The graph represents a network of 5,331 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 13 October 2020 at 11:37 UTC.
The requested start date was Tuesday, 13 October 2020 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, 23-hour, 50-minute period from Tuesday, 29 September 2020 at 00:06 UTC to Monday, 12 October 2020 at 23:57 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 : 5331
Unique Edges : 3169
Edges With Duplicates : 5749
Total Edges : 8918
Number of Edge Types : 5
Replies to : 859
Mentions : 1414
Retweet : 2636
MentionsInRetweet : 3445
Tweet : 564
Self-Loops : 589
Reciprocated Vertex Pair Ratio : 0.00903892270798746
Reciprocated Edge Ratio : 0.0179159049360146
Connected Components : 876
Single-Vertex Connected Components : 274
Maximum Vertices in a Connected Component : 856
Maximum Edges in a Connected Component : 1826
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.612623
Graph Density : 0.000192509175860124
Modularity : 0.61349
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,331 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 13 October 2020 at 11:37 UTC.
The requested start date was Tuesday, 13 October 2020 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, 23-hour, 50-minute period from Tuesday, 29 September 2020 at 00:06 UTC to Monday, 12 October 2020 at 23:57 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-COV
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:
[3328] sars,cov [449] boegob,publicado [449] publicado,decreto [449] decreto,900 [449] 900,2020 [449] 2020,octubre [449] octubre,declara [449] declara,estado [449] estado,alarma [447] salvadorilla,boegob Top Word Pairs in Tweet in G1:
[446] boegob,publicado [446] publicado,decreto [446] decreto,900 [446] 900,2020 [446] 2020,octubre [446] octubre,declara [446] declara,estado [446] estado,alarma [444] salvadorilla,boegob [441] alarma,respondâ Top Word Pairs in Tweet in G2:
[305] sars,cov [305] cov,deseo [305] deseo,pronta [303] trump,positivo [303] positivo,covid19 [303] covid19,tome [303] tome,medidas [303] medidas,sanitarias [303] sanitarias,correspondientes [303] correspondientes,sars Top Word Pairs in Tweet in G3:
[392] sars,cov [54] î,î [46] covid,19 [37] mers,cov [33] cov,sars [19] cov,mers [17] coronavirus,sars [14] respiratory,syndrome [12] cov,virus [11] patients,infected Top Word Pairs in Tweet in G4:
[199] sars,cov [48] coronavirus,sars [36] nitric,oxide [30] cov,virus [29] oxide,inhibits [28] inhibits,prevents [28] prevents,replication [28] replication,cycle [28] 2003,sars [24] cycle,severe Top Word Pairs in Tweet in G5:
[156] fourth,version [156] version,review [156] review,includes [156] includes,29 [156] 29,studies [156] studies,reporting [156] reporting,culturing [155] carlheneghan,fourth [61] sars,cov [44] cov,2003 Top Word Pairs in Tweet in G6:
[195] medicine,sars [195] sars,threatens [195] threatens,patients [195] patients,life [195] life,cases [195] cases,sars [195] sars,due [195] due,different [195] different,strains [195] strains,corona Top Word Pairs in Tweet in G7:
[373] sars,cov [184] antibodies,serum [184] serum,samples [184] samples,patients [184] patients,infected [184] infected,during [184] during,2003 [184] 2003,sars [184] cov,outbreak [184] outbreak,effectively Top Word Pairs in Tweet in G8:
[114] pcr,test [79] sars,cov [64] specificiteit,pcr [64] test,wordt [64] wordt,nog [64] nog,ten [64] ten,zeerste [64] zeerste,betwijfeld [64] betwijfeld,welke [64] welke,primers Top Word Pairs in Tweet in G9:
[114] sars,cov [14] spike,protein [12] cross,infection [12] infection,studies [12] studies,wiv [10] human,passage [9] cov,sars [8] deanparise,juliehouseofwow [8] juliehouseofwow,dockaurg [7] covid,19 Top Word Pairs in Tweet in G10:
[106] attenzione,ho [106] ho,letto [106] letto,caso [106] bisogna,chiedere [106] chiedere,quale [106] quale,virus [106] virus,positivi [106] positivi,hcov [106] hcov,229e [106] 229e,hcov Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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: