The graph represents a network of 8,470 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 19 November 2020 at 10:15 UTC.
The requested start date was Wednesday, 18 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 13-day, 23-hour, 7-minute period from Wednesday, 04 November 2020 at 01:24 UTC to Wednesday, 18 November 2020 at 00:31 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 : 8470
Unique Edges : 5112
Edges With Duplicates : 10440
Total Edges : 15552
Number of Edge Types : 5
Replies to : 1111
Mentions : 2816
Retweet : 4789
MentionsInRetweet : 6221
Tweet : 615
Self-Loops : 642
Reciprocated Vertex Pair Ratio : 0.00365748709122203
Reciprocated Edge Ratio : 0.00728831725616292
Connected Components : 959
Single-Vertex Connected Components : 330
Maximum Vertices in a Connected Component : 5268
Maximum Edges in a Connected Component : 11615
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.927943
Graph Density : 0.000130066693683736
Modularity : 0.576591
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,470 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 19 November 2020 at 10:15 UTC.
The requested start date was Wednesday, 18 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 13-day, 23-hour, 7-minute period from Wednesday, 04 November 2020 at 01:24 UTC to Wednesday, 18 November 2020 at 00:31 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 : SARS-NCOV
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:
[1194] cubrebocas,protege [1171] protege,demás [1170] estados,unidos [1029] usar,cubrebocas [1019] demás,sino [1019] propio,usuario [1019] cdc,aceptan [1017] unidos,cdc [1017] aceptan,finalmente [1017] finalmente,usar Top Word Pairs in Tweet in G1:
[987] usar,cubrebocas [987] cubrebocas,protege [987] protege,demás [987] demás,sino [987] propio,usuario [986] estados,unidos [986] unidos,cdc [986] cdc,aceptan [986] aceptan,finalmente [986] finalmente,usar Top Word Pairs in Tweet in G2:
[527] masks,help [496] help,reduce [496] reduce,inhalation [494] inhalation,droplets [494] droplets,wearer [490] yeah,cdcgov [490] cdcgov,making [490] making,things [490] things,masks [489] alexberenson,yeah Top Word Pairs in Tweet in G3:
[498] cloth,masks [491] protect,others [490] updated,today [490] today,cdc [490] cdc,recognizes [490] recognizes,cloth [490] masks,act [490] act,both [490] both,source [490] source,control Top Word Pairs in Tweet in G4:
[135] sars,cov [76] cloth,masks [68] covid,19 [68] scientific,brief [66] spread,sars [63] community,use [63] use,cloth [62] control,spread [61] brief,community [61] masks,control Top Word Pairs in Tweet in G5:
[82] protect,others [78] masks,protect [78] protect,wearer [77] encouraging,science [77] science,brief [77] brief,cdc [77] cdc,masks [77] others,protect [77] wearer,one [77] one,thing Top Word Pairs in Tweet in G6:
[173] protege,demás [172] estados,unidos [172] cubrebocas,protege [152] uso,cubrebocas [151] cdc,estados [151] unidos,reconoce [151] reconoce,uso [151] demás,quien [151] quien,usa [151] usa,avísenle Top Word Pairs in Tweet in G7:
[70] scientific,brief [65] cloth,masks [64] 将来,インフルエンザパンデミックが来るでしょうが [64] インフルエンザパンデミックが来るでしょうが,もうマスク議論はもう終了で良いかと [64] もうマスク議論はもう終了で良いかと,scientific [64] brief,community [64] community,use [64] use,cloth [64] masks,control [64] control,spread Top Word Pairs in Tweet in G8:
[22] sars,cov [16] quantified,virus [16] virus,isolates [16] isolates,2019 [16] 2019,ncov [16] ncov,currently [16] currently,available [14] 13,20 [14] analytical,performance [13] performance,quantified Top Word Pairs in Tweet in G9:
[82] nytimes,updates [82] updates,findings [82] findings,mask [82] mask,wearing [82] wearing,protects [82] protects,those [82] those,around [82] around,apoorva_nyc [81] greg_folkers,nytimes [81] apoorva_nyc,#covi Top Word Pairs in Tweet in G10:
[15] sars,cov [15] 2019,ncov [14] whole,corona [14] corona,covid [14] covid,sars [14] cov,2019 [14] ncov,scam [14] scam,much [14] much,bigger [14] bigger,people 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 G8:
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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: