The graph represents a network of 11,574 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 Thursday, 07 April 2022 at 09:48 UTC.
The requested start date was Thursday, 07 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, 2-minute period from Monday, 04 April 2022 at 12:17 UTC to Wednesday, 06 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 : 11574
Unique Edges : 6627
Edges With Duplicates : 11310
Total Edges : 17937
Number of Edge Types : 5
Retweet : 5188
MentionsInRetweet : 6068
Tweet : 3070
Mentions : 2470
Replies to : 1141
Self-Loops : 3116
Reciprocated Vertex Pair Ratio : 0.00593952483801296
Reciprocated Edge Ratio : 0.011808910359635
Connected Components : 3332
Single-Vertex Connected Components : 998
Maximum Vertices in a Connected Component : 1692
Maximum Edges in a Connected Component : 3665
Maximum Geodesic Distance (Diameter) : 43
Average Geodesic Distance : 13.156531
Graph Density : 6.95430010243986E-05
Modularity : 0.587059
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,574 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 Thursday, 07 April 2022 at 09:48 UTC.
The requested start date was Thursday, 07 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, 2-minute period from Monday, 04 April 2022 at 12:17 UTC to Wednesday, 06 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:
[1678] covid,19 [249] long,covid [139] manuelrico,hoy [112] días,gobierno [112] gobierno,ayuso [112] ayuso,aprobó [112] aprobó,protocolo [112] protocolo,impedía [112] impedía,trasladar [112] trasladar,hospital Top Word Pairs in Tweet in G1:
[313] covid,19 [30] 19,vaccine [18] individuals,aged [18] doses,covid [18] aged,60 [18] non,indigenous [18] indigenous,household [18] household,members [18] members,aged [18] aged,18 Top Word Pairs in Tweet in G2:
[20] covid,vaccine [16] vaccine,deaths [15] ve,kids [15] kids,primary [15] primary,school [15] school,younger [15] younger,suffering [15] suffering,2nd [15] 2nd,case [15] case,covid Top Word Pairs in Tweet in G3:
[13] covid,19 [13] icu,patients [12] many,kids [11] testing,covid [11] imgrund,dfisman [11] dfisman,aspphysician [11] aspphysician,irfandhalla [11] irfandhalla,bogochisaac [11] bogochisaac,sharkawymd [10] kids,testing Top Word Pairs in Tweet in G4:
[35] analysis,oxford [35] oxford,university [35] university,shows [35] shows,fraudsters [35] fraudsters,stole [35] stole,around [35] around,37b [35] 37b,various [35] various,covid [35] covid,support Top Word Pairs in Tweet in G5:
[63] british,airways [59] 16,march [59] march,2022 [59] 2022,british [59] airways,removed [59] removed,masks [59] masks,mandates [59] mandates,flights [59] flights,flaunted [59] flaunted,policy Top Word Pairs in Tweet in G6:
[139] manuelrico,hoy [112] días,gobierno [112] gobierno,ayuso [112] ayuso,aprobó [112] aprobó,protocolo [112] protocolo,impedía [112] impedía,trasladar [112] trasladar,hospital [112] hospital,residentes [107] residentes,vulnerab Top Word Pairs in Tweet in G7:
[45] covid,19 [16] 19,vaccine [13] 4th,covid [10] instead,recognizing [10] recognizing,covid [10] covid,follows [10] follows,predictable [10] predictable,patterns [10] patterns,seasonal [10] seasonal,variations Top Word Pairs in Tweet in G8:
[20] covid,19 [12] covid,flu [10] omicron,far [10] far,more [10] more,dangerous [10] dangerous,flu [10] flu,many [10] many,bought [10] bought,covid [10] flu,narrative Top Word Pairs in Tweet in G9:
[29] contre,covid [22] petit,rappel [22] rappel,l'avantage [22] l'avantage,d'être [22] d'être,vacciné [22] vacciné,contre [21] unifred6,petit [15] covid,19 [6] lire,absolument [6] absolument,données Top Word Pairs in Tweet in G10:
[43] covid,relief [41] republicans,opposed [41] opposed,social [41] social,security [41] security,1935 [41] 1935,medicare [41] medicare,1965 [41] 1965,aca [41] aca,2010 [41] 2010,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: