The graph represents a network of 12,122 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 Friday, 07 January 2022 at 09:00 UTC.
The requested start date was Friday, 07 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 2-day, 0-hour, 0-minute period from Tuesday, 04 January 2022 at 12:18 UTC to Thursday, 06 January 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 : 12122
Unique Edges : 6763
Edges With Duplicates : 11486
Total Edges : 18249
Number of Edge Types : 5
Retweet : 5301
MentionsInRetweet : 6044
Replies to : 981
Tweet : 3798
Mentions : 2125
Self-Loops : 3828
Reciprocated Vertex Pair Ratio : 0.00281183218985491
Reciprocated Edge Ratio : 0.00560789591745177
Connected Components : 4041
Single-Vertex Connected Components : 1130
Maximum Vertices in a Connected Component : 877
Maximum Edges in a Connected Component : 1716
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 11.172954
Graph Density : 6.06816426909975E-05
Modularity : 0.578584
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,122 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 Friday, 07 January 2022 at 09:00 UTC.
The requested start date was Friday, 07 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 2-day, 0-hour, 0-minute period from Tuesday, 04 January 2022 at 12:18 UTC to Thursday, 06 January 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:
[1957] covid,19 [258] positive,covid [211] covid,cases [182] contra,covid [178] ค,ดด [150] tested,positive [113] casos,covid [112] due,covid [108] pep,guardiola [98] long,covid Top Word Pairs in Tweet in G1:
[220] covid,19 [31] positive,covid [15] positivo,covid [15] #mügeanlı,hakan [15] hakan,ural [15] ural,#kulüp [15] #kulüp,#covid [15] #covid,#yargı [15] #yargı,#kazakistan [15] #kazakistan,askeri Top Word Pairs in Tweet in G2:
[19] covid,19 [10] psa,covid [10] 19,isn [10] isn,cold [10] cold,isn [10] isn,respiratory [10] respiratory,virus [10] virus,mild [10] mild,doesn [10] doesn,mean Top Word Pairs in Tweet in G3:
[20] urgences,pédiatriques [20] pédiatriques,fermées [20] fermées,faute [20] faute,personnels [20] personnels,arrêts [20] arrêts,maladie [20] maladie,grèves [20] grèves,grippe [20] grippe,bronchiolites [20] bronchiolites,ce Top Word Pairs in Tweet in G4:
[15] omg,contact [15] contact,gp [15] gp,register [15] register,healthcare [15] healthcare,system [15] system,based [15] based,positive [15] positive,rat [14] docbayliss1,omg [9] lots,people Top Word Pairs in Tweet in G5:
[29] covid,19 [9] ल,क [7] क,ल [6] 19,cases [6] covid,cases [6] tested,positive [6] prime,minister [6] minister,india [6] india,pushing [6] pushing,thousands Top Word Pairs in Tweet in G6:
[178] ค,ดด [89] เราเร,ยกม [89] ยกม,นว [89] นว,า [89] า,covid [89] covid,19 [89] 19,เพราะม [89] เพราะม,นเก [89] นเก,ดในป [89] ดในป,2019 Top Word Pairs in Tweet in G7:
[6] supprimer,passes [5] macron,#nonvaccinés [5] non,vaccinés [5] #passevaccinal,#directan [5] c'est,qu'il [5] qu'il,faut [5] faut,protéger [5] protéger,l'hôpital [5] l'hôpital,déclare [5] déclare,francois_ruffin Top Word Pairs in Tweet in G8:
[88] covid,19 [63] contra,covid [24] refuerzo,contra [21] vacunación,refuerzo [14] jornada,vacunación [11] 19,venezuela [10] invitamos,vacunarte [10] vacunarte,contra [10] 19,mantener [10] mantener,normas Top Word Pairs in Tweet in G9:
[41] double,vaccinated [41] vaccinated,boosted [41] boosted,4th [41] 4th,vaccination [41] vaccination,despite [41] despite,covid [41] covid,cases [41] cases,#israel [41] #israel,reach [41] reach,record Top Word Pairs in Tweet in G10:
[9] ivermectin,covid [8] results,world [8] world,largest [8] largest,study [8] study,ivermectin [8] covid,posted [8] posted,meticulously [8] meticulously,collected [8] collected,data [7] fucking,put Top Replied-To in Entire Graph:
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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: