The graph represents a network of 973 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, 10 July 2022 at 10:18 UTC.
The requested start date was Sunday, 10 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 11-day, 10-hour, 41-minute period from Sunday, 26 June 2022 at 00:30 UTC to Thursday, 07 July 2022 at 11:12 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 : 973
Unique Edges : 352
Edges With Duplicates : 1673
Total Edges : 2025
Number of Edge Types : 5
Retweet : 793
MentionsInRetweet : 815
Replies to : 101
Mentions : 232
Tweet : 84
Self-Loops : 92
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 118
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 261
Maximum Edges in a Connected Component : 984
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.258228
Graph Density : 0.000935759329044701
Modularity : 0.42609
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 973 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, 10 July 2022 at 10:18 UTC.
The requested start date was Sunday, 10 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 11-day, 10-hour, 41-minute period from Sunday, 26 June 2022 at 00:30 UTC to Thursday, 07 July 2022 at 11:12 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:
[502] informe,diario [502] casos,nuevos [502] casos,activos [502] fallecidos,registrados [501] diario,#covid_19 [500] registrados,58 [459] ministeriosalud,informe [273] #covid_19,julio [201] junio,10 [172] data,evidence Top Word Pairs in Tweet in G1:
[463] informe,diario [463] diario,#covid_19 [463] casos,nuevos [463] casos,activos [463] fallecidos,registrados [461] registrados,58 [455] ministeriosalud,informe [256] #covid_19,julio [193] junio,10 [149] nuevos,42 Top Word Pairs in Tweet in G2:
[170] data,evidence [170] evidence,piling [170] piling,making [170] making,very [170] very,sad [170] sad,things [170] things,each [170] each,stand [169] jesslovesmjk,data [169] stand,froâ Top Word Pairs in Tweet in G3:
[3] sars,cov Top Word Pairs in Tweet in G4:
[16] sars,cov [12] covid,19 [11] ç,æ [10] æ,ÿæÿ [9] ãƒ,æ [8] æ,ªã [8] scholars,portal [7] sars,ncov [7] ãƒ,ム[7] ãƒ,ペã Top Word Pairs in Tweet in G5:
[24] poichã,nessun [24] nessun,virus [24] virus,2019 [24] 2019,ncov [24] ncov,isolato [24] isolato,quantificato [24] quantificato,attualmente [24] attualmente,disponibile [24] disponibile,affermano [24] affermano,definitiva Top Word Pairs in Tweet in G6:
[37] informe,diario [37] diario,#covid_19 [37] casos,nuevos [37] casos,activos [37] fallecidos,registrados [37] registrados,58 [25] natho47,informe [17] #covid_19,julio [10] nuevos,42 [10] nuevos,40 Top Word Pairs in Tweet in G7:
[16] sars,cov [16] cov,529系統 [16] 529系統,オミクロン株 [16] オミクロン株,による院内クラスター対策と事例解析における発症日とct値および抗原定量値との関連 [16] による院内クラスター対策と事例解析における発症日とct値および抗原定量値との関連,山口県 [16] 山口県,発症日でも陰性になるケースや [15] carpe_diem0820,sars [15] 発症日でも陰性になるケースや,陽性であってもct値が高くウイルス量が少ないと考えられ Top Word Pairs in Tweet in G8:
[15] july,update [15] update,ba [15] ba,ontario [15] ontario,canada [15] canada,80 [15] 80,shortly [15] shortly,mentioned [15] mentioned,few [15] few,days [15] days,ago Top Word Pairs in Tweet in G9:
[5] cdcgov,paper [4] supply,role [4] role,modelling [4] mask,use [4] different,studies [3] collignonpeter,cdcgov [3] masks,work [3] work,individual [3] individual,population [3] population,level Top Word Pairs in Tweet in G10:
[7] sars,ncov [4] ihme_uw,profheidilarson [4] profheidilarson,nejm [3] margybargy,rem328 [3] rem328,efenigson [3] efenigson,worldisraelnews [2] healthywomble,margybargy Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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: