The graph represents a network of 11,717 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 November 2021 at 08:48 UTC.
The requested start date was Wednesday, 24 November 2021 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, 2-minute period from Sunday, 21 November 2021 at 12:17 UTC to Tuesday, 23 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 : 11717
Unique Edges : 6747
Edges With Duplicates : 11824
Total Edges : 18571
Number of Edge Types : 5
Retweet : 5349
MentionsInRetweet : 6196
Tweet : 3569
Replies to : 1048
Mentions : 2409
Self-Loops : 3615
Reciprocated Vertex Pair Ratio : 0.00498536902568549
Reciprocated Edge Ratio : 0.00992127682519142
Connected Components : 3531
Single-Vertex Connected Components : 954
Maximum Vertices in a Connected Component : 2089
Maximum Edges in a Connected Component : 4497
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 11.151079
Graph Density : 6.75498621131975E-05
Modularity : 0.574961
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,717 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 November 2021 at 08:48 UTC.
The requested start date was Wednesday, 24 November 2021 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, 2-minute period from Sunday, 21 November 2021 at 12:17 UTC to Tuesday, 23 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:
[2317] covid,19 [288] covid,cases [205] positive,covid [187] against,covid [158] 19,vaccine [134] contra,covid [129] cases,contacts [128] army,transferring [126] transferring,positive [125] northern,territories Top Word Pairs in Tweet in G1:
[297] covid,19 [13] contra,covid [13] 19,vaccine [12] 19,cases [12] covid,deaths [11] casos,covid [10] against,covid [10] certificat,covid [9] 19,vaccination [9] covid,vaccine Top Word Pairs in Tweet in G2:
[32] covid,19 [26] contre,covid [20] covid,sont [14] anti,covid [13] vaccinés,contre [12] 651,morts [12] morts,#covid [12] #covid,signalés [12] signalés,62 [12] 62,avaient Top Word Pairs in Tweet in G3:
[45] covid,cases [43] javid,marr [43] marr,morning [43] morning,doesn [43] doesn,see [43] see,uk [43] uk,covid [43] cases,deaths [43] deaths,reach [43] reach,european Top Word Pairs in Tweet in G4:
[34] against,covid [34] covid,mandates [31] revolution,televised [31] rises,against [29] mandates,#resist [28] positive,covid [27] cases,close [27] close,contacts [26] covid,cases [25] australian,army Top Word Pairs in Tweet in G5:
[114] covid,cases [109] australia,army [109] army,transferring [109] transferring,positive [109] positive,covid [109] cases,contacts [109] contacts,northern [109] northern,territories [109] territories,quarantine [108] berniespofforth,australia Top Word Pairs in Tweet in G6:
[27] joe,biden [26] under,joe [26] biden,more [26] more,people [26] people,died [26] died,covid [26] covid,2021 [26] 2021,2020 [26] 2020,spite [26] spite,three Top Word Pairs in Tweet in G7:
[35] covid,19 [33] covid,passport [31] retweet,oppose [31] oppose,covid [31] passport,mandates [30] petersweden7,retweet [25] tokyo,particular [25] particular,kicking [25] kicking,covid's [25] covid's,ass Top Word Pairs in Tweet in G8:
[20] covid,deaths [17] covid,19 [11] 'covid,19' [10] cdc,reports [10] reports,zero [10] zero,weekly [10] weekly,covid [10] deaths,people [10] people,under [10] under,age Top Word Pairs in Tweet in G9:
[18] pasaporte,covid [12] certificado,covid [10] pase,covid [9] updated,guidelines [9] datos,vacuna [9] covid,españa [7] fda,quiere [7] quiere,55 [7] 55,procesar [7] procesar,solicitud Top Word Pairs in Tweet in G10:
[55] covid,19 [27] angela,merkel [27] merkel,latest [25] business,angela [24] latest,covid [24] 19,surge [24] surge,germany's [24] germany's,worst [24] worst,hospitals [24] hospitals,soon Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
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: