The graph represents a network of 5,166 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 Wednesday, 16 February 2022 at 09:56 UTC.
The requested start date was Wednesday, 16 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, 11-hour, 0-minute period from Wednesday, 02 February 2022 at 01:15 UTC to Tuesday, 15 February 2022 at 12:15 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 : 5166
Unique Edges : 2085
Edges With Duplicates : 7730
Total Edges : 9815
Number of Edge Types : 5
Replies to : 564
Mentions : 1723
Retweet : 3341
MentionsInRetweet : 3720
Tweet : 467
Self-Loops : 496
Reciprocated Vertex Pair Ratio : 0.00602863602110023
Reciprocated Edge Ratio : 0.0119850187265918
Connected Components : 596
Single-Vertex Connected Components : 175
Maximum Vertices in a Connected Component : 3007
Maximum Edges in a Connected Component : 6893
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.383912
Graph Density : 0.000200131997171168
Modularity : 0.51579
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,166 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 Wednesday, 16 February 2022 at 09:56 UTC.
The requested start date was Wednesday, 16 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, 11-hour, 0-minute period from Wednesday, 02 February 2022 at 01:15 UTC to Tuesday, 15 February 2022 at 12:15 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:
[2682] sars,cov [1364] ace2,horseshoe [1364] horseshoe,bat [1364] bat,unable [1364] unable,act [1361] discovered,hell [1361] hell,hell [1361] hell,going [1361] going,ace2 [1360] parsifaler,discovered Top Word Pairs in Tweet in G1:
[1237] discovered,hell [1237] hell,hell [1237] hell,going [1237] going,ace2 [1237] ace2,horseshoe [1237] horseshoe,bat [1237] bat,unable [1237] unable,act [1236] parsifaler,discovered [1236] act,functi Top Word Pairs in Tweet in G2:
[312] sars,cov [290] sars,cov2 [285] base,sars [285] cov,c'est [285] c'est,terrible [285] terrible,ça [285] ça,même [285] même,sars [285] cov2,wuhan [285] wuhan,2020 Top Word Pairs in Tweet in G3:
[228] daszak's,government [228] government,biosketch [228] biosketch,look [228] look,dates [228] dates,pre [228] pre,fauci [228] fauci,nih [228] nih,talking [228] talking,making [228] making,vaccines Top Word Pairs in Tweet in G4:
[241] sars,cov [200] structural,similarity [200] similarity,between [200] between,hiv [200] hiv,gp41 [200] gp41,sars [200] cov,s2 [200] s2,proteins [200] proteins,suggests [200] suggests,analogous Top Word Pairs in Tweet in G5:
[23] 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 G6:
[266] sars,cov [48] î,î [21] 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 G7:
[60] 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 G8:
[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 G9:
[147] 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 Word Pairs in Tweet in G10:
[47] sars,cov [43] article,question [43] question,protéines [43] protéines,l'enzyme [43] l'enzyme,conversion [43] conversion,l'angiotensine [43] l'angiotensine,ace2 [43] ace2,différentes [43] différentes,espèces [42] medic4allhuman,article Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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 G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: