The graph represents a network of 11,571 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, 08 April 2022 at 07:52 UTC.
The requested start date was Friday, 08 April 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, 3-minute period from Tuesday, 05 April 2022 at 12:16 UTC to Thursday, 07 April 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 : 11571
Unique Edges : 6721
Edges With Duplicates : 11146
Total Edges : 17867
Number of Edge Types : 5
Retweet : 5068
MentionsInRetweet : 6001
Tweet : 3120
Replies to : 1219
Mentions : 2459
Self-Loops : 3156
Reciprocated Vertex Pair Ratio : 0.00564358584762318
Reciprocated Edge Ratio : 0.0112238290524498
Connected Components : 3420
Single-Vertex Connected Components : 1043
Maximum Vertices in a Connected Component : 1634
Maximum Edges in a Connected Component : 3585
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 10.596559
Graph Density : 6.92130588743489E-05
Modularity : 0.5879
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,571 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, 08 April 2022 at 07:52 UTC.
The requested start date was Friday, 08 April 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, 3-minute period from Tuesday, 05 April 2022 at 12:16 UTC to Thursday, 07 April 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:
[1769] covid,19 [207] long,covid [114] manuelrico,hoy [102] covid,vaccine [101] positive,covid [97] during,covid [97] 19,vaccine [88] parlement,allemand [88] obligation,vaccinale [87] aprobó,protocolo Top Word Pairs in Tweet in G1:
[302] covid,19 [32] 19,vaccine [19] aged,60 [18] during,covid [18] individuals,aged [18] doses,covid [18] non,indigenous [18] indigenous,household [18] household,members [18] members,aged Top Word Pairs in Tweet in G2:
[86] obligation,vaccinale [83] parlement,allemand [83] vaccinale,covid [76] excellente,nouvelle [76] nouvelle,parlement [76] allemand,vient [76] vient,voter [76] voter,contre [76] contre,obligation [76] covid,296 Top Word Pairs in Tweet in G3:
[23] people,sick [23] sick,covid [22] goal,make [22] make,sure [22] sure,enough [22] enough,hospital [22] hospital,beds [22] beds,people [22] covid,goal [22] goal,re Top Word Pairs in Tweet in G4:
[23] unbelievably,still [23] still,trying [23] trying,justify [23] justify,initial [23] initial,rip [23] rip,stance [23] stance,covid [23] covid,jury [23] jury,wrong [22] danielgoyal,unbelievably Top Word Pairs in Tweet in G5:
[20] covid,19 [17] positive,test [15] lft,compromise [15] compromise,someone [15] someone,registers [15] registers,positive [15] test,send [15] send,free [15] free,pack [15] pack,test Top Word Pairs in Tweet in G6:
[17] ve,kids [17] kids,primary [17] primary,school [17] school,younger [17] younger,suffering [17] suffering,2nd [17] 2nd,case [17] case,covid [17] covid,older [17] older,starting Top Word Pairs in Tweet in G7:
[19] covid,19 [11] imgrund,dfisman [11] dfisman,aspphysician [11] aspphysician,irfandhalla [11] irfandhalla,bogochisaac [11] bogochisaac,sharkawymd [9] covid,cases [8] travel,warning [8] great,job [7] let's,learn Top Word Pairs in Tweet in G8:
[17] covid,restrictions [14] government,issued [14] issued,covid [14] covid,contracts [14] contracts,incl [14] incl,serco [14] serco,contact [14] contact,tracing [14] tracing,212m [14] 212m,2024 Top Word Pairs in Tweet in G9:
[15] breaking,cdcgov [15] cdcgov,allow [15] allow,infectious [15] infectious,#covid19 [15] #covid19,cases [15] cases,fly [15] fly,stop [15] stop,such [15] such,reporting [15] reporting,effective Top Word Pairs in Tweet in G10:
[27] eh,mes [27] mes,chères [27] chères,collègues [27] collègues,suis [27] suis,seule [27] seule,m'interroger [27] m'interroger,l'inquiétante [27] l'inquiétante,augmentation [27] augmentation,décès [27] décès,par 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: