The graph represents a network of 1,145 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 Friday, 08 July 2022 at 10:14 UTC.
The requested start date was Friday, 08 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 13-day, 10-hour, 37-minute period from Friday, 24 June 2022 at 00:34 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 : 1145
Unique Edges : 411
Edges With Duplicates : 2357
Total Edges : 2768
Number of Edge Types : 5
Retweet : 1130
MentionsInRetweet : 1157
Replies to : 110
Mentions : 274
Tweet : 97
Self-Loops : 105
Reciprocated Vertex Pair Ratio : 0.00189753320683112
Reciprocated Edge Ratio : 0.00378787878787879
Connected Components : 129
Single-Vertex Connected Components : 40
Maximum Vertices in a Connected Component : 350
Maximum Edges in a Connected Component : 1609
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.281371
Graph Density : 0.000806180718844474
Modularity : 0.370545
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,145 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 Friday, 08 July 2022 at 10:14 UTC.
The requested start date was Friday, 08 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 13-day, 10-hour, 37-minute period from Friday, 24 June 2022 at 00:34 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:
[816] informe,diario [816] casos,nuevos [816] casos,activos [816] fallecidos,registrados [816] registrados,58 [815] diario,#covid_19 [762] ministeriosalud,informe [378] #covid_19,julio [300] junio,10 [221] nuevos,40 Top Word Pairs in Tweet in G1:
[766] informe,diario [766] casos,nuevos [766] casos,activos [766] fallecidos,registrados [766] registrados,58 [765] diario,#covid_19 [754] ministeriosalud,informe [360] #covid_19,julio [289] junio,10 [205] nuevos,40 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:
[24] sars,cov [13] covid,19 [8] scholars,portal [6] sars,ncov [6] 2019,ncov [6] 2022,06 [5] chadox1,ncov [5] ncov,19 [5] molecular,mimicry [5] mimicry,sars 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:
[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 G8:
[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 G9:
[50] informe,diario [50] diario,#covid_19 [50] casos,nuevos [50] casos,activos [50] fallecidos,registrados [50] registrados,58 [31] natho47,informe [18] #covid_19,julio [16] nuevos,40 [12] activos,39 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: