The graph represents a network of 1,435 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 Sunday, 26 September 2021 at 09:58 UTC.
The requested start date was Sunday, 26 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 12-day, 11-hour, 10-minute period from Sunday, 12 September 2021 at 00:05 UTC to Friday, 24 September 2021 at 11:15 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 : 1435
Unique Edges : 1030
Edges With Duplicates : 1268
Total Edges : 2298
Number of Edge Types : 5
Replies to : 272
Mentions : 1048
Tweet : 155
Retweet : 317
MentionsInRetweet : 506
Self-Loops : 205
Reciprocated Vertex Pair Ratio : 0.00592153960029608
Reciprocated Edge Ratio : 0.0117733627667403
Connected Components : 275
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 151
Maximum Edges in a Connected Component : 548
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.021712
Graph Density : 0.000660417243742073
Modularity : 0.594975
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,435 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 Sunday, 26 September 2021 at 09:58 UTC.
The requested start date was Sunday, 26 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 12-day, 11-hour, 10-minute period from Sunday, 12 September 2021 at 00:05 UTC to Friday, 24 September 2021 at 11:15 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:
[357] sars,cov [72] covid,19 [52] 2019,ncov [48] #covid19,#covid [45] #corona,#coronavirus [44] fully,vaccinated [42] sars,ncov [41] cov,の新規変異株について [39] 感染,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 [39] 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,sars Top Word Pairs in Tweet in G1:
[3] bodogbrown,tony__heller [3] tony__heller,ncdave4life [3] ncdave4life,chickaboy [3] chickaboy,dcgreenzone1 [3] dcgreenzone1,skepticalmutant [3] skepticalmutant,ajl037 [3] ajl037,geoffschuler [3] geoffschuler,crabb_vicki [2] doritmi,bodogbrown [2] crabb_vicki,richykirs Top Word Pairs in Tweet in G2:
[30] sars,cov [18] centres,disease [18] disease,control [18] control,prevention [14] prevention,14th [14] 14th,sept [14] sept,2021 [14] 2021,children [14] children,transmit [14] transmit,virus Top Word Pairs in Tweet in G3:
[7] temple_surly,nyob7714 [7] nyob7714,bat92799926 [7] bat92799926,themarcam [7] tampa_egret,fredwibblington [7] poopsie31,hypnosexotica [7] hypnosexotica,veritasmarcus [7] veritasmarcus,takethatcdc [7] takethatcdc,biovisionary [7] dekkplans,jamesgordon4th [7] jamesgordon4th,dontmes70957787 Top Word Pairs in Tweet in G4:
[3] automatrix66_kc,jaisans [3] jaisans,brknman [3] brknman,odyssey_bow [3] asymptomatic,cases [3] sars,cov [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:
[49] sars,cov [36] covid,19 [28] scholars,portal [24] drml350phd,interesting [17] delta,variant [16] chadox1,ncov [16] ncov,19 [14] 21,2021 [14] 2021,09 [14] articles,covid Top Word Pairs in Tweet in G6:
[43] sars,cov [39] 感染,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 [39] 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,sars [39] cov,の新規変異株について [39] の新規変異株について,第10報 [29] 強いて言えばay,4とay [29] 4とay,1が入れ替わる可能性のある勢力を持っている [29] 1が入れ替わる可能性のある勢力を持っている,感染 [28] bb45_colorado,強いて言えばay [13] integer89,psychedelicname Top Word Pairs in Tweet in G7:
[10] outbreak,sars [10] sars,ncov [10] shandong,2005 [9] 2022,outbreak [9] ncov,shandong [8] alert,reaches [8] reaches,taiwan_cdc [8] taiwan_cdc,sago [7] hear,anyone [7] anyone,claim Top Word Pairs in Tweet in G8:
[24] sars,cov [19] cnn,electron [19] electron,microscope [19] microscope,image [19] image,sars [19] cov,round [19] round,blue [19] blue,objects [19] objects,emerging [19] emerging,surface Top Word Pairs in Tweet in G9:
[28] dla,przypomnienia [28] przypomnienia,ewolucja [28] ewolucja,wariantów [28] wariantów,sars [28] sars,cov [28] cov,kolory [28] kolory,powiązana [28] powiązana,całkowitą [28] całkowitą,liczbą [28] liczbą,szczepień Top Word Pairs in Tweet in G10:
[6] 456trainmama,govkathyhochul [2] matthewloop,456trainmama [2] govkathyhochul,bio [2] bio,addition [2] addition,gleeful [2] gleeful,spreader [2] spreader,disinformation [2] disinformation,putting [2] votemaga2020,tracylovessean [2] tracylovessean,peachofababy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: