The graph represents a network of 7,861 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 June 2020 at 07:02 UTC.
The requested start date was Tuesday, 23 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 2-minute period from Sunday, 21 June 2020 at 12:14 UTC to Monday, 22 June 2020 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 : 7861
Unique Edges : 4541
Edges With Duplicates : 7854
Total Edges : 12395
Number of Edge Types : 5
Tweet : 2397
Retweet : 3640
MentionsInRetweet : 4301
Replies to : 357
Mentions : 1700
Self-Loops : 2444
Reciprocated Vertex Pair Ratio : 0.00439811044143997
Reciprocated Edge Ratio : 0.00875770353551735
Connected Components : 2546
Single-Vertex Connected Components : 768
Maximum Vertices in a Connected Component : 373
Maximum Edges in a Connected Component : 706
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.237728
Graph Density : 9.97937121869065E-05
Modularity : 0.577083
NodeXL Version : 1.0.1.434
Data Import : The graph represents a network of 7,861 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 June 2020 at 07:02 UTC.
The requested start date was Tuesday, 23 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 2-minute period from Sunday, 21 June 2020 at 12:14 UTC to Monday, 22 June 2020 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 G2:
[661] covid,19 [24] त,र [23] द,ल [20] ल,ल [14] र,क [13] 19,pandemic [13] छ,त [12] क,ह [12] neet,jee [12] र,न Top Word Pairs in Tweet in G3:
[84] covid,19 [25] realdonaldtrump,accusing [21] accusing,others [21] others,rigging [18] rigging,elections [17] 19,dangerous [13] dangerous,elders [12] elders,roger [11] roger,stone [11] stone,67 Top Word Pairs in Tweet in G4:
[86] covid,19 [8] propagación,covid [8] 19,ponemos [8] ponemos,barreras [8] ante,propagación [8] barreras,especiales [8] etiqueta,día [8] #cuarentenaestricta,ante [8] #22jun,etiqueta [8] día,#cuarentenaestricta Top Word Pairs in Tweet in G5:
[153] student,nurses [82] health,minister [80] minister,helen [80] helen,whately [78] whately,response [77] response,concerns [76] concerns,student [75] student,nurse [73] nurse,student [73] nhsmillion,health Top Word Pairs in Tweet in G6:
[100] covid,19 [99] trump,cracking [51] cracking,jokes [51] jokes,tulsa [51] tulsa,covid [51] 19,calling [51] calling,kung [51] kung,flu [51] flu,racist [50] racist,belittles Top Word Pairs in Tweet in G7:
[98] covid,19 [50] 24,horas [50] últimas,24 [50] horas,covid [50] mil,personas [50] personas,muertas [50] muertas,registradas [50] registradas,últimas [50] 19,andaba [50] andaba,ocupado Top Word Pairs in Tweet in G8:
[69] य,त [27] च,य [23] र,श [19] पर,क [15] क,ष [15] त,य [15] covid,19 [15] च,व [15] त,त [15] त,र Top Word Pairs in Tweet in G9:
[32] covid,19 [31] operação,solercia [16] solercia,objetivo [16] objetivo,apurar [16] apurar,supostas [16] supostas,irregularidades [15] irregularidades,contratação [15] contratação,órgãos [15] órgãos,secretarias [15] secretarias,governo Top Word Pairs in Tweet in G10:
[33] covid,19 [13] positive,covid [13] cows,scientists [13] scientists,genetically [13] genetically,engineered [13] engineered,animals [13] animals,give [13] give,immune [13] immune,system [13] system,part Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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