The graph represents a network of 9,869 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 Saturday, 07 November 2020 at 08:21 UTC.
The requested start date was Friday, 06 November 2020 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 2-day, 0-hour, 4-minute period from Tuesday, 03 November 2020 at 05:28 UTC to Thursday, 05 November 2020 at 05:32 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 : 9869
Unique Edges : 5180
Edges With Duplicates : 11537
Total Edges : 16717
Number of Edge Types : 5
Retweet : 5110
MentionsInRetweet : 5865
Tweet : 3358
Mentions : 1769
Replies to : 615
Self-Loops : 3387
Reciprocated Vertex Pair Ratio : 0.00504789024074553
Reciprocated Edge Ratio : 0.0100450740502254
Connected Components : 3045
Single-Vertex Connected Components : 1219
Maximum Vertices in a Connected Component : 1881
Maximum Edges in a Connected Component : 4041
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.822778
Graph Density : 7.97331955795629E-05
Modularity : 0.538643
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,869 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 Saturday, 07 November 2020 at 08:21 UTC.
The requested start date was Friday, 06 November 2020 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 2-day, 0-hour, 4-minute period from Tuesday, 03 November 2020 at 05:28 UTC to Thursday, 05 November 2020 at 05:32 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:
[6798] covid,19 [336] protokol,kesehatan [333] 19,cases [235] hak,pilih [233] pandemi,covid [204] white,house [203] berhasil,dilaksanakan [178] 19,case [174] johns,hopkins [170] hopkins,top Top Word Pairs in Tweet in G1:
[1158] covid,19 [140] protokol,kesehatan [78] hak,pilih [58] disiplin,protokol [49] pandemi,covid [47] masa,depan [40] gunakan,hak [40] pilih,dalam [38] 19,cases [38] pencegahan,covid Top Word Pairs in Tweet in G2:
[148] covid,19 [15] died,covid [12] 19,pandemic [12] president,trump [11] 19,vaccine [11] 19,deaths [10] public,president [10] trump,compared [10] compared,covid [10] 19,flu Top Word Pairs in Tweet in G3:
[120] sars,cov [107] coronavirus,catarros [107] catarros,circulan [107] circulan,épocas [107] épocas,frío [107] frío,atenemos [107] atenemos,comportamiento [107] comportamiento,sars [106] doctormacias,coronavirus [72] covid,19 Top Word Pairs in Tweet in G4:
[167] covid,19 [163] administration,literally [163] literally,left [163] left,white [163] white,house [163] house,playbook [163] playbook,shown [163] shown,respond [163] respond,before [163] before,covid Top Word Pairs in Tweet in G5:
[168] covid,19 [167] johns,hopkins [167] hopkins,top [167] top,covid [167] 19,case [167] case,days [167] days,far [167] far,1october [167] 1october,30 [167] 30,99 Top Word Pairs in Tweet in G6:
[110] covid,19 [20] vaksin,covid [15] top,glove [15] suku,pertama [15] pertama,2021 [13] dijangka,diperoleh [13] diperoleh,pada [13] pada,suku [12] #awaninews,#awani745 [12] menjawab,soalan Top Word Pairs in Tweet in G7:
[110] covid,19 [72] trump,stop [72] stop,hearing [72] hearing,covid [72] 19,nov [72] nov,instead [72] instead,reported [72] reported,one [72] one,highest [72] highest,single Top Word Pairs in Tweet in G8:
[33] covid,19 [18] express,immense [18] immense,gratitude [18] gratitude,india [18] india,completing [18] completing,donation [18] donation,75 [18] 75,000 [18] 000,mt [18] mt,wheat Top Word Pairs in Tweet in G9:
[171] covid,19 [53] pisan,kang [53] kang,ridwankamil [53] ridwankamil,mendapat [53] mendapat,penghargaan [53] penghargaan,dari [53] dari,cnbcindonesia [53] berprestasi,dibidang [53] dibidang,ekonomi [51] sae,pisan Top Word Pairs in Tweet in G10:
[63] covid,19 [20] drericding,breaking [19] breaking,children [19] children,make [19] make,11 [19] 11,#covid19 [19] #covid19,cases [19] cases,april [19] april,over [19] over,61 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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 G10: