The graph represents a network of 12,371 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 Sunday, 17 January 2021 at 08:49 UTC.
The requested start date was Sunday, 17 January 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, 0-minute period from Wednesday, 13 January 2021 at 13:46 UTC to Friday, 15 January 2021 at 13:47 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 : 12371
Unique Edges : 7253
Edges With Duplicates : 11619
Total Edges : 18872
Number of Edge Types : 5
Retweet : 5354
MentionsInRetweet : 6316
Tweet : 3726
Replies to : 841
Mentions : 2635
Self-Loops : 3771
Reciprocated Vertex Pair Ratio : 0.00507238719222234
Reciprocated Edge Ratio : 0.0100935758595311
Connected Components : 4054
Single-Vertex Connected Components : 1116
Maximum Vertices in a Connected Component : 1409
Maximum Edges in a Connected Component : 3064
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 11.818341
Graph Density : 6.21515086623624E-05
Modularity : 0.586262
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 12,371 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 Sunday, 17 January 2021 at 08:49 UTC.
The requested start date was Sunday, 17 January 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, 0-minute period from Wednesday, 13 January 2021 at 13:46 UTC to Friday, 15 January 2021 at 13:47 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:
[3241] covid,19 [459] contra,covid [218] covid,vaccine [201] 19,vaccine [132] tratamento,precoce [109] 19,deaths [106] positive,covid [105] covid,não [102] precoce,contra [96] due,covid Top Word Pairs in Tweet in G1:
[469] covid,19 [41] 19,vaccine [40] contra,covid [22] covid,vaccine [11] during,covid [10] positive,covid [10] vacunación,contra [10] covid,test [10] #bwhi,#bwhiequity [10] #bwhiequity,#protectblackwomenshealth Top Word Pairs in Tweet in G2:
[144] covid,19 [91] uso,sputnik [89] sputnik,vacuna [89] vacuna,segura [87] minsaludve,aprobó [87] aprobó,uso [86] segura,eficaz [79] #graciasrusia,minsaludve [66] día,#graciasrusia [65] contra,covid Top Word Pairs in Tweet in G3:
[45] covid,19 [14] president,elect [11] re,teeth [11] teeth,crisis [11] crisis,need [11] need,take [11] take,immediate [11] immediate,action [11] action,virus [11] virus,under Top Word Pairs in Tweet in G4:
[20] covid,19 [9] biggest,mistake [9] mistake,uk [9] uk,made [9] made,continues [9] continues,make [9] make,seeing [9] seeing,covid [9] covid,flu [9] flu,become Top Word Pairs in Tweet in G5:
[28] important,international [28] international,study [28] study,lockdowns [28] lockdowns,stanford [28] stanford,university [28] university,experts [28] experts,shows [28] shows,clear [28] clear,significant [28] significant,beneficial Top Word Pairs in Tweet in G6:
[20] reporte,#covid_19mx [20] #covid_19mx,#edoméx [19] covid,19 [13] alfredodelmazo,reporte [7] contra,covid [5] edomex,seguimos [5] seguimos,trabajando [5] trabajando,salud [5] salud,familias [5] familias,mexiquenses Top Word Pairs in Tweet in G7:
[20] covid,19 [15] school,strike [15] strike,week [15] week,126 [15] 126,ongoing [15] ongoing,pandemic [15] pandemic,doing [15] doing,#climatestrikeonline [15] #climatestrikeonline,physical [15] physical,strikes Top Word Pairs in Tweet in G8:
[68] covid,19 [65] uk,tragically [65] tragically,hits [65] hits,record [65] record,number [65] number,covid [65] 19,deaths [65] deaths,covid [65] covid,sceptic [64] sceptic,chief Top Word Pairs in Tweet in G9:
[81] covid,19 [33] 19,deaths [25] 19,recoveries [25] recoveries,far [25] far,more [25] more,common [25] common,covid [25] deaths,media [25] media,makes [25] makes,seem Top Word Pairs in Tweet in G10:
[18] covid,19 [10] china,finally [10] finally,lets [10] lets,wuhan [10] wuhan,probe [10] probe,covid [10] 19,origins [8] cbsnews,china [6] #covid19,vaccine [4] public,health Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: