The graph represents a network of 9,942 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 Friday, 25 September 2020 at 07:18 UTC.
The requested start date was Friday, 25 September 2020 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, 2-minute period from Tuesday, 22 September 2020 at 03:15 UTC to Thursday, 24 September 2020 at 03:17 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 : 9942
Unique Edges : 5335
Edges With Duplicates : 13730
Total Edges : 19065
Number of Edge Types : 5
Retweet : 6141
MentionsInRetweet : 7770
Tweet : 2562
Replies to : 592
Mentions : 2000
Self-Loops : 2673
Reciprocated Vertex Pair Ratio : 0.00244837130083032
Reciprocated Edge Ratio : 0.0048847828395455
Connected Components : 2308
Single-Vertex Connected Components : 651
Maximum Vertices in a Connected Component : 3293
Maximum Edges in a Connected Component : 8261
Maximum Geodesic Distance (Diameter) : 41
Average Geodesic Distance : 11.519175
Graph Density : 9.52815334067862E-05
Modularity : 0.537724
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,942 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 Friday, 25 September 2020 at 07:18 UTC.
The requested start date was Friday, 25 September 2020 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, 2-minute period from Tuesday, 22 September 2020 at 03:15 UTC to Thursday, 24 September 2020 at 03:17 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 Entire Graph:
[6617] covid,19 [554] young,people [500] 200,000 [358] 19,pandemic [339] special,message [339] message,young [338] share,special [298] 12,hours [296] hours,go [296] go,tomorrow Top Word Pairs in Tweet in G1:
[534] young,people [339] special,message [339] message,young [338] share,special [296] 12,hours [296] hours,go [296] go,tomorrow [296] tomorrow,reunite [296] reunite,virtually [296] virtually,bts_twt Top Word Pairs in Tweet in G2:
[597] covid,19 [29] penyebaran,covid [27] protokol,kesehatan [20] 19,cases [19] pandemi,covid [14] 19,vaccine [14] 19,#hidupsehatterapkan3m [13] 200,000 [12] positive,covid [12] due,covid Top Word Pairs in Tweet in G3:
[209] covid,19 [45] preexisting,condition [44] 200,000 [44] 19,preexisting [44] condition,realdonaldtrump [43] projectlincoln,covid [30] die,covid [21] 80,people [21] people,die [21] covid,65 Top Word Pairs in Tweet in G4:
[277] covid,19 [67] contra,covid [37] casos,covid [33] últimas,24 [33] 24,horas [28] 19,#6dvictoriachavista [25] #6dvictoriachavista,#dialogodemocraciaypaz [24] venezuela,registra [24] asamblea,general [23] lucha,contra Top Word Pairs in Tweet in G5:
[265] airline,workers [210] covid,19 [177] workers,need [177] need,co [177] co,sponsor [177] sponsor,support [177] support,4634 [177] 4634,bill [177] bill,provide [177] provide,support Top Word Pairs in Tweet in G6:
[146] covid,19 [132] 200,000 [130] joebiden,200 [125] 000,people [125] people,we've [125] we've,lost [125] lost,covid [125] 19,nobodies [125] nobodies,mr [125] mr,president Top Word Pairs in Tweet in G7:
[159] covid,19 [156] people,died [156] died,covid [145] dad,one [145] one,200k [145] 200k,people [145] 19,super [145] super,healthy [145] healthy,pre [145] pre,existing Top Word Pairs in Tweet in G8:
[151] bts,unicef [151] unicef,others [151] others,protraction [151] protraction,covid [151] covid,19 [151] 19,crisis [151] crisis,future [151] future,generation [151] generation,23 [151] 23,수 Top Word Pairs in Tweet in G9:
[86] covid,19 [19] os,jogadores [18] positivo,covid [18] casos,covid [18] hilal,saudi [18] saudi,club [17] são,19 [17] 19,casos [17] 19,os [17] jogadores,mais Top Word Pairs in Tweet in G10:
[143] covid,19 [33] dad,copd [33] copd,diagnosed [33] diagnosed,covid [33] 19,fluent [33] fluent,lakota [33] lakota,speaker [33] speaker,traditional [33] traditional,knowledge [33] knowledge,carrier 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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Top Tweeters in G10: