The graph represents a network of 8,224 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 Wednesday, 18 May 2022 at 08:49 UTC.
The requested start date was Wednesday, 18 May 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, 56-minute period from Sunday, 15 May 2022 at 11:29 UTC to Tuesday, 17 May 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 : 8224
Unique Edges : 4096
Edges With Duplicates : 11279
Total Edges : 15375
Number of Edge Types : 5
Tweet : 2824
Retweet : 4884
MentionsInRetweet : 5517
Replies to : 466
Mentions : 1684
Self-Loops : 2990
Reciprocated Vertex Pair Ratio : 0.00632259961770328
Reciprocated Edge Ratio : 0.0125657510227937
Connected Components : 2275
Single-Vertex Connected Components : 1196
Maximum Vertices in a Connected Component : 1919
Maximum Edges in a Connected Component : 3956
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.030997
Graph Density : 0.000101203750891374
Modularity : 0.502947
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,224 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 Wednesday, 18 May 2022 at 08:49 UTC.
The requested start date was Wednesday, 18 May 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, 56-minute period from Sunday, 15 May 2022 at 11:29 UTC to Tuesday, 17 May 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:
[716] covid,19 [506] news,media [505] rarely,mentioned [505] mentioned,news [505] government,quietly [505] special,coronavirus [500] media,began [500] began,borisjohnson [500] borisjohnson,government [500] quietly,paying Top Word Pairs in Tweet in G1:
[168] covid,19 [67] casos,coronavirus [48] aumentaron,92 [43] #coronavirus,#covid19 [43] 92,semana [38] #news,#coronavirus [37] coronavirus,aumentaron [32] #covid19,#coronavirus [31] #health,#coronavirus [30] #news,#health Top Word Pairs in Tweet in G2:
[502] rarely,mentioned [502] mentioned,news [502] news,media [502] government,quietly [502] special,coronavirus [497] media,began [497] began,borisjohnson [497] borisjohnson,government [497] quietly,paying [497] paying,special Top Word Pairs in Tweet in G3:
[154] nytimes,coronavirus [97] coronavirus,cases [97] cases,spreading [97] spreading,alarming [97] alarming,rate [97] rate,particularly [97] particularly,northeast [97] northeast,midwest [97] midwest,average [58] coronavirus,become Top Word Pairs in Tweet in G4:
[38] précise,ai [38] ai,jamais [38] jamais,été [38] été,convaincue [38] convaincue,par [38] par,nécessité [38] nécessité,ces [38] ces,avons [38] avons,tap [38] tap,aucun Top Word Pairs in Tweet in G5:
[42] pandemic,response [41] north,korean [41] korean,leader [41] leader,kim [41] kim,jong [41] jong,berated [41] berated,officials [41] officials,delays [41] delays,pandemic [41] response,mobilized Top Word Pairs in Tweet in G6:
[36] don,thought [36] thought,novel [36] novel,hepatitis [36] hepatitis,outbreak [36] outbreak,kids [36] kids,caused [36] caused,novel [35] lisa_iannattone,don [35] novel,pedi [22] #pathogens,perspective Top Word Pairs in Tweet in G7:
[74] corea,norte [48] coronavirus,corea [37] urgente,coronavirus [32] alertanews24,urgente [28] alerta_news_,coronavirus [27] corea,ofrece [27] ofrece,corea [27] norte,vacunas [27] vacunas,medicamentos [27] medicamentos,equipos Top Word Pairs in Tweet in G8:
[21] prolonged,#nyc [21] #nyc,#covid [21] #covid,surge [21] surge,steadily [21] steadily,increasing [21] increasing,pressure [21] pressure,emergency [21] emergency,departments [21] departments,particularly [21] particularly,striking Top Word Pairs in Tweet in G9:
[22] covid,19 [15] #coronavirus,#covid19 [14] aumentaron,92 [14] 92,semana [12] #covid19,#coronavirus [12] casos,#coronavirus [12] #coronavirus,aumentaron [10] saludnewsonline,casos [8] #larepúblicald,poquito [8] poquito,poco Top Word Pairs in Tweet in G10:
[43] linked,cases [43] cases,severe [41] coronavirus,linked [41] severe,hepatitis [41] hepatitis,children [25] drgregkelly,coronavirus [17] covid,19 [15] coronavirus,covid [14] farid__jalali,somehow [14] somehow,familiar 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 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: