The graph represents a network of 12,005 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 Tuesday, 29 June 2021 at 07:34 UTC.
The requested start date was Tuesday, 29 June 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 2-day, 0-hour, 1-minute period from Saturday, 26 June 2021 at 12:20 UTC to Monday, 28 June 2021 at 12:22 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 : 12005
Unique Edges : 6662
Edges With Duplicates : 11940
Total Edges : 18602
Number of Edge Types : 5
Retweet : 5444
MentionsInRetweet : 6225
Tweet : 3569
Replies to : 905
Mentions : 2459
Self-Loops : 3599
Reciprocated Vertex Pair Ratio : 0.00576400217509516
Reciprocated Edge Ratio : 0.011461937716263
Connected Components : 3718
Single-Vertex Connected Components : 1015
Maximum Vertices in a Connected Component : 429
Maximum Edges in a Connected Component : 928
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.488211
Graph Density : 6.41740827470948E-05
Modularity : 0.57593
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 12,005 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 Tuesday, 29 June 2021 at 07:34 UTC.
The requested start date was Tuesday, 29 June 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 2-day, 0-hour, 1-minute period from Saturday, 26 June 2021 at 12:20 UTC to Monday, 28 June 2021 at 12:22 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:
[2557] covid,19 [187] contra,covid [165] fully,vaccinated [138] delta,variant [138] cpi,covid [137] covid,vaccine [111] kena,covid [107] due,covid [105] 19,vaccine [84] against,covid Top Word Pairs in Tweet in G1:
[325] covid,19 [25] contra,covid [24] june,26 [24] 26,2021 [24] illegitimate,military [24] military,junta [24] incapable,successfully [24] successfully,managing [24] managing,crisis [24] crisis,covid Top Word Pairs in Tweet in G2:
[76] covid,19 [42] lost,capable [42] capable,officer [42] officer,shri [42] shri,guruprasad [42] guruprasad,mohapatra [42] mohapatra,covid [42] 19,peak [42] peak,illness [42] illness,helping Top Word Pairs in Tweet in G3:
[42] covid,19 [24] transport,routes [24] routes,venues [23] nsw,health [19] public,health [19] health,alert [15] tested,positive [14] nswhealth,public [14] health,notified [12] alert,transport Top Word Pairs in Tweet in G4:
[83] covid,19 [11] kasus,covid [10] ivermectin,sebagai [9] pandemi,covid [8] vaksinasi,covid [8] pasien,covid [8] dki,jakarta [7] presiden,jokowi [7] sebagai,obat [6] 12,17 Top Word Pairs in Tweet in G5:
[26] covid,19 [4] sars,cov [4] jmcrookston,kateliveco1g [4] kateliveco1g,covid_questions [4] delta,variant [4] oklahoma,again [3] hong,kong [3] kong,bans [3] bans,passenger [3] passenger,flights Top Word Pairs in Tweet in G6:
[52] fully,vaccinated [49] cdc,fully [49] vaccinated,resume [49] resume,activities [49] activities,without [49] without,wearing [49] wearing,mask [49] mask,physical [48] melindaperle,cdc [48] physical,distanci Top Word Pairs in Tweet in G7:
[6] covid,19 [6] long,covid [6] 3rd,wave [6] make,sure [6] sure,july [6] july,19th [6] 19th,end [6] end,covid [6] covid,restrictions [6] restrictions,forever Top Word Pairs in Tweet in G8:
[3] borisjohnson,didn [3] didn,photo [3] photo,shoot [3] shoot,modi [3] modi,reason [3] reason,left [3] left,border [3] border,india [3] india,open [3] open,delta Top Word Pairs in Tweet in G9:
[15] covid,19 [4] breaking,research [4] research,shows [4] shows,third [4] third,dose [4] dose,astrazeneca [4] astrazeneca,#covid19 [4] #covid19,vaccine [4] vaccine,six [4] six,months Top Word Pairs in Tweet in G10:
[25] ayushman,bharat [24] india,today [24] today,accessed [24] accessed,rti [24] rti,performance [24] performance,pm [24] pm,flagship [24] flagship,health [24] health,care [24] care,program Top Replied-To in Entire Graph:
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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: