The graph represents a network of 8,829 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 Thursday, 13 October 2022 at 07:12 UTC.
The requested start date was Thursday, 13 October 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 2-day, 0-hour, 10-minute period from Monday, 10 October 2022 at 12:07 UTC to Wednesday, 12 October 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 : 8829
Unique Edges : 3365
Edges With Duplicates : 12847
Total Edges : 16212
Number of Edge Types : 5
Retweet : 6044
MentionsInRetweet : 6551
Tweet : 1874
Mentions : 1299
Replies to : 444
Self-Loops : 1912
Reciprocated Vertex Pair Ratio : 0.00472300229767679
Reciprocated Edge Ratio : 0.00940160081311142
Connected Components : 1773
Single-Vertex Connected Components : 665
Maximum Vertices in a Connected Component : 2518
Maximum Edges in a Connected Component : 5430
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.742577
Graph Density : 0.000100984814275442
Modularity : 0.521833
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 8,829 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 Thursday, 13 October 2022 at 07:12 UTC.
The requested start date was Thursday, 13 October 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 2-day, 0-hour, 10-minute period from Monday, 10 October 2022 at 12:07 UTC to Wednesday, 12 October 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:
[5541] covid,19 [1027] 19,vaccine [565] 450,million [502] doses,covid [499] purchase,billion [499] billion,doses [495] million,eu [495] vaccine,450 [495] eu,residents [490] residents,biggest Top Word Pairs in Tweet in G1:
[596] covid,19 [43] 19,vaccine [30] 19,pandemic [20] contra,covid [18] pandemia,covid [11] first,time [11] #covid19,#covid_19 [11] 19,phishing [11] during,covid [10] time,covid Top Word Pairs in Tweet in G2:
[586] covid,19 [512] 19,vaccine [460] 450,million [460] billion,doses [460] eu,residents [460] doses,covid [460] biggest,corruption [460] residents,biggest [460] purchase,billion [460] million,eu Top Word Pairs in Tweet in G3:
[436] 今年春ころから体調が悪くなった,コロナワクチン2回打ってなお [436] 19に罹患してからだ,頭痛がひどい [436] 頭痛がひどい,夜眠れない [436] 腹痛もあって食欲もない,あんなに入学を楽しみにしていた中学校も [436] covid,19に罹患してからだ [436] 夜眠れない,そして朝起きれなく [436] 娘のこと,今年春ころから体調が悪くなった [436] そして朝起きれなく,腹痛もあって食欲もない [436] コロナワクチン2回打ってなお,covid [435] あんなに入学を楽しみにしていた中学校も,すぐに休みがちにな Top Word Pairs in Tweet in G4:
[400] covid,19 [394] 19,naquele [394] hc,muitas [394] dia,complexo [394] naquele,dia [394] cansativo,nas [394] triste,cansativo [394] utis,covid [394] nas,utis [394] extremamente,triste Top Word Pairs in Tweet in G5:
[160] covid,19 [94] edouard,philippe [61] 24,octobre [56] philippe,convoqué [56] mise,examen [54] cour,justice [54] justice,république [49] éventuelle,mise [42] vaccin,covid [37] l'achat,milliards Top Word Pairs in Tweet in G6:
[276] covid,19 [201] vtvcanal8,#prevención [152] contra,covid [151] efectivos,evitar [151] preventivos,efectivos [151] #prevención,uso [151] adecuado,mascarilla [151] métodos,preventivos [151] indica,métodos [151] mascarilla,indica Top Word Pairs in Tweet in G7:
[200] pfizer,executive [199] covid,19 [191] 19,vaccine [150] executive,admits [150] admits,covid [150] prevent,transmission [150] vaccine,never [150] never,tested [150] 'this,scandalous' [150] transmission,'this Top Word Pairs in Tweet in G8:
[192] covid,19 [88] 19,vaccines [86] increase,myocarditis [86] mrna,covid [85] men,10x [85] vaccines,increase [85] hard,imagine [85] young,men [85] really,hard [85] finally,really Top Word Pairs in Tweet in G9:
[131] covid,19 [110] l'achat,milliards [110] milliards,doses [110] 19,450 [110] vaccin,covid [110] doses,vaccin [71] 450,million [69] européen,déclaré [69] déclaré,l'achat [69] kolakusic,parlement Top Word Pairs in Tweet in G10:
[56] covid,19 [14] faces,150 [14] bilderbilgers,influenced [14] influenced,controlled [14] controlled,response [14] 150,bilderbilgers [14] names,faces [14] response,covid [9] quote,tweet [9] chris,40 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: