The graph represents a network of 8,448 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 October 2022 at 09:11 UTC.
The requested start date was Friday, 14 October 2022 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 2-day, 1-hour, 22-minute period from Tuesday, 11 October 2022 at 11:03 UTC to Thursday, 13 October 2022 at 12:25 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 : 8448
Unique Edges : 4423
Edges With Duplicates : 11408
Total Edges : 15831
Number of Edge Types : 5
Retweet : 5070
MentionsInRetweet : 6061
Tweet : 2126
Mentions : 1692
Replies to : 882
Self-Loops : 2215
Reciprocated Vertex Pair Ratio : 0.00530263838592861
Reciprocated Edge Ratio : 0.0105493374501479
Connected Components : 1920
Single-Vertex Connected Components : 867
Maximum Vertices in a Connected Component : 2144
Maximum Edges in a Connected Component : 5196
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 9.507537
Graph Density : 0.000108926178740166
Modularity : 0.531303
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 8,448 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 October 2022 at 09:11 UTC.
The requested start date was Friday, 14 October 2022 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 2-day, 1-hour, 22-minute period from Tuesday, 11 October 2022 at 11:03 UTC to Thursday, 13 October 2022 at 12:25 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 : Coronavirus
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:
[602] covid,19 [430] centro,inmunización [430] lugar,trabajo [430] inmunización,cercano [430] acude,centro [430] #prevención,acude [425] domicilio,lugar [425] ponte,vacuna [425] trabajo,ponte [425] cercano,domicilio Top Word Pairs in Tweet in G1:
[136] covid,19 [36] #coronavirus,#covid19 [34] long,covid [25] 24,hours [24] last,24 [24] live,updates [24] deaths,last [24] coronavirus,live [23] cases,deaths [23] coronavirus,cases Top Word Pairs in Tweet in G2:
[371] pfizer,eu [371] parlament,stoff [371] war,aufgrund [371] eu,parlament [371] coronavirus,schütze [371] gestern,gab [371] ausbreitung,coronavirus [371] gab,pfizer [371] stoff,ausbreitung [371] schütze,war Top Word Pairs in Tweet in G3:
[424] acude,centro [424] #prevención,acude [424] centro,inmunización [424] lugar,trabajo [424] inmunización,cercano [419] cercano,domicilio [419] trabajo,ponte [419] domicilio,lugar [419] ponte,vacuna [406] vtvcanal8,#prevención Top Word Pairs in Tweet in G4:
[141] attjekuiken,wat [141] registraties,afpakken [141] onbeschaamdheid,wilde [141] wat,onbeschaamdheid [141] zelfs,big [141] afpakken,artsen [141] artsen,die [141] wilde,zelfs [141] big,registraties [141] kritisch,waren Top Word Pairs in Tweet in G5:
[179] mise,marché [174] conversion,l'autorisation [173] l'autorisation,mise [162] commission,européenne [139] marché,conditionnelle [92] vient,autoriser [92] européenne,vient [92] autoriser,conversion [91] corinnereverbel,commission [83] autorisé,conversion Top Word Pairs in Tweet in G6:
[25] sara,kayat [22] kayat,one [22] spread,misleading [22] investigating,dr [22] leilanidowding,ofcom [22] ofcom,investigating [22] one,spread [22] misleading,harmful [22] ofcom,ofcom [22] dr,sara Top Word Pairs in Tweet in G7:
[45] leggi,più [42] più,#casaitaliaradio [40] #casaitaliaradio,#webradio [38] #webradio,#radio [37] #politicaitaliana,#coronavirus [37] #arredamento,#governo [37] #home,#design [37] #economia,#arredamento [37] #covid,#news [37] #politica,#interiordesign Top Word Pairs in Tweet in G8:
[117] julio_ariza_tv,florida [117] vacunación,coronavirus [117] florida,reconozca [117] corazón,vacunación [117] relación,muertes [117] reconozca,relación [117] muertes,corazón [116] eltorotv,julio_ariza_tv [31] inflación,fruto [31] dinero,trabajar Top Word Pairs in Tweet in G9:
[128] bb45_colorado,ssn788_colorado [35] angama_market,ドイツでのコロナウイルス感染者のicu入院数がすでに今年最悪の水準に近づいているようだが [25] 12が6,21に対応する可能性がある [25] 21に対応する可能性がある,10 [25] 連休明け効果が期待される為に現時点ではまだ判定不能であるが,10 [25] ssn788_colorado,統計のとり方が大きく変わっていることと [25] 統計のとり方が大きく変わっていることと,連休明け効果が期待される為に現時点ではまだ判定不能であるが [25] 10,12が6 [25] 12より指標としている大阪府と東京都,北海道 [25] 10,12より指標としている大阪府と東京都 Top Word Pairs in Tweet in G10:
[33] toe,daarom [33] daarom,extra [33] belangrijk,aan [33] ben,aan [33] basisadviezen,houden [33] coronabesmettingen,nemen [33] extra,belangrijk [33] houden,ben [33] aan,basisadviezen [33] nemen,weer Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: