The graph represents a network of 11,733 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, 06 July 2021 at 08:39 UTC.
The requested start date was Monday, 05 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 3-day, 0-hour, 1-minute period from Thursday, 01 July 2021 at 12:21 UTC to Sunday, 04 July 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 : 11733
Unique Edges : 6318
Edges With Duplicates : 11877
Total Edges : 18195
Number of Edge Types : 5
Retweet : 5498
MentionsInRetweet : 6272
Replies to : 879
Tweet : 3439
Mentions : 2107
Self-Loops : 3464
Reciprocated Vertex Pair Ratio : 0.00389668225339568
Reciprocated Edge Ratio : 0.00776311411777753
Connected Components : 3641
Single-Vertex Connected Components : 995
Maximum Vertices in a Connected Component : 757
Maximum Edges in a Connected Component : 1626
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.132375
Graph Density : 6.55059794601959E-05
Modularity : 0.573519
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,733 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, 06 July 2021 at 08:39 UTC.
The requested start date was Monday, 05 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 3-day, 0-hour, 1-minute period from Thursday, 01 July 2021 at 12:21 UTC to Sunday, 04 July 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:
[2870] covid,19 [233] contra,covid [168] คซ,น [154] อ,covid [133] long,covid [133] ke,rumah [132] dibawa,ke [132] น,mrna [132] นธ,ท [130] ไม,ม Top Word Pairs in Tweet in G1:
[324] covid,19 [24] contra,covid [20] kena,covid [16] during,covid [15] died,covid [14] #july1coup,#whatshappeninginmyanmar [14] covid,vaccine [12] nld,member [12] family,died [12] positif,covid Top Word Pairs in Tweet in G2:
[63] long,covid [29] learn,live [28] please,borisjohnson [28] borisjohnson,explain [28] explain,frontline [28] frontline,nhs [28] nhs,staff [28] staff,gets [28] gets,wear [28] wear,enhanced Top Word Pairs in Tweet in G3:
[125] indonesian,friends [123] faheemyounus,indonesian [68] friends,milk [68] milk,vitamins [68] vitamins,ivermectin [68] ivermectin,role [68] role,covid [68] covid,treatment [68] treatment,susu [68] susu,ini Top Word Pairs in Tweet in G4:
[132] covid,19 [129] kes,kematian [126] jenazah,tidak [126] tidak,dibenarkan [126] dibenarkan,dibawa [126] dibawa,ke [126] ke,rumah [126] rumah,kerana [126] kerana,sop [126] sop,ketat Top Word Pairs in Tweet in G5:
[31] pregnant,women [21] covid,19 [19] during,covid [14] against,#covid19 [14] one,tweet [14] tweet,rahulgandhi [14] rahulgandhi,troll [14] troll,minister [14] minister,comes [14] comes,please Top Word Pairs in Tweet in G6:
[17] long,covid [15] 27,989 [15] 989,covid [15] covid,cases [15] cases,yesterday [15] yesterday,highest [15] highest,january [15] january,johnson [15] johnson,prized [15] prized,brexit Top Word Pairs in Tweet in G7:
[125] ห,อออ [125] อออ,เบอร [125] เบอร,แรง [125] แรง,พบเช [125] พบเช,อ [125] อ,covid [125] covid,19 [125] 19,กลายพ [125] กลายพ,นธ [125] นธ,จากสายพ Top Word Pairs in Tweet in G8:
[22] covid,19 [11] bjp,winning [11] winning,67 [11] 67,75 [11] 75,district [11] district,panchayat [11] panchayat,seats [11] seats,amid [11] amid,covid [11] covid,second Top Word Pairs in Tweet in G9:
[113] covid,19 [112] ผ,ป [112] ป,าย [112] าย,covid [112] 19,ท [112] ท,ไม [112] ไม,ม [112] ม,รถพยาบาลมาร [112] รถพยาบาลมาร,บให [112] บให,ต Top Word Pairs in Tweet in G10:
[24] covid,19 [7] delta,variant [6] pandemics,such [6] such,1918 [6] 1918,influenza [6] influenza,covid [6] 19,pandemics [6] pandemics,significantly [6] significantly,affect [6] affect,work Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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:
Top Tweeters in G2:
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: