The graph represents a network of 10,534 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, 02 July 2021 at 07:22 UTC.
The requested start date was Friday, 02 July 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, 3-minute period from Tuesday, 29 June 2021 at 12:16 UTC to Thursday, 01 July 2021 at 12:20 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 : 10534
Unique Edges : 5638
Edges With Duplicates : 11783
Total Edges : 17421
Number of Edge Types : 5
Retweet : 5283
MentionsInRetweet : 6009
Replies to : 347
Tweet : 3733
Mentions : 2049
Self-Loops : 3779
Reciprocated Vertex Pair Ratio : 0.00637579697462183
Reciprocated Edge Ratio : 0.0126708074534161
Connected Components : 3347
Single-Vertex Connected Components : 1255
Maximum Vertices in a Connected Component : 1134
Maximum Edges in a Connected Component : 2475
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 10.477764
Graph Density : 7.25521826391333E-05
Modularity : 0.543884
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,534 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, 02 July 2021 at 07:22 UTC.
The requested start date was Friday, 02 July 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, 3-minute period from Tuesday, 29 June 2021 at 12:16 UTC to Thursday, 01 July 2021 at 12:20 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:
[6657] covid,19 [462] contra,covid [219] 19,vaccine [209] คซ,น [193] 19,cases [184] 19,pandemic [154] punca,utama [145] kkm,sendiri [145] sendiri,akui [145] akui,80 Top Word Pairs in Tweet in G1:
[1137] covid,19 [72] contra,covid [70] nld,member [70] family,died [70] died,covid [62] #july1coup,#whatshappeninginmyanmar [61] junta,terrorists [61] terrorists,abducted [61] abducted,nld [50] june30,junta Top Word Pairs in Tweet in G2:
[163] covid,19 [76] india,proud [76] proud,efforts [76] efforts,doctors [76] doctors,fighting [76] fighting,covid [76] 19,1st [76] 1st,july [76] july,marked [76] marked,national Top Word Pairs in Tweet in G3:
[152] punca,utama [143] kkm,sendiri [143] sendiri,akui [143] akui,80 [143] 80,kluster [143] kluster,selangor [143] selangor,adalah [143] adalah,berpunca [143] berpunca,dari [143] dari,kilang Top Word Pairs in Tweet in G4:
[50] covid,19 [9] still,time [9] time,save [9] save,lives [9] lives,prevent [9] prevent,long [9] long,term [9] term,debilitating [9] debilitating,effects [9] effects,covid Top Word Pairs in Tweet in G5:
[116] covid,19 [72] 19,cases [70] public,health [70] health,scotland [70] scotland,total [70] total,991 [70] 991,covid [70] cases,scotland [70] scotland,linked [70] linked,fans Top Word Pairs in Tweet in G6:
[112] covid,19 [28] ดกำล,งพลจ [25] อ,covid [24] ดเช,อ [23] วยโคว,ด [22] บร,จาคพลาสมา [22] จาคพลาสมา,ช [22] ช,วยโคว [22] ด,ตามนโยบาย [22] ตามนโยบาย,ทบ Top Word Pairs in Tweet in G7:
[154] covid,19 [32] skynews,covid [22] nearly,000 [22] euro,2020 [20] fans,watching [20] watching,euro [20] 2020,games [19] 19,nearly [19] 000,cases [19] cases,linked Top Word Pairs in Tweet in G8:
[114] covid,19 [53] contra,covid [27] ii,fase [27] fase,vacunación [24] plan,ii [24] vacunación,través [24] través,sistema [24] sistema,carnetdlapatria [24] carnetdlapatria,estará [24] estará,convocando Top Word Pairs in Tweet in G9:
[96] covid,19 [28] jun,2021 [26] hari,ini [19] lebih,500 [19] 500,kes [19] kes,positif [19] positif,direkodkan [19] direkodkan,mentari [19] mentari,court [19] court,pj Top Word Pairs in Tweet in G10:
[119] เกาหล,ใต [68] คซ,น [59] ใต,วางแผนซ [59] วางแผนซ,อว [59] อว,คซ [59] น,mrna [59] mrna,สำหร [59] สำหร,บป [59] บป,หน [59] หน,า Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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:
Top Mentioned in G3:
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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:
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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: