The graph represents a network of 1,094 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 Saturday, 09 July 2022 at 11:29 UTC.
The requested start date was Saturday, 09 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 12-day, 10-hour, 32-minute period from Saturday, 25 June 2022 at 00:39 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 : 1094
Unique Edges : 397
Edges With Duplicates : 2126
Total Edges : 2523
Number of Edge Types : 5
Retweet : 1016
MentionsInRetweet : 1041
Replies to : 106
Mentions : 270
Tweet : 90
Self-Loops : 98
Reciprocated Vertex Pair Ratio : 0.000992063492063492
Reciprocated Edge Ratio : 0.00198216055500496
Connected Components : 122
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 325
Maximum Edges in a Connected Component : 1404
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.287802
Graph Density : 0.000843827514631083
Modularity : 0.387777
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,094 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 Saturday, 09 July 2022 at 11:29 UTC.
The requested start date was Saturday, 09 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 12-day, 10-hour, 32-minute period from Saturday, 25 June 2022 at 00:39 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:
[712] informe,diario [712] casos,nuevos [712] casos,activos [712] fallecidos,registrados [712] registrados,58 [711] diario,#covid_19 [663] ministeriosalud,informe [378] #covid_19,julio [221] nuevos,40 [206] junio,10 Top Word Pairs in Tweet in G1:
[668] informe,diario [668] casos,nuevos [668] casos,activos [668] fallecidos,registrados [668] registrados,58 [667] diario,#covid_19 [657] ministeriosalud,informe [360] #covid_19,julio [205] nuevos,40 [198] junio,10 Top Word Pairs in Tweet in G2:
[169] data,evidence [169] evidence,piling [169] piling,making [169] making,very [169] very,sad [169] sad,things [169] things,each [169] each,stand [168] jesslovesmjk,data [168] stand,fro Top Word Pairs in Tweet in G3:
[3] sars,cov Top Word Pairs in Tweet in G4:
[4] theoretical,reasons [4] reasons,concern [4] concern,auto [4] auto,immune [4] immune,disease [4] disease,arising [4] arising,gene [4] gene,therapy [4] therapy,shots [4] shots,more Top Word Pairs in Tweet in G5:
[23] sars,cov [13] covid,19 [8] scholars,portal [7] 2019,ncov [6] sars,ncov [6] 2022,06 [5] 感染,伝播性の増加や抗原性の変化が懸念される [5] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [5] 新型コロナウイルス,sars [5] cov,の変異株について Top Word Pairs in Tweet in G6:
[36] sars,cov [20] 感染,伝播性の増加や抗原性の変化が懸念される [20] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [20] 新型コロナウイルス,sars [20] cov,の変異株について [20] の変異株について,第18報 [20] 第18報,2022年7月1日 [20] 2022年7月1日,国立感染症研究所 [19] earl_covid19_tw,感染 [16] cov,529系統 Top Word Pairs in Tweet in G7:
[24] poiché,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 G8:
[44] informe,diario [44] diario,#covid_19 [44] casos,nuevos [44] casos,activos [44] fallecidos,registrados [44] registrados,58 [29] natho47,informe [18] #covid_19,julio [16] nuevos,40 [10] nuevos,42 Top Word Pairs in Tweet in G9:
[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 G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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: