The graph represents a network of 5,421 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 February 2022 at 12:04 UTC.
The requested start date was Thursday, 17 February 2022 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, 9-hour, 14-minute period from Thursday, 03 February 2022 at 01:27 UTC to Wednesday, 16 February 2022 at 10:41 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 : 5421
Unique Edges : 2093
Edges With Duplicates : 8269
Total Edges : 10362
Number of Edge Types : 5
Retweet : 3644
MentionsInRetweet : 4031
Replies to : 550
Mentions : 1669
Tweet : 468
Self-Loops : 498
Reciprocated Vertex Pair Ratio : 0.00556153570147112
Reciprocated Edge Ratio : 0.0110615521855486
Connected Components : 592
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 3451
Maximum Edges in a Connected Component : 7786
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5.014384
Graph Density : 0.000190764220868551
Modularity : 0.513993
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,421 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 February 2022 at 12:04 UTC.
The requested start date was Thursday, 17 February 2022 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, 9-hour, 14-minute period from Thursday, 03 February 2022 at 01:27 UTC to Wednesday, 16 February 2022 at 10:41 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-COV
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:
[2679] sars,cov [1378] ace2,horseshoe [1378] horseshoe,bat [1378] bat,unable [1378] unable,act [1375] discovered,hell [1375] hell,hell [1375] hell,going [1375] going,ace2 [1374] parsifaler,discovered Top Word Pairs in Tweet in G1:
[1252] discovered,hell [1252] hell,hell [1252] hell,going [1252] going,ace2 [1252] ace2,horseshoe [1252] horseshoe,bat [1252] bat,unable [1252] unable,act [1251] parsifaler,discovered [1251] act,functi Top Word Pairs in Tweet in G2:
[338] sars,cov [287] base,sars [287] cov,c'est [287] c'est,terrible [287] terrible,ça [287] ça,même [287] même,sars [287] sars,cov2 [287] cov2,wuhan [287] wuhan,2020 Top Word Pairs in Tweet in G3:
[266] fda,heeft [262] toegegeven,dat [262] pcr,test [261] heeft,nu [261] nu,toegegeven [261] dat,geen [261] geen,geïsoleerde [261] geïsoleerde,monsters [261] monsters,waren [261] waren,pcr Top Word Pairs in Tweet in G4:
[240] sars,cov [199] structural,similarity [199] similarity,between [199] between,hiv [199] hiv,gp41 [199] gp41,sars [199] cov,s2 [199] s2,proteins [199] proteins,suggests [199] suggests,analogous Top Word Pairs in Tweet in G5:
[232] daszak's,government [232] government,biosketch [232] biosketch,look [232] look,dates [232] dates,pre [232] pre,fauci [232] fauci,nih [232] nih,talking [232] talking,making [232] making,vaccines Top Word Pairs in Tweet in G6:
[21] sars,cov [6] claudeddaniel,thatsnotmine125 [6] swaledalemutton,maureenstroud [5] lwsmith15,swaledalemutton [5] maureenstroud,jsaholmes [5] buzzkent1776,carlsmythe [5] carlsmythe,barryjohnreid21 [5] barryjohnreid21,rw_christian [5] original,sars [4] temple_surly,claudeddaniel Top Word Pairs in Tweet in G7:
[256] sars,cov [24] î,î [19] covid,19 [18] mers,cov [12] months,covid [12] 19,infection [12] infection,before [12] before,booster [12] amid,mixed [12] mixed,messages Top Word Pairs in Tweet in G8:
[55] sars,cov [6] bastonarioom,virusesimmunity [6] virusesimmunity,erictopol [6] erictopol,ballouxfrancois [6] ballouxfrancois,jornalpoligrafo [6] jornalpoligrafo,ema_news [6] ema_news,fitterhappieraj [6] fitterhappieraj,who_europe [6] who_europe,dgsaude [6] dgsaude,sns_portugal Top Word Pairs in Tweet in G9:
[118] sars,cov [99] 60465927il,25 [99] 25,aprile [99] aprile,2003 [99] 2003,agenzia [99] agenzia,governativa [99] governativa,usa [99] usa,hhs [99] hhs,deposita [99] deposita,brevetto Top Word Pairs in Tweet in G10:
[150] sars,cov [32] seriously,consider [30] shills,suggest [30] bears,partial [30] partial,responsibliity [30] pandemic,seriously [29] biodefense,shills [29] suggest,biosecurity [29] biosecurity,regulation [29] regulation,bears Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: