The graph represents a network of 9,868 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 13 May 2022 at 07:19 UTC.
The requested start date was Friday, 13 May 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, 15-minute period from Tuesday, 10 May 2022 at 12:02 UTC to Thursday, 12 May 2022 at 12:17 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 : 9868
Unique Edges : 5471
Edges With Duplicates : 11265
Total Edges : 16736
Number of Edge Types : 5
Retweet : 4995
MentionsInRetweet : 5893
Tweet : 3129
Mentions : 2195
Replies to : 524
Self-Loops : 3193
Reciprocated Vertex Pair Ratio : 0.00822634924591799
Reciprocated Edge Ratio : 0.0163184571640499
Connected Components : 2917
Single-Vertex Connected Components : 1282
Maximum Vertices in a Connected Component : 1471
Maximum Edges in a Connected Component : 3236
Maximum Geodesic Distance (Diameter) : 37
Average Geodesic Distance : 13.897879
Graph Density : 8.30769542988221E-05
Modularity : 0.553474
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,868 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 13 May 2022 at 07:19 UTC.
The requested start date was Friday, 13 May 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, 15-minute period from Tuesday, 10 May 2022 at 12:02 UTC to Thursday, 12 May 2022 at 12:17 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-19
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:
[6364] covid,19 [283] contra,covid [219] 19,pandemic [168] 19,vaccine [159] year,old [149] positive,covid [145] bill,gates [133] casos,covid [126] north,korea [124] two,weeks Top Word Pairs in Tweet in G1:
[1232] covid,19 [55] 19,pandemic [45] puan,maharani [44] contra,covid [43] pandemi,covid [38] 19,vaccine [38] bill,gates [30] 19,cases [27] puan,presiden [27] presiden,kita Top Word Pairs in Tweet in G2:
[244] covid,19 [75] medidas,bioseguridad [71] cumplir,medidas [62] bioseguridad,combatir [62] combatir,covid [54] contra,covid [50] #11may,#cz43capital [50] #cz43capital,invita [50] invita,cumplir [43] 19,#uesparacotos Top Word Pairs in Tweet in G3:
[101] covid,19 [22] ont,été [18] 16,mai [16] rothschild,ont [16] ont,breveté [16] breveté,tests [16] tests,biométriques [16] biométriques,covid [16] 19,2015 [16] 2015,2017 Top Word Pairs in Tweet in G4:
[132] covid,19 [120] time,two [120] two,weeks [120] weeks,ago [120] ago,lost [120] lost,beautiful [120] beautiful,year [120] year,old [120] old,covid [120] 19,never Top Word Pairs in Tweet in G5:
[62] ministre,santé [61] covid,19 [54] cour,suprême [53] l'espagne,désormais [53] désormais,9e [53] 9e,pays [53] pays,poursuivre [53] poursuivre,ministre [53] santé,justice [53] justice,gagner Top Word Pairs in Tweet in G6:
[119] covid,19 [64] looking,forward [64] forward,people [64] people,stop [64] stop,making [64] making,public [64] public,announcements [64] announcements,having [64] having,covid [64] 19,mild Top Word Pairs in Tweet in G7:
[37] covid,19 [10] partir,lundi [10] lundi,16 [10] 16,mai [10] mai,masque [10] masque,sera [10] sera,plus [10] plus,obligatoire [10] obligatoire,l'ensemble [10] l'ensemble,transports Top Word Pairs in Tweet in G8:
[92] covid,19 [29] positive,covid [27] bill,gates [27] gates,tested [27] tested,positive [27] 19,experiencing [27] experiencing,mild [27] mild,symptoms [27] symptoms,adding [27] adding,fortunate Top Word Pairs in Tweet in G9:
[80] covid,19 [30] 19,deaths [24] needed,more [24] more,proof [24] proof,vaccines [24] vaccines,work [24] work,switzerland [24] switzerland,reporting [24] reporting,covid [24] deaths,vaccination Top Word Pairs in Tweet in G10:
[74] covid,19 [29] uganda,turkey [27] investment,trade [23] trade,industry [22] turkey,investment [21] industry,tourism [19] 19,testing [18] mandatory,covid [12] tourism,summit [11] theme,accelerating Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: