The graph represents a network of 8,362 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 15 December 2022 at 08:15 UTC.
The requested start date was Thursday, 15 December 2022 at 01:01 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 2-day, 0-hour, 12-minute period from Monday, 12 December 2022 at 12:05 UTC to Wednesday, 14 December 2022 at 12:17 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 : 8362
Unique Edges : 4089
Edges With Duplicates : 12789
Total Edges : 16878
Number of Edge Types : 5
Retweet : 5801
MentionsInRetweet : 6704
Tweet : 2321
Replies to : 494
Mentions : 1558
Self-Loops : 2377
Reciprocated Vertex Pair Ratio : 0.00293779537616554
Reciprocated Edge Ratio : 0.00585838003056546
Connected Components : 1924
Single-Vertex Connected Components : 793
Maximum Vertices in a Connected Component : 2284
Maximum Edges in a Connected Component : 4980
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.160257
Graph Density : 0.000112308313152308
Modularity : 0.504487
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,362 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 15 December 2022 at 08:15 UTC.
The requested start date was Thursday, 15 December 2022 at 01:01 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 2-day, 0-hour, 12-minute period from Monday, 12 December 2022 at 12:05 UTC to Wednesday, 14 December 2022 at 12:17 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 : COVID-19
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:
[6140] covid,19 [382] ประกาศเก,ยวก [378] 19,vaccine [369] uncovering,secret [369] following,#twitterfiles [369] secret,twitter [369] documents,uncovering [369] afl,obtained [369] twitter,portal [369] obtained,documents Top Word Pairs in Tweet in G1:
[724] covid,19 [117] 19特效药,需要的加电报 [117] 需要的加电报,nba123444 [117] #辉瑞新冠疫苗,#paxlovid [117] #新冠口服药,covid [117] covid,19特效药 [117] #辉瑞,#印度仿制药 [117] #印度仿制药,#辉瑞新冠疫苗 [117] #连花清温,#新冠口服药 [117] #paxlovid,#抗原 Top Word Pairs in Tweet in G2:
[1194] covid,19 [231] enfermedad,causada [231] deteriora,nuestro [231] nuestro,sistema [231] virus,deteriora [231] saber,covid [231] #entérate,importante [231] 19,enfermedad [231] importante,saber [231] causada,virus Top Word Pairs in Tweet in G3:
[360] breaking,following [360] afl,obtained [360] obtained,documents [360] following,#twitterfiles [360] uncovering,secret [360] documents,uncovering [360] #twitterfiles,afl [360] secret,twitter [360] twitter,portal [359] america1stlegal,breaking Top Word Pairs in Tweet in G4:
[89] covid,19 [53] uncovered,twitter [53] proof,big [53] blacklisting,drjbhattacharya [53] twitter,files [53] big,tech [53] twitter,blacklisting [53] files,proof [53] drjbhattacharya,uncovered [52] tech,th Top Word Pairs in Tweet in G5:
[424] covid,19 [212] 19,test [212] ภการ,จ [212] result,covid [212] ของ,ป [212] ก,ล [212] ยวก,บผลการตรวจ [212] ศ,ภการ [212] ล,announcement [212] 19,ของ Top Word Pairs in Tweet in G6:
[5] covid,19 [2] tech,bros [2] pseudoskepticism,overtakes [2] crypto,tech [2] damages,heart [2] bros,using [2] example,elon [2] heart,sad [2] illustrations,pseudoskepticism [2] sad,true Top Word Pairs in Tweet in G7:
[153] covid,19 [136] millions,people [135] need,nuremberg [135] jail,time [135] entire,covid [135] 19,mafia [135] people,need [135] time,one [135] much,jail [135] one,killing Top Word Pairs in Tweet in G8:
[48] covid,19 [19] covid,mrna [19] mrna,vaccines [18] vaccines,andrew [18] mp,delivered [18] needs,immediate [18] suspension,covid [18] complete,suspension [18] immediate,complete [18] bridgen,mp Top Word Pairs in Tweet in G9:
[170] ประกาศเก,ยวก [165] covid,19 [163] ยวก,บผลตรวจ [163] บผลตรวจ,covid [160] bnk48official,ประกาศเก [136] 19,ของ [82] มรภ,ส [82] ผด,งว [82] พ,มรภ [82] โมบายล,พ Top Word Pairs in Tweet in G10:
[114] covid,19 [88] put,inside [88] blood,react [88] body,well [88] imagine,being [88] see,blood [88] vaccine,before [88] inside,body [88] react,covid [88] being,see Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: