The graph represents a network of 8,976 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 May 2020 at 07:19 UTC.
The requested start date was Sunday, 03 May 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, 1-minute period from Friday, 01 May 2020 at 12:25 UTC to Saturday, 02 May 2020 at 12:26 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 : 8976
Unique Edges : 5388
Edges With Duplicates : 7758
Total Edges : 13146
Number of Edge Types : 5
Replies to : 464
Mentions : 1963
Retweet : 3646
MentionsInRetweet : 4354
Tweet : 2719
Self-Loops : 2747
Reciprocated Vertex Pair Ratio : 0.00500303214069133
Reciprocated Edge Ratio : 0.00995625282848092
Connected Components : 3131
Single-Vertex Connected Components : 732
Maximum Vertices in a Connected Component : 409
Maximum Edges in a Connected Component : 784
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.262207
Graph Density : 8.22869031127265E-05
Modularity : 0.59524
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 8,976 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 May 2020 at 07:19 UTC.
The requested start date was Sunday, 03 May 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, 1-minute period from Friday, 01 May 2020 at 12:25 UTC to Saturday, 02 May 2020 at 12:26 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
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:
[3291] covid,19 [109] 19,pandemic [72] during,covid [71] #covid,19 [64] 19,deaths [63] क,स [61] 19,cases [57] contra,covid [54] र,न [53] against,covid Top Word Pairs in Tweet in G1:
[364] covid,19 [15] 19,pandemic [12] during,covid [9] क,स [7] 19,lockdown [7] coronavirus,covid [7] क,र [7] #covid,19 [6] impact,covid [5] positive,covid Top Word Pairs in Tweet in G2:
[94] covid,19 [15] matter,negative [15] negative,reports [15] reports,media [15] media,liberal [15] liberal,politicians [15] politicians,use [15] use,covid [15] 19,destroy [15] destroy,pres Top Word Pairs in Tweet in G3:
[43] covid,19 [17] क,र [13] स,क [13] ह,त [13] र,य [12] स,रक [12] रक,ष [12] ख,ल [12] क,रमण [11] न,क Top Word Pairs in Tweet in G4:
[37] covid,19 [11] kaduna,state [7] china,refused [7] take,part [7] part,investigations [7] investigations,origins [7] 19,cases [7] #covid,19 [6] origins,#covid19 [6] #covid19,representative Top Word Pairs in Tweet in G5:
[25] covid,19 [18] cdc,revised [16] holy,shit [16] shit,read [16] read,wrong [16] wrong,cdc [16] revised,national [16] national,covid [16] 19,deaths [16] deaths,37 Top Word Pairs in Tweet in G6:
[10] valle,méxico [9] covid,19 [6] tuvimos,reunión [6] reunión,coordinar [6] coordinar,acciones [6] acciones,salud [6] salud,zona [6] zona,metropolitana [6] metropolitana,valle [6] méxico,claudiashein Top Word Pairs in Tweet in G7:
[28] covid,19 [14] hora,bajar [14] bajar,guardia [13] guardia,ante [13] ante,covid [13] 19,#cubasalvavidas [13] #cubasalvavidas,#somoscuba [13] #somoscuba,presidenciacuba [13] #cuba,tierra [13] tierra,libre Top Word Pairs in Tweet in G8:
[24] covid,19 [8] 11,millones [8] millones,440 [8] 440,mil [8] mil,324 [8] 324,venezolanos [8] venezolanos,respondido [8] respondido,nueva [8] nueva,encuesta [8] encuesta,covid Top Word Pairs in Tweet in G9:
[26] covid,19 [9] combate,ao [9] ao,covid [8] todas,pesquisas [8] pesquisas,feitas [8] feitas,encima [8] encima,covid [8] 19,mostram [8] mostram,contágio [8] contágio,maior Top Word Pairs in Tweet in G10:
[29] covid,19 [6] pak,jokowi [6] kami,tau [6] yg,bapak [5] obat,anti [5] anti,virus [5] virus,corona [5] corona,covid [5] 19,telah [5] remdesivir,approved Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: