The graph represents a network of 11,790 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 Saturday, 06 November 2021 at 07:40 UTC.
The requested start date was Saturday, 06 November 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 3-day, 0-hour, 2-minute period from Tuesday, 02 November 2021 at 12:17 UTC to Friday, 05 November 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 : 11790
Unique Edges : 6891
Edges With Duplicates : 11280
Total Edges : 18171
Number of Edge Types : 5
Retweet : 5135
MentionsInRetweet : 5979
Tweet : 3607
Replies to : 1026
Mentions : 2424
Self-Loops : 3642
Reciprocated Vertex Pair Ratio : 0.00672324479224071
Reciprocated Edge Ratio : 0.0133566892927524
Connected Components : 3733
Single-Vertex Connected Components : 1135
Maximum Vertices in a Connected Component : 625
Maximum Edges in a Connected Component : 1308
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 9.019229
Graph Density : 6.57158658633704E-05
Modularity : 0.582732
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,790 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 Saturday, 06 November 2021 at 07:40 UTC.
The requested start date was Saturday, 06 November 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 3-day, 0-hour, 2-minute period from Tuesday, 02 November 2021 at 12:17 UTC to Friday, 05 November 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:
[2410] covid,19 [1961] î,î [344] ãƒ,ム[218] sa,covid [210] covid,vaccine [187] contra,covid [187] 19,vaccine [160] ang,ating [148] îºî,î [146] ˆà,ˆà Top Word Pairs in Tweet in G1:
[417] covid,19 [253] î,î [39] contra,covid [34] ãƒ,ム[24] 19,vaccine [23] covid,vaccine [19] pfizer,covid [16] ø,ù [16] covid,pill [15] casos,covid Top Word Pairs in Tweet in G2:
[66] covid,19 [39] against,covid [34] one,best [34] best,vaccine [33] ani,long [33] long,due [33] due,covaxin [33] covaxin,one [33] vaccine,against [33] covid,treated Top Word Pairs in Tweet in G3:
[195] sa,covid [160] ang,ating [111] mapabilis,ang [109] paglaya,sa [109] covid,ang [109] ang,kailangan [109] kailangan,klaro [109] klaro,malawakan [109] malawakan,strategic [109] strategic,mapagpalayang Top Word Pairs in Tweet in G4:
[30] covid,pill [30] florian,dagoury [30] dagoury,world [30] world,record [30] record,holder [30] holder,static [30] static,breath [30] breath,hold [30] hold,freediving [30] freediving,diagnosed Top Word Pairs in Tweet in G5:
[72] covid,19 [44] ãƒ,ム[40] rwmalonemd,repost [30] repost,vaccinating [30] vaccinating,children [30] children,against [30] against,covid [24] vaccine,trial [22] 19,vaccine [22] immunity,covid Top Word Pairs in Tweet in G6:
[19] died,covid [16] deaths,low [16] low,focus [16] focus,casesâ [16] casesâ,casesâ [16] casesâ,plummet [16] plummet,past [16] past,week [16] week,switch [16] switch,back Top Word Pairs in Tweet in G7:
[20] covid,19 [14] contre,covid [10] ºðÿ,aprã [10] aprã,avoir [10] avoir,rã [10] rã,analysã [10] analysã,tude [10] tude,rã [10] rã,alisã [10] alisã,par Top Word Pairs in Tweet in G8:
[20] covid,19 [9] 24,hours [9] high,risk [8] more,covid [7] risk,patients [6] last,24 [5] dispute,amanpour [5] covid,deaths [5] jcvi,minutes [5] pfizer,experimental Top Word Pairs in Tweet in G9:
[41] covid,19 [10] covid,recovered [9] #losmuertosdelopez,#losmuertosdelopez [9] 38,american [9] american,kids [9] kids,covid [8] contra,covid [8] already,immune [7] children,ages [7] porta,voz Top Word Pairs in Tweet in G10:
[41] covid,deaths [14] 293,covid [14] deaths,today [14] today,one [14] one,fifth [14] fifth,total [14] total,road [14] road,traffic [14] traffic,fatalities [14] fatalities,entire Top Replied-To in Entire Graph:
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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:
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Top Tweeters in G10: