The graph represents a network of 1,082 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, 29 July 2022 at 10:14 UTC.
The requested start date was Friday, 29 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, 21-minute period from Friday, 15 July 2022 at 01:00 UTC to Thursday, 28 July 2022 at 12:21 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 : 1082
Unique Edges : 669
Edges With Duplicates : 1329
Total Edges : 1998
Number of Edge Types : 5
Replies to : 155
Mentions : 446
Tweet : 93
MentionsInRetweet : 671
Retweet : 633
Self-Loops : 100
Reciprocated Vertex Pair Ratio : 0.00313479623824451
Reciprocated Edge Ratio : 0.00625
Connected Components : 180
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 238
Maximum Edges in a Connected Component : 1047
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.284574
Graph Density : 0.000820763960254505
Modularity : 0.477182
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,082 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, 29 July 2022 at 10:14 UTC.
The requested start date was Friday, 29 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, 21-minute period from Friday, 15 July 2022 at 01:00 UTC to Thursday, 28 July 2022 at 12:21 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:
[529] informe,diario [529] diario,#covid_19 [529] casos,nuevos [529] casos,activos [529] fallecidos,registrados [516] ministeriosalud,informe [462] registrados,59 [149] nuevos,34 [138] sars,cov [95] nuevos,27 Top Word Pairs in Tweet in G1:
[522] informe,diario [522] diario,#covid_19 [522] casos,nuevos [522] casos,activos [522] fallecidos,registrados [514] ministeriosalud,informe [455] registrados,59 [144] nuevos,34 [94] #covid_19,21 [94] 21,julio 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 G3:
[47] sars,cov [13] 新型コロナウイルス,sars [11] covid,19 [9] 2022,07 [8] cov,の変異株ba [8] の変異株ba,75系統について [8] scholars,portal [6] 2019,ncov [6] 529系統,オミクロン株 [6] ncov,19 Top Word Pairs in Tweet in G6:
[2] sars,cov [2] same,thing Top Word Pairs in Tweet in G7:
[28] 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 [28] 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 [27] georgebest1969,マスクの有効性と安全性 Top Word Pairs in Tweet in G8:
[18] really,cdc [18] cdc,58 [18] 58,transmission [18] transmission,comes [18] comes,symptoms [18] symptoms,babies [18] babies,being [18] being,vaccinated [17] lazaruslong13,really [9] sars,cov Top Word Pairs in Tweet in G9:
[5] 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 G10:
[2] sars,cov [2] cov,virusa Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: