The graph represents a network of 10,466 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 Tuesday, 23 February 2021 at 08:22 UTC.
The requested start date was Tuesday, 23 February 2021 at 01:01 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 3-day, 0-hour, 2-minute period from Friday, 19 February 2021 at 13:42 UTC to Monday, 22 February 2021 at 13:45 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 : 10466
Unique Edges : 5840
Edges With Duplicates : 12571
Total Edges : 18411
Number of Edge Types : 5
Retweet : 5609
MentionsInRetweet : 6692
Tweet : 3331
Replies to : 396
Mentions : 2383
Self-Loops : 3368
Reciprocated Vertex Pair Ratio : 0.00757046354530631
Reciprocated Edge Ratio : 0.0150271644896544
Connected Components : 3204
Single-Vertex Connected Components : 1075
Maximum Vertices in a Connected Component : 759
Maximum Edges in a Connected Component : 3126
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 7.330316
Graph Density : 7.89853139905899E-05
Modularity : 0.537468
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 10,466 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 Tuesday, 23 February 2021 at 08:22 UTC.
The requested start date was Tuesday, 23 February 2021 at 01:01 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 3-day, 0-hour, 2-minute period from Friday, 19 February 2021 at 13:42 UTC to Monday, 22 February 2021 at 13:45 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:
[7126] covid,19 [1264] contra,covid [582] batalla,contra [566] avanza,batalla [564] venezuela,avanza [513] #bienestarparaelpueblo,venezuela [480] 19,través [433] día,#bienestarparaelpueblo [421] etiqueta,día [415] través,plan Top Word Pairs in Tweet in G1:
[922] covid,19 [71] contra,covid [61] 19,vaccine [32] 19,pandemic [24] 19,cases [17] 19,vaccination [14] during,covid [14] #covid,19 [14] 19,vaccines [13] against,covid Top Word Pairs in Tweet in G2:
[1100] covid,19 [759] contra,covid [562] batalla,contra [554] avanza,batalla [552] venezuela,avanza [503] #bienestarparaelpueblo,venezuela [464] 19,través [423] día,#bienestarparaelpueblo [411] etiqueta,día [404] través,plan Top Word Pairs in Tweet in G3:
[100] covid,19 [19] #ياريس_ارجوك_الطلاب_هتموت,egyptian [19] egyptian,government [19] government,forcing [19] forcing,take [19] take,exams [19] exams,college [19] college,third [19] third,wave [14] 19,pandemic Top Word Pairs in Tweet in G4:
[75] covid,19 [64] ima,indian [64] indian,medical [64] medical,association [64] association,asks [64] asks,ramdev [64] ramdev,coronil [64] coronil,prevent [64] prevent,covid [64] 19,spending Top Word Pairs in Tweet in G5:
[108] covid,19 [84] biden,allegedly [84] allegedly,already [84] already,planning [84] planning,another [84] another,trillion [84] trillion,covid [84] 19,stimulus [84] stimulus,package [84] package,includes Top Word Pairs in Tweet in G6:
[91] covid,19 [32] great,tool [32] tool,npr [32] npr,easy [32] easy,access [32] access,info [32] info,sign [32] sign,vaccine [32] vaccine,state [31] jenniferdoleac,great Top Word Pairs in Tweet in G7:
[123] outbreak,covid [123] covid,19 [123] 19,pandemic [123] pandemic,subsequent [123] subsequent,lockdown [123] lockdown,destablilised [108] destablilised,lives [91] lives,economically [91] economically,weaker [51] kunalguru11,outbreak Top Word Pairs in Tweet in G8:
[35] covid,19 [10] contra,covid [5] #soberana02,horizonte [5] horizonte,cercano [5] cercano,vacuna [5] vacuna,nuestras [5] nuestras,manos [5] manos,prevención [5] prevención,disciplina [5] disciplina,cumplimiento Top Word Pairs in Tweet in G9:
[22] covid,19 [13] skynews,covid [12] 85,94 [11] linked,85 [11] 94,drop [11] coronavirus,hospital [11] hospital,admissions [11] admissions,scotland [11] scotland,study [11] study,shows Top Word Pairs in Tweet in G10:
[70] curioso,caso [70] caso,gasolina [70] gasolina,custava [70] custava,90 [70] 90,culpa [70] culpa,presidenta [70] presidenta,agora [70] agora,incríveis [70] incríveis,60 [70] 60,culpa 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 G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: