The graph represents a network of 624 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, 09 September 2022 at 10:14 UTC.
The requested start date was Friday, 09 September 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, 24-minute period from Friday, 26 August 2022 at 02:06 UTC to Thursday, 08 September 2022 at 12:31 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 : 624
Unique Edges : 290
Edges With Duplicates : 1312
Total Edges : 1602
Number of Edge Types : 5
Tweet : 81
Retweet : 623
MentionsInRetweet : 639
Replies to : 81
Mentions : 178
Self-Loops : 86
Reciprocated Vertex Pair Ratio : 0.00189393939393939
Reciprocated Edge Ratio : 0.00378071833648393
Connected Components : 110
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 190
Maximum Edges in a Connected Component : 1085
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.155857
Graph Density : 0.00136076470346133
Modularity : 0.331969
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 624 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, 09 September 2022 at 10:14 UTC.
The requested start date was Friday, 09 September 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, 24-minute period from Friday, 26 August 2022 at 02:06 UTC to Thursday, 08 September 2022 at 12:31 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:
[549] informe,diario [549] diario,#covid_19 [549] casos,nuevos [549] casos,activos [549] fallecidos,registrados [526] ministeriosalud,informe [315] #covid_19,septiembre [185] activos,fallecidos [138] nuevos,24 [110] activos,29 Top Word Pairs in Tweet in G1:
[534] informe,diario [534] diario,#covid_19 [534] casos,nuevos [534] casos,activos [534] fallecidos,registrados [524] ministeriosalud,informe [306] #covid_19,septiembre [184] activos,fallecidos [130] nuevos,24 [110] activos,29 Top Word Pairs in Tweet in G2:
[25] sars,cov [13] sars,ncov [10] covid,19 [8] scholars,portal [6] paper,published [6] published,2017 [6] 2017,provides [6] provides,compelling [6] compelling,evidence [6] evidence,sars Top Word Pairs in Tweet in G3:
[34] 国立感染研より,感染 [34] 感染,伝播性の増加や抗原性の変化が懸念される [34] 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 [34] 新型コロナウイルス,sars [34] sars,cov [34] cov,の変異株について [34] の変異株について,第20報 [34] 第20報,米国で増加傾向にあり [34] 米国で増加傾向にあり,日本でも検出されているba [33] sukunabikona7,国立感染研より Top Word Pairs in Tweet in G5:
[2] hatoyamayukio,ozawa_jimusho [2] ozawa_jimusho,tassotakuya [2] tassotakuya,akisumitomo [2] akisumitomo,ichikazeroka [2] ichikazeroka,shiikazuo [2] shiikazuo,cdp2017 [2] cdp2017,edanoyukio0531 [2] edanoyukio0531,dpfpnews Top Word Pairs in Tweet in G6:
[14] summary,cdc [14] cdc,documents [14] documents,studies [14] studies,more [13] dgurdasani1,summary [4] cultures,#sarscov2 [4] #sarscov2,handled [4] handled,#biosafety [4] #biosafety,level [4] level,#bsl Top Word Pairs in Tweet in G7:
[2] sars,cov Top Word Pairs in Tweet in G9:
[2] elizavetaka,try [2] cdc,summarizes [2] masks,work [2] read,more Top Word Pairs in Tweet in G10:
[6] sars,ncov [2] ncov,olympic [2] olympic,sports [2] sports,team [2] team,conquered [2] conquered,world [2] world,took [2] took,home [2] home,championship [2] championship,last Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: