peterhotez,covid [28] another,gentle [28] gentle,reminder Top Word Pairs in Tweet in G9:
[117] covid,19 [60] 19,tests [58] results,covid [58] tests,done [58] 2022,confirm [58] cases,cumulative [56] june,2022 [56] cumulative,confirmed [56] confirmed,cases [39] uk,gov Top Word Pairs in Tweet in G10:
[76] covid,19 [47] trudeau,foundation [46] gentle,reminder [46] reminder,torontostar [46] torontostar,official [46] official,media [46] media,partner [46] partner,trudeau [46] foundation,covid [46] 19,impact Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: