The graph represents a network of 8,778 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 Monday, 22 August 2022 at 07:17 UTC.
The requested start date was Monday, 22 August 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 3-day, 0-hour, 14-minute period from Thursday, 18 August 2022 at 12:03 UTC to Sunday, 21 August 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 : 8778
Unique Edges : 4910
Edges With Duplicates : 12568
Total Edges : 17478
Number of Edge Types : 5
Retweet : 5702
MentionsInRetweet : 7361
Mentions : 1503
Tweet : 2493
Replies to : 419
Self-Loops : 2562
Reciprocated Vertex Pair Ratio : 0.00279037321241716
Reciprocated Edge Ratio : 0.00556521739130435
Connected Components : 2174
Single-Vertex Connected Components : 885
Maximum Vertices in a Connected Component : 810
Maximum Edges in a Connected Component : 2079
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5.807979
Graph Density : 0.000111948280906623
Modularity : 0.537096
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,778 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 Monday, 22 August 2022 at 07:17 UTC.
The requested start date was Monday, 22 August 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 3-day, 0-hour, 14-minute period from Thursday, 18 August 2022 at 12:03 UTC to Sunday, 21 August 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:
[5567] covid,19 [553] prime,minister [529] fumio,kishida [516] minister,fumio [512] recovery,covid [509] speedy,recovery [508] kishida,speedy [486] jpn_pmo,kishida230 [485] 19,jpn_pmo [484] wishing,friend Top Word Pairs in Tweet in G1:
[782] covid,19 [38] 19,pandemic [28] 19,vaccine [25] contra,covid [21] safe,date [21] date,covid [21] 19,linda [18] protokol,kesehatan [17] positive,covid [16] penularan,covid Top Word Pairs in Tweet in G2:
[521] prime,minister [511] covid,19 [504] fumio,kishida [504] speedy,recovery [504] recovery,covid [503] minister,fumio [503] kishida,speedy [485] jpn_pmo,kishida230 [484] 19,jpn_pmo [481] wishing,friend Top Word Pairs in Tweet in G3:
[676] covid,19 [182] vtvcanal8,#prevención [172] contra,covid [131] 19,venezuela [129] medidas,bioseguridad [106] control,covid [106] 19,contención [106] contención,mitigación [106] controla,contagio [106] contagio,evita Top Word Pairs in Tweet in G4:
[214] johns,hopkins [213] hopkins,university [213] university,meta [213] meta,analysis [213] analysis,studies [213] studies,around [213] around,world [213] world,concluded [213] concluded,lockdown [213] lockdown,mask Top Word Pairs in Tweet in G5:
[145] covid,19 [36] contre,covid [27] interdire,affiches [26] réponse,autorités [26] autorités,censure [26] censure,incapables [26] incapables,réfuter [26] réfuter,faits [26] faits,ils [26] ils,interdisent Top Word Pairs in Tweet in G6:
[109] covid,19 [38] gentle,reminder [38] reminder,write [38] write,down [38] down,below [38] below,know [38] know,covid [38] 19,august [38] august,2022 [38] 2022,symptoms Top Word Pairs in Tweet in G7:
[106] covid,19 [18] 19,deaths [15] sars,cov [15] remember,far [15] far,year [15] year,273 [15] 273,deaths [15] deaths,related [15] related,flu [15] flu,compared Top Word Pairs in Tweet in G8:
[116] aviation,fuel [116] fuel,n903 [116] n903,lagos [116] lagos,abuja [116] abuja,n205 [116] n205,000 [116] 000,return [116] return,ticket [116] ticket,apc [116] apc,lie Top Word Pairs in Tweet in G9:
[43] 接種をするとむしろ感染しやすくなると言うのは,抗体依存性感染増強 [43] 抗体依存性感染増強,ade [43] ade,で医師なら基礎知識として知っていること [43] で医師なら基礎知識として知っていること,ワクチン開発を難しくしているものの一つで [43] ワクチン開発を難しくしているものの一つで,covid [43] covid,19ワクチンは開発期間が短かったために運用してみないと分からなかった [42] bb45_colorado,接種をするとむしろ感染しやすくなると言うのは [29] えげつないくらい阿,踊りcovid [29] 踊りcovid,19おるぞ [28] coyabu0315,えげつないくらい阿 Top Word Pairs in Tweet in G10:
[114] peter,obi [114] obi,atiku [114] bola,ahmed [113] atiku,kwankwaso [113] kwankwaso,bola [113] ahmed,tinubu [113] tinubu,invited [113] invited,speak [113] speak,nba [113] nba,conference 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 G9:
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: