The graph represents a network of 12,315 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, 30 July 2021 at 08:01 UTC.
The requested start date was Friday, 30 July 2021 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 1-day, 23-hour, 58-minute period from Tuesday, 27 July 2021 at 12:21 UTC to Thursday, 29 July 2021 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 : 12315
Unique Edges : 6993
Edges With Duplicates : 11885
Total Edges : 18878
Number of Edge Types : 5
Retweet : 5410
MentionsInRetweet : 6266
Tweet : 3806
Mentions : 2432
Replies to : 964
Self-Loops : 3838
Reciprocated Vertex Pair Ratio : 0.00482521981556938
Reciprocated Edge Ratio : 0.00960409774837264
Connected Components : 3918
Single-Vertex Connected Components : 976
Maximum Vertices in a Connected Component : 433
Maximum Edges in a Connected Component : 913
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 7.537074
Graph Density : 6.17948628165256E-05
Modularity : 0.580286
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 12,315 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, 30 July 2021 at 08:01 UTC.
The requested start date was Friday, 30 July 2021 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 1-day, 23-hour, 58-minute period from Tuesday, 27 July 2021 at 12:21 UTC to Thursday, 29 July 2021 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:
[2628] covid,19 [207] covid,cases [181] positive,covid [168] contra,covid [146] covid,vaccine [145] 19,vaccine [127] tested,positive [124] fully,vaccinated [105] delta,variant [103] 19,cases Top Word Pairs in Tweet in G1:
[338] covid,19 [43] covid,weapons [42] junta,uses [42] uses,covid [34] contra,covid [27] weapons,#myanmarcovidsos [21] covid,vaccine [18] covid,cases [15] positive,covid [14] fully,vaccinated Top Word Pairs in Tweet in G2:
[43] covid,19 [11] covid,cases [10] ugandans,need [10] need,accountability [10] accountability,covid [10] #ugandaisbleeding,#accountability [10] 000,covid [10] 40,000 [9] assam,brethren [9] brethren,receiving Top Word Pairs in Tweet in G3:
[100] covid,19 [22] coup,covid [13] covid,flood [13] flood,despite [13] despite,hardships [13] hardships,people [13] people,going [13] going,fail [13] fail,save [13] save,stranded Top Word Pairs in Tweet in G4:
[48] covid,19 [16] record,number [14] 19,cases [12] tokyo,reported [12] reported,record [12] number,covid [12] cases,third [12] third,consecutive [12] consecutive,day [12] day,amid Top Word Pairs in Tweet in G5:
[27] covid,19 [22] usa,#covid [22] #covid,mortality [22] mortality,lowest [22] lowest,start [22] start,pandemic [22] pandemic,march [22] march,2020 [21] martinkulldorff,usa [8] 19,vaccine Top Word Pairs in Tweet in G6:
[26] live,lives [15] covid,19 [15] compromise,reached [15] reached,everyone [15] everyone,still [15] still,afraid [15] afraid,covid [15] covid,locked [15] locked,down [15] down,everyone Top Word Pairs in Tweet in G7:
[38] covid,19 [8] vacuna,sputnik [8] sputnik,covid [8] evidencia,científica [7] doctormacias,vacuna [6] contra,covid [6] vacunas,covid [4] afectados,covid [4] pesadilla,pandemia [4] pandemia,fuera Top Word Pairs in Tweet in G8:
[63] dia,ingat [59] laki,dia [58] tengah,delete [58] delete,comments [58] comments,dekat [58] dekat,ig [58] ig,ke [58] ke,dia [58] ingat,laki [58] dia,bagi Top Word Pairs in Tweet in G9:
[10] covid,19 [8] signaler,cas [7] cas,covid [5] mais,génial [5] génial,ça [5] ça,évitera [5] évitera,gamins [5] gamins,été [5] été,contaminés [5] contaminés,par Top Word Pairs in Tweet in G10:
[42] final,covid [42] covid,variant [42] variant,called [42] called,communism [41] _jord45,final [5] one,government [5] government,media [5] media,appears [5] appears,talking [5] talking,natural Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: