The graph represents a network of 7,136 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 Saturday, 15 January 2022 at 11:43 UTC.
The requested start date was Saturday, 15 January 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 13-day, 11-hour, 14-minute period from Saturday, 01 January 2022 at 01:03 UTC to Friday, 14 January 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 : 7136
Unique Edges : 4413
Edges With Duplicates : 9410
Total Edges : 13823
Number of Edge Types : 5
Retweet : 3845
MentionsInRetweet : 5488
Replies to : 1004
Tweet : 600
Mentions : 2886
Self-Loops : 638
Reciprocated Vertex Pair Ratio : 0.00578532742491384
Reciprocated Edge Ratio : 0.0115040998653776
Connected Components : 989
Single-Vertex Connected Components : 270
Maximum Vertices in a Connected Component : 1545
Maximum Edges in a Connected Component : 4205
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.282884
Graph Density : 0.000160482023499392
Modularity : 0.572299
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,136 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 Saturday, 15 January 2022 at 11:43 UTC.
The requested start date was Saturday, 15 January 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 13-day, 11-hour, 14-minute period from Saturday, 01 January 2022 at 01:03 UTC to Friday, 14 January 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 : 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:
[4302] sars,cov [1044] tengo,pregunta [1044] pregunta,doctora [1043] antivaxer,tengo [1042] doctora,lximenezfyvie [1028] tasas,masivas [1028] masivas,infección [1027] poisonjadevine,antivaxer [1027] lximenezfyvie,tasas [1015] infección,reinfec Top Word Pairs in Tweet in G1:
[1040] tengo,pregunta [1040] pregunta,doctora [1039] antivaxer,tengo [1038] doctora,lximenezfyvie [1024] tasas,masivas [1024] masivas,infección [1023] poisonjadevine,antivaxer [1023] lximenezfyvie,tasas [1011] infección,reinfec [13] infección,reinfeccion Top Word Pairs in Tweet in G2:
[609] amusant,constater [609] constater,bcp [609] bcp,ceux [609] ceux,utilisent [609] utilisent,hashtag [609] hashtag,#emmerdonslesdesinformateurs [609] #emmerdonslesdesinformateurs,sont [609] sont,mêmes [609] mêmes,ont [609] ont,affirmé Top Word Pairs in Tweet in G3:
[1241] sars,cov [386] 新型コロナウイルス,sars [386] cov,とsarsコロナウイルス [386] とsarsコロナウイルス,sars [386] cov,とは基本的な遺伝構造は同じです [386] とは基本的な遺伝構造は同じです,コロナウイルスは様々なタンパク質を作るのが特徴なのですが [386] コロナウイルスは様々なタンパク質を作るのが特徴なのですが,sars [386] cov,2とsars [386] 2とsars,covはわずかに異ります [386] covはわずかに異ります,しかしどちらも Top Word Pairs in Tweet in G4:
[386] sars,cov [49] η,εξέλιξη [49] εξέλιξη,των [49] των,νέων [49] νέων,μολύνσεων [49] μολύνσεων,sars [49] cov,στις [46] 2022,πανελλαδικά [33] στις,2022 [31] πανελλαδικά,με Top Word Pairs in Tweet in G5:
[172] sars,cov [130] cov,oc43 [130] oc43,common [130] common,cold [130] cold,coronavirus [130] coronavirus,shows [130] shows,cross [130] cross,reactive [130] reactive,properties [130] properties,sars Top Word Pairs in Tweet in G6:
[177] sars,cov [73] antibodies,against [73] against,spike [73] spike,proteins [73] proteins,sars [73] cov,cause [73] cause,ade [73] data,raises [73] concern,regarding [73] regarding,use Top Word Pairs in Tweet in G7:
[50] sars,cov [19] michaelmacftl,tifaswindmill [19] tifaswindmill,truthgibbon [19] truthgibbon,crenwot [19] crenwot,grannyspaddle [19] grannyspaddle,jpizzle1385 [19] jpizzle1385,erockdouble1 [19] erockdouble1,tomdoubting [19] tomdoubting,friendofthurlow [19] friendofthurlow,antifarioter Top Word Pairs in Tweet in G8:
[9] sars,cov [6] cov,sars [5] thecrystalbrian,rtheatheist [5] rtheatheist,drjoemccarthy [5] drjoemccarthy,justplaying2win [5] justplaying2win,wjack76995 [5] wjack76995,pawley_robert [5] pawley_robert,andylumm [5] andylumm,sassygirld1 [5] sassygirld1,moy_barry Top Word Pairs in Tweet in G9:
[75] sars,cov [28] hiv,bj01 [22] judicialwatch,under [22] under,r01 [22] r01,awarded [22] awarded,2014 [22] 2014,discovered [22] discovered,gt [22] gt,50 [22] 50,bat Top Word Pairs in Tweet in G10:
[30] sars,cov [24] aprile,2018 [24] 2018,ralph [24] ralph,baric [24] baric,spiega [24] spiega,come [24] come,come [24] come,progettò [24] progettò,shi [24] shi,zhengli 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: