The graph represents a network of 706 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, 02 September 2022 at 10:14 UTC.
The requested start date was Friday, 02 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, 8-hour, 17-minute period from Friday, 19 August 2022 at 02:03 UTC to Thursday, 01 September 2022 at 10:21 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 : 706
Unique Edges : 285
Edges With Duplicates : 1795
Total Edges : 2080
Number of Edge Types : 5
Tweet : 57
Retweet : 868
MentionsInRetweet : 874
Replies to : 95
Mentions : 186
Self-Loops : 66
Reciprocated Vertex Pair Ratio : 0.00323624595469256
Reciprocated Edge Ratio : 0.00645161290322581
Connected Components : 103
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 295
Maximum Edges in a Connected Component : 1609
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.041612
Graph Density : 0.00124565527494827
Modularity : 0.28599
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 706 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, 02 September 2022 at 10:14 UTC.
The requested start date was Friday, 02 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, 8-hour, 17-minute period from Friday, 19 August 2022 at 02:03 UTC to Thursday, 01 September 2022 at 10:21 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:
[808] informe,diario [808] diario,#covid_19 [808] casos,nuevos [808] casos,activos [808] fallecidos,registrados [792] ministeriosalud,informe [221] nuevos,37 [163] nuevos,33 [155] registrados,60 [153] #covid_19,19 Top Word Pairs in Tweet in G1:
[800] informe,diario [800] diario,#covid_19 [800] casos,nuevos [800] casos,activos [800] fallecidos,registrados [789] ministeriosalud,informe [219] nuevos,37 [162] nuevos,33 [152] #covid_19,19 [152] 19,agosto Top Word Pairs in Tweet in G2:
[3] saskiaveluwe,molbiochemist [3] molbiochemist,meestereddy [3] meestereddy,dalila75202346 [3] sars,cov [2] hetismijmike,food4ears [2] food4ears,luketheduke1960 [2] luketheduke1960,saskiaveluwe [2] cdc,2019 [2] 2019,novel [2] novel,coronavirus Top Word Pairs in Tweet in G3:
[27] sars,cov [12] 2019,ncov [11] covid,19 [8] chadox1,ncov [8] ncov,19 [8] 2022,08 [8] scholars,portal [6] drml350phd,interesting [5] cyanophase,tim5 [5] tim5,bacteria Top Word Pairs in Tweet in G4:
[14] summary,cdc [14] cdc,documents [14] documents,studies [14] studies,more [13] dgurdasani1,summary [3] family,including [3] including,sars [3] sars,mers [3] mers,2019 [3] 2019,ncov Top Word Pairs in Tweet in G6:
[16] お兄ちゃん,新型コロナ診断のpcr法は特定の塩基配列のdnaを増やすの [16] 新型コロナ診断のpcr法は特定の塩基配列のdnaを増やすの,米cdcの新型コロナの塩基配列を他のウイルスや生物と比べてみたら [16] 米cdcの新型コロナの塩基配列を他のウイルスや生物と比べてみたら,風邪のコロナやsarsも含めて似ている配列はなかったの [16] 風邪のコロナやsarsも含めて似ている配列はなかったの,新型コロナ以外を検出することはないよ [15] demauyo_tadaimo,お兄ちゃん Top Word Pairs in Tweet in G7:
[2] elizavetaka,try [2] cdc,summarizes [2] masks,work [2] read,more Top Word Pairs in Tweet in G8:
[4] sars,ncov [2] huffpost,sars Top Word Pairs in Tweet in G9:
[2] stohr_klaus,welt [2] welt,große [2] große,studie [2] studie,cdc [2] cdc,die [2] die,sicher [2] sicher,kennen [2] kennen,scrollen [2] scrollen,runter [2] runter,gibts Top Word Pairs in Tweet in G10:
[2] 国立感染研の研究では無症状者であっても感染性のあるウイルスの排出は診断7日目までは見られている,有症状者に比べると少ないとは言え [2] 有症状者に比べると少ないとは言え,無視していい数字なのか [2] ba,japan [2] japan,multiple [2] multiple,nucleotide [2] nucleotide,reversions [2] reversions,root [2] root,including [2] including,t9i [2] t9i,t9t Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: