The graph represents a network of 10,401 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, 19 September 2020 at 07:18 UTC.
The requested start date was Saturday, 19 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 Wednesday, 16 September 2020 at 03:15 UTC to Friday, 18 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 : 10401
Unique Edges : 5298
Edges With Duplicates : 13210
Total Edges : 18508
Number of Edge Types : 5
Retweet : 6032
MentionsInRetweet : 7022
Tweet : 2844
Mentions : 2114
Replies to : 496
Self-Loops : 2884
Reciprocated Vertex Pair Ratio : 0.00349116299367227
Reciprocated Edge Ratio : 0.00695803435529463
Connected Components : 2536
Single-Vertex Connected Components : 703
Maximum Vertices in a Connected Component : 3154
Maximum Edges in a Connected Component : 6797
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 7.879336
Graph Density : 8.5032504271039E-05
Modularity : 0.548064
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 10,401 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, 19 September 2020 at 07:18 UTC.
The requested start date was Saturday, 19 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 Wednesday, 16 September 2020 at 03:15 UTC to Friday, 18 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:
[6574] covid,19 [199] white,house [195] chinese,virologist [190] li,meng [190] meng,yan [186] 19,vaccine [178] go,away [172] olivia,troye [165] donald,trump [163] it'll,go Top Word Pairs in Tweet in G1:
[618] covid,19 [22] during,covid [18] 19,vaccine [17] protokol,kesehatan [16] casos,covid [15] 19,pandemic [15] vote,yes [15] yes,#sb5051 [15] #sb5051,#sb5089 [15] #sb5089,halting Top Word Pairs in Tweet in G2:
[216] covid,19 [22] know,measure [22] measure,failure [22] failure,regarding [22] regarding,covid [22] 19,response [22] response,chriscuomo [22] chriscuomo,way [22] way,kids [21] cnn,know Top Word Pairs in Tweet in G3:
[324] covid,19 [91] 19,crisis [90] 100,richest [90] richest,americans [90] americans,made [90] made,more [90] more,300 [90] 300,billion [90] billion,during [90] during,covid Top Word Pairs in Tweet in G4:
[146] olivia,troye [85] struck,during [85] during,conversation [79] covid,19 [69] much,more [65] long,career [65] career,ahead [64] troye,much [64] more,lose [63] troye,profile Top Word Pairs in Tweet in G5:
[156] covid,19 [64] nashville,mayor's [64] mayor's,office [63] 19,emails [63] emails,nashville [61] office,show [61] show,disturbing [61] disturbing,revelation [42] live,foxnashville [42] foxnashville,9pm Top Word Pairs in Tweet in G6:
[101] covid,19 [32] pastor,opened [32] opened,large [32] large,church [32] church,person [32] person,services [32] services,encouraged [32] encouraged,unmasked [32] unmasked,congregants [32] congregants,gather Top Word Pairs in Tweet in G7:
[183] covid,19 [63] blue,states [57] reminder,jared [57] jared,kushner [55] months,covid [55] 19,declared [55] declared,pandemic [55] pandemic,administration [55] administration,still [55] still,court Top Word Pairs in Tweet in G8:
[281] covid,19 [58] contra,covid [36] casos,comunitarios [27] casos,covid [26] contagios,covid [26] lucha,contra [26] venezuela,registra [26] 51,274 [26] vtvcanal8,#envideo [25] 19,venezuela Top Word Pairs in Tweet in G9:
[58] covid,19 [12] 19,testing [11] testing,update [10] update,more [10] more,details [10] details,visit [10] visit,mohfw_india [10] mohfw_india,depthealthres [10] depthealthres,#icmrfightscovid19 [8] icmrdelhi,covid Top Word Pairs in Tweet in G10:
[161] covid,19 [70] repandybiggsaz,arizona [59] positive,pcr [57] full,transparency [57] pcr,tests [56] arizona,give [56] give,full [56] transparency,state [56] state,covid [56] 19,positive 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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