The graph represents a network of 10,172 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 Wednesday, 31 March 2021 at 07:24 UTC.
The requested start date was Tuesday, 30 March 2021 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 3-day, 0-hour, 2-minute period from Friday, 26 March 2021 at 13:26 UTC to Monday, 29 March 2021 at 13:28 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 : 10172
Unique Edges : 5503
Edges With Duplicates : 13008
Total Edges : 18511
Number of Edge Types : 5
Retweet : 5853
MentionsInRetweet : 6835
Tweet : 3387
Mentions : 2120
Replies to : 316
Self-Loops : 3431
Reciprocated Vertex Pair Ratio : 0.00632547441058079
Reciprocated Edge Ratio : 0.0125714285714286
Connected Components : 2934
Single-Vertex Connected Components : 912
Maximum Vertices in a Connected Component : 2098
Maximum Edges in a Connected Component : 5974
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 10.124915
Graph Density : 8.45742289739671E-05
Modularity : 0.532379
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 10,172 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 Wednesday, 31 March 2021 at 07:24 UTC.
The requested start date was Tuesday, 30 March 2021 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 3-day, 0-hour, 2-minute period from Friday, 26 March 2021 at 13:26 UTC to Monday, 29 March 2021 at 13:28 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:
[7299] covid,19 [890] contra,covid [359] 19,vaccine [216] 100,brasileira [202] 19,produção [165] casos,covid [160] brasileira,contra [152] dave,capella [149] 19,vaccines [141] vacina,100 Top Word Pairs in Tweet in G1:
[826] covid,19 [48] contra,covid [39] 19,vaccine [22] 19,vaccination [21] casos,covid [18] 19,cases [17] 19,vaccines [14] #covid,19 [14] against,covid [14] individuals,aged Top Word Pairs in Tweet in G2:
[924] covid,19 [190] contra,covid [77] lucha,contra [71] coronavirus,covid [68] reduce,riesgo [68] riesgo,infección [68] infección,coronavirus [53] 19,toma [53] toma,nota [53] nota,recomendaciones Top Word Pairs in Tweet in G3:
[172] covid,19 [85] dave,capella [67] falleció,animador [64] animador,dave [52] encontraba,hospitalizado [52] hospitalizado,covid [47] capella,quien [45] quien,encontraba [44] 19,confirmó [42] confirmó,minutos Top Word Pairs in Tweet in G4:
[224] covid,19 [212] contra,covid [204] 100,brasileira [200] 19,produção [126] vacina,100 [126] brasileira,contra [124] butanvac,1ª [124] 1ª,vacina [122] butantan,anuncia [122] anuncia,criação Top Word Pairs in Tweet in G5:
[166] covid,19 [33] contra,covid [29] lópez,gatell [27] 19,méxico [25] méxico,supera [24] 321,mil [24] 200,mil [23] muertos,covid [21] cifra,muertos [17] supera,321 Top Word Pairs in Tweet in G6:
[92] covid,19 [22] tells,drsanjaygupta [20] dr,deborah [20] deborah,birx [19] president,trump [16] 19,dr [16] dr,birx [16] hundreds,thousands [16] yuge,former [16] former,cdc Top Word Pairs in Tweet in G7:
[55] covid,19 [19] #serviciopúblico,yakary [19] yakary,prado [19] prado,padres [19] padres,bernardino [19] bernardino,prado [19] prado,rosa [19] rosa,prado [19] prado,contagiaron [19] contagiaron,covid Top Word Pairs in Tweet in G8:
[71] abc,news [71] news,ipsos [71] ipsos,poll [64] pres,biden's [54] biden's,approval [54] approval,rating [54] rating,handling [54] handling,covid [54] covid,pandemic [54] pandemic,climbs Top Word Pairs in Tweet in G9:
[68] covid,19 [58] dying,covid [57] millions,poor [57] poor,people [57] people,around [57] around,world [57] world,risk [57] risk,dying [57] dying,hunger [57] hunger,greater Top Word Pairs in Tweet in G10:
[46] covid,19 [16] 19,vaccine [10] never,known [10] known,such [10] such,situation [10] situation,paris [10] paris,doctors [10] doctors,hospitals [10] hospitals,being [10] being,overwhelmed Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
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:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: