The graph represents a network of 10,837 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 24 August 2022 at 07:45 UTC.
The requested start date was Wednesday, 24 August 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, 0-hour, 5-minute period from Sunday, 21 August 2022 at 12:14 UTC to Tuesday, 23 August 2022 at 12:19 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 : 10837
Unique Edges : 6505
Edges With Duplicates : 12959
Total Edges : 19464
Number of Edge Types : 5
Retweet : 5455
MentionsInRetweet : 7063
Replies to : 1385
Mentions : 3109
Tweet : 2452
Self-Loops : 2505
Reciprocated Vertex Pair Ratio : 0.00765456329735034
Reciprocated Edge Ratio : 0.0151928320997273
Connected Components : 2587
Single-Vertex Connected Components : 673
Maximum Vertices in a Connected Component : 2207
Maximum Edges in a Connected Component : 4597
Maximum Geodesic Distance (Diameter) : 37
Average Geodesic Distance : 12.33917
Graph Density : 8.74395251110681E-05
Modularity : 0.566977
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,837 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 24 August 2022 at 07:45 UTC.
The requested start date was Wednesday, 24 August 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, 0-hour, 5-minute period from Sunday, 21 August 2022 at 12:14 UTC to Tuesday, 23 August 2022 at 12:19 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
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:
[1731] covid,19 [332] covid,juego [266] #refuerzatuvacuna,covid [257] etiqueta,día [249] #22ago,etiqueta [222] día,#refuerzatuvacuna [220] manuelrico,hoy [183] long,covid [171] días,gobierno [171] gobierno,ayuso Top Word Pairs in Tweet in G1:
[196] covid,19 [22] leggi,più [22] più,#casaitaliaradio [22] #casaitaliaradio,#webradio [22] #webradio,#radio [22] #radio,#casa [22] #casa,#home [22] #home,#design [22] #design,#politica [22] #politica,#interiordesign Top Word Pairs in Tweet in G2:
[322] covid,juego [268] covid,19 [256] #refuerzatuvacuna,covid [250] etiqueta,día [242] #22ago,etiqueta [215] día,#refuerzatuvacuna [97] contra,covid [94] mippcivzla,#22ago [91] bajar,guardia [90] podemos,bajar Top Word Pairs in Tweet in G3:
[220] manuelrico,hoy [171] días,gobierno [171] gobierno,ayuso [171] ayuso,aprobó [171] aprobó,protocolo [171] protocolo,impedía [170] impedía,trasladar [170] trasladar,hospital [170] hospital,residentes [162] residentes,vulnerab Top Word Pairs in Tweet in G4:
[32] covid,19 [14] twitter,slapped [14] slapped,misleading [14] misleading,label [14] label,prevents [14] prevents,sharing [14] sharing,expert [14] expert,report [14] report,dr [14] dr,steven Top Word Pairs in Tweet in G5:
[143] felt,day [143] day,weird [143] weird,time [143] time,isn [143] isn,go [143] go,yeah [143] yeah,fucking [143] fucking,insane [143] insane,harry [143] harry,speaking Top Word Pairs in Tweet in G6:
[23] covid,restrictions [23] restrictions,2021 [23] 2021,australian [23] australian,farmer [23] farmer,ben [23] ben,jackson [23] jackson,couldn [23] couldn,attend [23] attend,aunt [23] aunt,funeral Top Word Pairs in Tweet in G7:
[33] milliers,médecins [33] médecins,nuremberg [33] nuremberg,exiger [33] exiger,respect [33] respect,code [33] code,nuremberg [33] nuremberg,exige [33] exige,personnes [33] personnes,consentent [19] covid,19 Top Word Pairs in Tweet in G8:
[60] still,over [60] over,kept [60] kept,calling [60] calling,joe [60] joe,biden [60] biden,sleepy [60] sleepy,already [60] already,gotten [60] gotten,ton [60] ton,more Top Word Pairs in Tweet in G9:
[82] health,officials [82] officials,literally [82] literally,came [82] came,during [82] during,pandemic [82] pandemic,pointed [82] pointed,lost [82] lost,sense [82] sense,smell [82] smell,taste Top Word Pairs in Tweet in G10:
[35] après,avoir [32] vaccins,covid [29] avoir,témoigné [29] témoigné,sénat [29] sénat,effets [29] effets,vaccins [29] covid,dr [29] dr,amine [29] amine,umlil [29] umlil,convoqué Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: