The graph represents a network of 10,760 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, 18 September 2020 at 07:18 UTC.
The requested start date was Friday, 18 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, 15 September 2020 at 03:15 UTC to Thursday, 17 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 : 10760
Unique Edges : 5558
Edges With Duplicates : 13288
Total Edges : 18846
Number of Edge Types : 5
Retweet : 6101
MentionsInRetweet : 7121
Replies to : 485
Mentions : 2235
Tweet : 2904
Self-Loops : 2950
Reciprocated Vertex Pair Ratio : 0.00243360490953338
Reciprocated Edge Ratio : 0.00485539370909859
Connected Components : 2629
Single-Vertex Connected Components : 665
Maximum Vertices in a Connected Component : 2844
Maximum Edges in a Connected Component : 5942
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.764657
Graph Density : 8.18369059741114E-05
Modularity : 0.55738
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 10,760 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, 18 September 2020 at 07:18 UTC.
The requested start date was Friday, 18 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, 15 September 2020 at 03:15 UTC to Thursday, 17 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:
[6853] covid,19 [350] go,away [322] it'll,go [275] chinese,virologist [271] li,meng [267] meng,yan [249] 19,made [248] dr,li [212] wuhan,lab [211] donald,trump Top Word Pairs in Tweet in G1:
[589] covid,19 [22] 19,vaccine [15] protokol,kesehatan [15] casos,covid [14] 19,cases [14] cegah,covid [14] 19,pandemic [13] #covid,19 [12] memakai,masker [12] masker,mencuci Top Word Pairs in Tweet in G2:
[313] covid,19 [45] casos,comunitarios [44] contra,covid [36] vtvcanal8,#envideo [29] últimas,24 [29] 24,horas [28] venezuela,registra [28] ministro,comunicación [26] contagios,covid [22] casos,covid Top Word Pairs in Tweet in G3:
[190] covid,19 [37] regarding,covid [36] know,measure [36] measure,failure [36] failure,regarding [36] 19,response [36] response,chriscuomo [36] chriscuomo,way [36] way,kids [35] cnn,know Top Word Pairs in Tweet in G4:
[151] covid,19 [88] dr,li [88] li,meng [88] meng,yan [85] chinese,virologist [79] wuhan,lab [77] 19,made [77] made,wuhan [61] wow,amazing [61] amazing,shocking Top Word Pairs in Tweet in G5:
[109] covid,19 [60] 19,emails [60] emails,nashville [60] nashville,mayor's [60] mayor's,office [60] office,show [60] show,disturbing [60] disturbing,revelation [42] live,foxnashville [42] foxnashville,9pm Top Word Pairs in Tweet in G6:
[316] it'll,go [316] go,away [166] covid,19 [104] donald,trump's [104] trump's,covid [104] 19,plan [104] plan,feb [104] feb,covid [104] covid,mar [104] mar,it'll Top Word Pairs in Tweet in G7:
[128] covid,19 [85] donald,trump [64] 200,000 [63] nearly,200 [63] 000,americans [61] ve,lost [61] lost,nearly [61] americans,covid [61] 19,didn [61] didn,bad Top Word Pairs in Tweet in G8:
[116] covid,19 [66] blue,states [60] reminder,jared [60] jared,kushner [58] mmpadellan,reminder [53] kushner,pulled [53] pulled,national [53] national,plan [53] plan,looked [53] looked,covid Top Word Pairs in Tweet in G9:
[134] covid,19 [69] repandybiggsaz,arizona [60] positive,pcr [56] full,transparency [56] pcr,tests [55] arizona,give [55] give,full [55] transparency,state [55] state,covid [55] 19,positive Top Word Pairs in Tweet in G10:
[124] covid,19 [36] 19,created [25] chinese,virologist [25] dr,li [25] li,meng [25] meng,yan [24] cdc,published [24] published,findings [24] findings,last [24] last,week Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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: