The graph represents a network of 11,995 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 Wednesday, 01 December 2021 at 08:47 UTC.
The requested start date was Wednesday, 01 December 2021 at 01:01 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 Sunday, 28 November 2021 at 12:18 UTC to Tuesday, 30 November 2021 at 12:19 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 : 11995
Unique Edges : 7109
Edges With Duplicates : 12077
Total Edges : 19186
Number of Edge Types : 5
Retweet : 5276
MentionsInRetweet : 6208
Tweet : 3689
Mentions : 2948
Replies to : 1065
Self-Loops : 3717
Reciprocated Vertex Pair Ratio : 0.00523560209424084
Reciprocated Edge Ratio : 0.0104166666666667
Connected Components : 3733
Single-Vertex Connected Components : 1010
Maximum Vertices in a Connected Component : 691
Maximum Edges in a Connected Component : 2100
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.582358
Graph Density : 6.67278199333097E-05
Modularity : 0.57802
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,995 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 Wednesday, 01 December 2021 at 08:47 UTC.
The requested start date was Wednesday, 01 December 2021 at 01:01 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 Sunday, 28 November 2021 at 12:18 UTC to Tuesday, 30 November 2021 at 12:19 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:
[2106] covid,19 [323] omicron,variant [259] covid,variant [147] contra,covid [134] south,africa [128] omicron,covid [123] nueva,variante [115] covid,relief [111] during,covid [102] pasaporte,covid Top Word Pairs in Tweet in G1:
[312] covid,19 [44] omicron,variant [39] covid,variant [20] omicron,covid [19] contra,covid [19] 19,variant [18] variante,covid [13] variante,ómicron [11] variant,omicron [11] south,africa Top Word Pairs in Tweet in G2:
[101] covid,relief [98] services,covid [97] civil,services [74] relief,#upscextraattempt [59] pmoindia,narendramodi [53] narendramodi,amitshah [49] #upscextraattempt,pmoindia [39] amitshah,gssjodhpur [36] gssjodhpur,myogiadityanath [36] myogiadityanath,drdineshbjp Top Word Pairs in Tweet in G3:
[25] covid,19 [12] omicron,variant [8] skynews,covid [8] 19,omicron [8] variant,'highly [8] 'highly,infectious' [8] infectious',booster [8] booster,jabs [8] jabs,need [8] need,'double' Top Word Pairs in Tweet in G4:
[20] votre,immunité [20] immunité,naturelle [19] #covid_19,votre [19] plusieurs,années [14] covid,19 [12] semblerait,lorsque [12] lorsque,attrapez [12] attrapez,#covid_19 [12] naturelle,dure [12] dure,plusieurs Top Word Pairs in Tweet in G5:
[16] vaccine,passports [13] switzerland,holds [13] holds,referendum [13] referendum,vaccine [13] passports,covid [13] covid,certificates [13] certificates,today [13] today,#novaccinepassports [12] jamesmelville,switzerland [10] zealand,jacinda Top Word Pairs in Tweet in G6:
[83] ภาพท,เราปล [83] เราปล,อยวางไม [83] อยวางไม,ได [83] ได,เลยค [83] เลยค,อภาพท [83] อภาพท,ช [83] ช,อ [83] อ,ค [83] ค,ณยายบ [83] ณยายบ,ว Top Word Pairs in Tweet in G7:
[30] stratégie,vaccinale [15] vaccinale,covid [15] covid,doit [15] doit,converger [15] converger,vers [15] vers,stratégie [15] vaccinale,grippale [15] grippale,centrée [15] centrée,personnes [15] personnes,risque Top Word Pairs in Tweet in G8:
[32] 49,year [32] year,old [32] old,texas [32] texas,man [32] man,recovered [32] recovered,covid [32] covid,required [32] required,fully [32] fully,vaccinated [32] vaccinated,against Top Word Pairs in Tweet in G9:
[21] omicron,variant [12] covid,19 [11] covid,variant [7] variant,covid [7] 19,raising [7] raising,concerns [7] concerns,health [7] health,officials [7] officials,amid [7] amid,busy Top Word Pairs in Tweet in G10:
[63] performing,korea [63] korea,empty [63] empty,rooms [63] rooms,during [63] during,covid [63] covid,made [63] made,feel [63] feel,went [63] went,back [63] back,eight Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: