The graph represents a network of 1,750 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 Thursday, 16 September 2021 at 11:18 UTC.
The requested start date was Thursday, 16 September 2021 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, 11-hour, 38-minute period from Thursday, 02 September 2021 at 00:03 UTC to Wednesday, 15 September 2021 at 11:41 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 : 1750
Unique Edges : 1148
Edges With Duplicates : 1279
Total Edges : 2427
Number of Edge Types : 5
Retweet : 358
MentionsInRetweet : 479
Replies to : 353
Mentions : 1027
Tweet : 210
Self-Loops : 240
Reciprocated Vertex Pair Ratio : 0.00997340425531915
Reciprocated Edge Ratio : 0.0197498354180382
Connected Components : 373
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 151
Maximum Edges in a Connected Component : 398
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.895416
Graph Density : 0.000496283590623213
Modularity : 0.640103
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,750 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 Thursday, 16 September 2021 at 11:18 UTC.
The requested start date was Thursday, 16 September 2021 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, 11-hour, 38-minute period from Thursday, 02 September 2021 at 00:03 UTC to Wednesday, 15 September 2021 at 11:41 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:
[320] sars,cov [124] ncov,19 [104] covid,19 [102] chadox1,ncov [77] 2019,ncov [67] związek,między [67] między,szczepieniem [67] szczepieniem,chadox1 [67] 19,epizodami [67] epizodami,krwawienia Top Word Pairs in Tweet in G1:
[74] sars,cov [45] covid,19 [32] scholars,portal [24] 2019,ncov [18] chadox1,ncov [18] ncov,19 [18] drml350phd,interesting [17] ç,æ [16] 2021,09 [16] articles,covid Top Word Pairs in Tweet in G2:
[67] związek,między [67] między,szczepieniem [67] szczepieniem,chadox1 [67] chadox1,ncov [67] ncov,19 [67] 19,epizodami [67] epizodami,krwawienia [67] krwawienia,duże [67] duże,populacyjne [67] populacyjne,badanie Top Word Pairs in Tweet in G3:
[5] sars,cov [2] cov,test [2] one,cdc [2] pcr,tests [2] tests,sars [2] test,presence Top Word Pairs in Tweet in G4:
[4] sars,cov [3] automatrix66_kc,jaisans [3] jaisans,brknman [3] brknman,odyssey_bow [3] asymptomatic,cases [2] asinister,jr4_truth [2] jr4_truth,alphavccoms [2] alphavccoms,danielkuhn1975 [2] danielkuhn1975,colepram [2] colepram,automatrix66_kc Top Word Pairs in Tweet in G5:
[15] 2019,ncov [14] sars,cov2 [4] limpbizkit1465,butoveronique [4] butoveronique,kevinantitroll1 [4] kevinantitroll1,playthunderwolf [4] playthunderwolf,philippemayor1 [4] philippemayor1,baixmaryse [4] baixmaryse,christe17511452 [3] l'institut,pasteur [3] christe17511452,vlfmichael Top Word Pairs in Tweet in G6:
[4] nornenland,fynnderella1 [4] fynnderella1,cindita_26 [4] cindita_26,candice60896290 [4] candice60896290,colarchon [4] colarchon,fantasticmusic [4] fantasticmusic,ragusaecomites [4] ragusaecomites,bobkenny62 [3] revmikemenkes,nornenland [2] bobkenny62,ireland20â Top Word Pairs in Tweet in G7:
[7] thatsnotmine125,alex_on_a14 [5] pawley_robert,maureenstroud [5] maureenstroud,barryjohnreid21 [5] barryjohnreid21,browningneelyn [4] burgerlab12,bebert701 [4] bebert701,mdrisette [4] mdrisette,chrisjohnsonmd [4] chrisjohnsonmd,andylumm [4] andylumm,smashcarm [4] smashcarm,ginapro Top Word Pairs in Tweet in G8:
[31] mask,wearing [31] wearing,significant [31] significant,adverse [31] adverse,health [31] health,effects [31] effects,wearers [31] wearers,useful [31] useful,indoor [31] indoor,crowded [31] crowded,poorly Top Word Pairs in Tweet in G9:
[18] アストラゼネカワクチンchadox1,ncov [18] ncov,19 [18] 19,azd1222 [18] azd1222,はsars [18] はsars,cov [18] cov,2のspike [18] 2のspike,proteinをコードしたアデノウイルスベクターワクチンであり [18] proteinをコードしたアデノウイルスベクターワクチンであり,これまでに5億本以上が160か国以上で使用されている [17] influenzer3,アストラゼネカワクチンchadox1 [9] 空気感染,と書いてないから分からなかったのかも Top Word Pairs in Tweet in G10:
[2] science,brief [2] covid,19 [2] kprather88,cdc [2] cdc,junk [2] junk,need [2] need,change [2] change,current [2] current,prevention [2] prevention,methods [2] methods,true 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 G7:
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: