The graph represents a network of 881 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 Monday, 12 December 2022 at 11:00 UTC.
The requested start date was Monday, 12 December 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 11-day, 5-hour, 24-minute period from Monday, 28 November 2022 at 02:21 UTC to Friday, 09 December 2022 at 07:45 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 : 881
Unique Edges : 360
Edges With Duplicates : 1647
Total Edges : 2007
Number of Edge Types : 5
Retweet : 805
MentionsInRetweet : 831
Tweet : 84
Replies to : 82
Mentions : 205
Self-Loops : 94
Reciprocated Vertex Pair Ratio : 0.00762388818297332
Reciprocated Edge Ratio : 0.0151324085750315
Connected Components : 130
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 270
Maximum Edges in a Connected Component : 934
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.973852
Graph Density : 0.00102285625838407
Modularity : 0.382747
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 881 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 Monday, 12 December 2022 at 11:00 UTC.
The requested start date was Monday, 12 December 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 11-day, 5-hour, 24-minute period from Monday, 28 November 2022 at 02:21 UTC to Friday, 09 December 2022 at 07:45 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:
[474] diario,#covid_19 [474] fallecidos,registrados [474] informe,diario [473] casos,nuevos [473] casos,activos [461] ministeriosalud,informe [333] registrados,62 [311] #covid_19,diciembre [271] masks,work [268] work,reduce Top Word Pairs in Tweet in G1:
[268] masks,work [268] reduce,spread [268] evidence,masks [268] misinformation,evidence [268] work,reduce [268] fall,misinformation [268] covid,abundant [268] crystal,clear [268] spread,covid [268] abundant,crystal Top Word Pairs in Tweet in G2:
[473] casos,activos [473] fallecidos,registrados [473] diario,#covid_19 [473] informe,diario [473] casos,nuevos [461] ministeriosalud,informe [332] registrados,62 [310] #covid_19,diciembre [97] 10,fallecidos [97] activos,10 Top Word Pairs in Tweet in G3:
[2] idunsdaughter,zeetubesii [2] ogilville1,provaxtexan [2] mcfunny,scottstocker4 [2] dfrost733,idunsdaughter [2] provaxtexan,doom37455413 [2] scottstocker4,dfrost733 [2] pouldeau61,mcfunny [2] jkelleyk,pouldeau61 [2] zeetubesii,ogilville1 [2] pr,release Top Word Pairs in Tweet in G4:
[21] sars,cov [17] spike,protein [15] micro,clotting [14] sars,ncov [14] due,spike [14] associated,systemic [14] induced,hemolysis [14] resulting,amyloid [14] ncov,associated [14] clotting,due Top Word Pairs in Tweet in G6:
[14] source,sars [14] sars,cov [14] source,rsv [14] rsv,source [13] dgbassani,source Top Word Pairs in Tweet in G8:
[11] calibrated,finding [11] doc,showing [11] sars,cov [11] tests,never [11] finding,virus [11] pcr,tests [11] fda,doc [11] never,calibrated [11] virus,called [11] showing,pcr Top Word Pairs in Tweet in G10:
[3] jplatte11,drjamesolsson [3] unique,never [3] appears,prion [3] drjamesolsson,given [3] given,unique [3] nature,appears [3] never,seen [3] before,nature [3] prion,misfolding [3] seen,before Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
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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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: