The graph represents a network of 1,570 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, 07 August 2020 at 09:36 UTC.
The requested start date was Friday, 07 August 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, 10-hour, 44-minute period from Friday, 24 July 2020 at 01:25 UTC to Thursday, 06 August 2020 at 12:09 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 : 1570
Unique Edges : 794
Edges With Duplicates : 1708
Total Edges : 2502
Number of Edge Types : 5
Retweet : 728
MentionsInRetweet : 836
Tweet : 292
Mentions : 467
Replies to : 179
Self-Loops : 327
Reciprocated Vertex Pair Ratio : 0.0090978013646702
Reciprocated Edge Ratio : 0.0180315552216379
Connected Components : 363
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 327
Maximum Edges in a Connected Component : 701
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.285059
Graph Density : 0.000540325494351143
Modularity : 0.553038
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,570 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, 07 August 2020 at 09:36 UTC.
The requested start date was Friday, 07 August 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, 10-hour, 44-minute period from Friday, 24 July 2020 at 01:25 UTC to Thursday, 06 August 2020 at 12:09 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:
[834] sars,cov [479] ncov,19 [453] chadox1,ncov [380] 19,vaccine [342] against,sars [325] vaccine,against [292] clinical,trials [290] currently,undergoing [290] undergoing,human [290] human,clinical Top Word Pairs in Tweet in G1:
[318] ncov,19 [317] chadox1,ncov [305] sars,cov [294] against,sars [292] 19,vaccine [286] vaccine,against [286] currently,undergoing [286] undergoing,human [286] human,clinical [286] clinical,trials Top Word Pairs in Tweet in G2:
[133] sars,cov [66] ncov,19 [61] chadox1,ncov [48] 19,vaccine [31] 2019,ncov [27] against,sars [26] safety,immunogenicity [24] immunogenicity,chadox1 [24] vaccine,against [24] preliminary,report Top Word Pairs in Tweet in G3:
[2] sars,cov Top Word Pairs in Tweet in G4:
[33] sars,cov [16] 30,laboratorium [15] hcov,229e [15] 229e,hcov [15] hcov,oc43 [15] oc43,sars [15] hcov,nl63 [15] hku1,ncov [15] ncov,mers [15] mers,cov Top Word Pairs in Tweet in G5:
[12] sars,cov [8] covid,19 [6] nih,22 [6] 22,2005 [6] 2005,chloroquine [6] chloroquine,potent [6] potent,inhibitor [6] inhibitor,sars [6] sars,coronavirus [6] coronavirus,infection Top Word Pairs in Tweet in G6:
[16] sars,cov [8] great,news [8] news,mother [8] mother,baby [8] baby,dyads [8] dyads,cdcgov [8] cdcgov,need [8] need,separate [8] separate,regardless [8] regardless,whether Top Word Pairs in Tweet in G7:
[38] sars,cov [37] based,existing [37] existing,literature [37] literature,incubation [37] incubation,period [37] period,time [37] time,exposure [37] exposure,development [37] development,symptoms [37] symptoms,sars Top Word Pairs in Tweet in G8:
[29] いい加減争いの種になっているpcrの感度問題の決着を付けたいのだけれどsysmexの説明書に興味深いデータが載っていたので紹介する,現在日本で認可されているsars [29] 現在日本で認可されているsars,ncov [29] ncov,2の検査キットは感染研のパネルを使って陽性一致率陰性一致率が90 [28] uwemon,いい加減争いの種になっているpcrの感度問題の決着を付けたいのだけれどsysmexの説明書に興味深いデータが載っていたので紹介する [28] 2の検査キットは感染研のパネルを使って陽性一致率陰性一致率が90,以上のものが Top Word Pairs in Tweet in G9:
[3] hear,anyone [3] anyone,claim [3] claim,know [3] know,virus [3] virus,didn [3] didn,come [3] come,lab [3] lab,don [3] don,buy [3] buy,well Top Word Pairs in Tweet in G10:
[21] oxford's,chadox1 [21] chadox1,ncov [21] ncov,19 [21] 19,vaccine [21] vaccine,prevents [21] prevents,sars [21] sars,cov [21] cov,pneumonia [21] pneumonia,rhesus [21] rhesus,macaques Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: