The graph represents a network of 800 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 Sunday, 25 December 2022 at 11:14 UTC.
The requested start date was Sunday, 25 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 12-day, 4-hour, 39-minute period from Sunday, 11 December 2022 at 01:01 UTC to Friday, 23 December 2022 at 05:40 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 : 800
Unique Edges : 485
Edges With Duplicates : 1313
Total Edges : 1798
Number of Edge Types : 5
Retweet : 601
MentionsInRetweet : 640
Mentions : 369
Replies to : 116
Tweet : 72
Self-Loops : 85
Reciprocated Vertex Pair Ratio : 0.00937081659973226
Reciprocated Edge Ratio : 0.0185676392572944
Connected Components : 121
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 170
Maximum Edges in a Connected Component : 980
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.438059
Graph Density : 0.00117959949937422
Modularity : 0.413778
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 800 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 Sunday, 25 December 2022 at 11:14 UTC.
The requested start date was Sunday, 25 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 12-day, 4-hour, 39-minute period from Sunday, 11 December 2022 at 01:01 UTC to Friday, 23 December 2022 at 05:40 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:
[497] casos,nuevos [497] diario,#covid_19 [497] fallecidos,registrados [497] informe,diario [496] casos,activos [484] ministeriosalud,informe [368] registrados,62 [243] activos,fallecidos [143] sars,cov [127] nuevos,10 Top Word Pairs in Tweet in G1:
[496] casos,activos [496] fallecidos,registrados [496] diario,#covid_19 [496] informe,diario [496] casos,nuevos [484] ministeriosalud,informe [367] registrados,62 [243] activos,fallecidos [127] nuevos,10 [58] diciembre,713 Top Word Pairs in Tweet in G2:
[2] ink_caro,csapeforce [2] j_bardella,emmanuelmacron [2] didiermaisto,zemmoureric [2] yovdb,ink_caro [2] sitting_bull_d,yovdb [2] csapeforce,jlmelenchon [2] jlmelenchon,didiermaisto [2] zemmoureric,j_bardella Top Word Pairs in Tweet in G4:
[2] elonmusk,stationcdrkelly [2] sars,ncov [2] sars,2019 [2] covid,19 [2] ncov,sars [2] spike,protein [2] sars,cov Top Word Pairs in Tweet in G5:
[10] sars,cov2 [8] expliquer,pourquoi [8] pdg,moderna [8] moderna,peut [8] séquence,gène [8] peut,expliquer [8] sa,société [8] gène,sars [8] d'une,séquence [8] société,détient Top Word Pairs in Tweet in G6:
[25] sars,cov [23] evidence,sars [23] cause,immune [23] increasing,evidence [23] cov,cause [23] 2022,increasing [23] immune,dysregulation [16] dysregulation,potential [16] potential,increase [10] pho,2022 Top Word Pairs in Tweet in G7:
[32] sars,cov [17] covid,19 [8] scholars,portal [8] 2022,12 [7] 19,vaccine [7] chadox1,ncov [7] 2019,ncov [7] ncov,19 [6] drml350phd,interesting [5] delta,variant Top Word Pairs in Tweet in G9:
[12] 1系統,xbb系統に関する知見の更新 [12] bq,1系統 [12] の変異株について,第23報 [12] 国立感染研から,感染 [12] 第23報,第22報からの変更点 [12] sars,cov [12] 感染,伝播性の増加や抗原性の変化が懸念される [12] 新型コロナウイルス,sars [12] cov,の変異株について [12] 各変異株の国内外での発生状況の更新,bq Top Word Pairs in Tweet in G10:
[12] masks,control [12] protegen,contra [12] use,masks [12] science,brief [12] barbijos,protegen [12] cov,cdc [12] brief,community [12] sars,cov [12] cdc,barbijos [12] control,spread Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: