The graph represents a network of 1,056 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, 28 July 2022 at 11:07 UTC.
The requested start date was Thursday, 28 July 2022 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 13-day, 11-hour, 44-minute period from Thursday, 14 July 2022 at 00:28 UTC to Wednesday, 27 July 2022 at 12:12 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 : 1056
Unique Edges : 650
Edges With Duplicates : 1428
Total Edges : 2078
Number of Edge Types : 5
Tweet : 89
Retweet : 684
MentionsInRetweet : 719
Replies to : 154
Mentions : 432
Self-Loops : 97
Reciprocated Vertex Pair Ratio : 0.00426894343649947
Reciprocated Edge Ratio : 0.00850159404888417
Connected Components : 173
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 256
Maximum Edges in a Connected Component : 1186
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.259642
Graph Density : 0.00084464311360046
Modularity : 0.447473
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,056 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, 28 July 2022 at 11:07 UTC.
The requested start date was Thursday, 28 July 2022 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 13-day, 11-hour, 44-minute period from Thursday, 14 July 2022 at 00:28 UTC to Wednesday, 27 July 2022 at 12:12 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:
[599] informe,diario [599] diario,#covid_19 [599] casos,nuevos [599] casos,activos [599] fallecidos,registrados [585] ministeriosalud,informe [462] registrados,59 [149] nuevos,34 [139] sars,cov [137] registrados,58 Top Word Pairs in Tweet in G1:
[592] informe,diario [592] diario,#covid_19 [592] casos,nuevos [592] casos,activos [592] fallecidos,registrados [583] ministeriosalud,informe [455] registrados,59 [144] nuevos,34 [137] registrados,58 [122] nuevos,33 Top Word Pairs in Tweet in G2:
[2] sahabiaali,grard07854442 [2] grard07854442,itsflat7 [2] itsflat7,ninji427 [2] ninji427,changnoy [2] changnoy,pia_mapia [2] pia_mapia,guigui83457472 [2] guigui83457472,lapigreg [2] lapigreg,a__1_0_2_ [2] a__1_0_2_,texide1 [2] n'a,jamais Top Word Pairs in Tweet in G4:
[46] sars,cov [14] 新型コロナウイルス,sars [12] covid,19 [10] cov,の変異株ba [10] の変異株ba,75系統について [9] 2022,07 [8] scholars,portal [7] 2019,ncov [6] ncov,19 [6] drml350phd,interesting Top Word Pairs in Tweet in G6:
[2] sars,cov [2] same,thing Top Word Pairs in Tweet in G7:
[26] マスクの有効性と安全性,およびピットフォールについてはこちらに [26] およびピットフォールについてはこちらに,小児のエビデンスもまとめられています [25] georgebest1969,マスクの有効性と安全性 Top Word Pairs in Tweet in G8:
[6] sars,ncov [5] cdcgov,cdcmmwr [5] cdcmmwr,cdcgov [5] cdcgov,yes [5] yes,cdc [5] cdc,ventilation [5] ventilation,buildings [5] buildings,document [5] document,points [5] points,hepa Top Word Pairs in Tweet in G9:
[3] sars,cov [3] cov,virusa [2] sekvencionisanje,sars Top Word Pairs in Tweet in G10:
[2] sars,cov Top Replied-To in Entire Graph:
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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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: