The graph represents a network of 9,761 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 Friday, 20 November 2020 at 11:23 UTC.
The requested start date was Friday, 20 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 8-day, 23-hour, 59-minute period from Wednesday, 11 November 2020 at 01:01 UTC to Friday, 20 November 2020 at 01:00 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 : 9761
Unique Edges : 5593
Edges With Duplicates : 11488
Total Edges : 17081
Number of Edge Types : 5
Replies to : 1510
Mentions : 3481
Retweet : 5161
MentionsInRetweet : 6298
Tweet : 631
Self-Loops : 660
Reciprocated Vertex Pair Ratio : 0.0037008180755746
Reciprocated Edge Ratio : 0.00737434504172327
Connected Components : 1059
Single-Vertex Connected Components : 334
Maximum Vertices in a Connected Component : 6168
Maximum Edges in a Connected Component : 13017
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.466705
Graph Density : 0.000108179758523801
Modularity : 0.586044
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,761 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 Friday, 20 November 2020 at 11:23 UTC.
The requested start date was Friday, 20 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 8-day, 23-hour, 59-minute period from Wednesday, 11 November 2020 at 01:01 UTC to Friday, 20 November 2020 at 01:00 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:
[275] masks,help [243] help,reduce [242] reduce,inhalation [240] inhalation,droplets [240] droplets,wearer [236] yeah,cdcgov [236] cdcgov,making [236] making,things [236] things,masks [235] alexberenson,yeah Top Word Pairs in Tweet in G3:
[648] large,randomized [648] randomized,controlled [648] controlled,trial [648] trial,published [648] published,top [648] top,medical [648] medical,journal [648] journal,showing [648] showing,masks [647] jamestodaromd,large Top Word Pairs in Tweet in G4:
[427] cloth,masks [427] source,control [427] control,personal [427] personal,protection [427] protect,others [426] updated,today [426] today,cdc [426] cdc,recognizes [426] recognizes,cloth [426] masks,act Top Word Pairs in Tweet in G5:
[122] sars,cov [77] cloth,masks [68] scientific,brief [64] spread,sars [63] community,use [62] use,cloth [62] control,spread [61] masks,control [60] brief,community [54] covid,19 Top Word Pairs in Tweet in G6:
[36] sars,cov [35] covid,19 [34] general,positive [34] positive,antibody [34] antibody,test [34] test,presumed [34] presumed,mean [34] mean,person [33] person,infected [33] infected,sars Top Word Pairs in Tweet in G7:
[81] 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 G8:
[173] protege,demás [172] estados,unidos [172] cubrebocas,protege [154] 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 G9:
[71] scientific,brief [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] cloth,masks [64] masks,control [64] control,spread Top Word Pairs in Tweet in G10:
[50] universal,masking [49] economic,analysis [49] analysis,found [49] found,increasing [49] increasing,universal [49] masking,15 [49] 15,prevent [49] prevent,need [49] need,lockdowns [48] surgeon_general,economic Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: