The graph represents a network of 12,060 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 Monday, 29 November 2021 at 09:41 UTC.
The requested start date was Monday, 29 November 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 3-day, 0-hour, 1-minute period from Thursday, 25 November 2021 at 12:18 UTC to Sunday, 28 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 : 12060
Unique Edges : 7259
Edges With Duplicates : 12572
Total Edges : 19831
Number of Edge Types : 5
Retweet : 5187
MentionsInRetweet : 6287
Tweet : 3746
Replies to : 1110
Mentions : 3501
Self-Loops : 3783
Reciprocated Vertex Pair Ratio : 0.0048150804220879
Reciprocated Edge Ratio : 0.00958401305057096
Connected Components : 3814
Single-Vertex Connected Components : 1033
Maximum Vertices in a Connected Component : 1111
Maximum Edges in a Connected Component : 2280
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 10.853065
Graph Density : 6.74406665844287E-05
Modularity : 0.569132
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,060 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 Monday, 29 November 2021 at 09:41 UTC.
The requested start date was Monday, 29 November 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 3-day, 0-hour, 1-minute period from Thursday, 25 November 2021 at 12:18 UTC to Sunday, 28 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:
[2199] covid,19 [422] covid,variant [283] south,africa [204] covid,relief [193] services,covid [190] civil,services [187] 19,variant [152] relief,#upscextraattempt [152] nueva,variante [146] contra,covid Top Word Pairs in Tweet in G1:
[274] covid,19 [64] covid,variant [45] south,africa [28] 19,variant [17] covid,21 [16] variante,covid [14] variant,covid [13] omicron,variant [12] over,covid [11] nueva,variante Top Word Pairs in Tweet in G2:
[22] covid,19 [10] learn,live [9] watching,#trevorphillips [9] #trevorphillips,absolutely [9] absolutely,disgusted [9] disgusted,hear [9] hear,sajidjavid [9] sajidjavid,state [9] state,learn [8] karenlovecheese,watching Top Word Pairs in Tweet in G3:
[199] covid,relief [193] services,covid [190] civil,services [152] relief,#upscextraattempt [112] pmoindia,narendramodi [104] narendramodi,amitshah [103] #upscextraattempt,pmoindia [79] amitshah,gssjodhpur [70] gssjodhpur,myogiadityanath [63] myogiadityanath,drdineshbjp Top Word Pairs in Tweet in G4:
[14] covid,19 [12] covid,variant [8] violence,against [8] against,women [7] covid,update [7] mutated,#covid19 [7] #covid19,variant [7] variant,detected [7] detected,israel [7] israel,wake Top Word Pairs in Tweet in G5:
[24] allemagne,24 [24] 24,novembre [24] 350,morts [24] morts,covid [22] novembre,2021 [12] novembre,2020 [12] 2020,350 [12] covid,allemagne [12] 2021,350 [11] f_philippot,allemagne Top Word Pairs in Tweet in G6:
[5] kenneth72712993,keithamccluskey [5] keithamccluskey,jimdtweet [5] gordon_dhg,bolzmannmichael [5] bolzmannmichael,ericwil06256732 [5] wildweatherdan,robhon_ [5] twtthisisnow,tragiicomedy [5] tragiicomedy,covid_parent [5] covid_parent,canadianworker2 [5] canadianworker2,iandjbrown2 [5] iandjbrown2,ingersolrobert Top Word Pairs in Tweet in G7:
[8] covid,19 [7] covid,avons [7] pass,sanitaire [6] direct,variant [6] variant,omicron [5] contre,covid [5] jean,michel [5] michel,blanquer [5] n'y,aura [5] aura,plus Top Word Pairs in Tweet in G8:
[23] covid,19 [21] husband,brother [21] brother,thanksgiving [21] thanksgiving,table [21] table,today [21] today,someone [21] someone,job [21] job,lied [21] lied,told [20] drpoppybhrt,husband Top Word Pairs in Tweet in G9:
[46] covid,19 [10] pandemia,covid [9] partner,waiting [9] waiting,ambulance [9] ambulance,london [9] london,hours [9] hours,severe [9] severe,covid [9] covid,blood [9] blood,oxygen Top Word Pairs in Tweet in G10:
[2] vaccine,trials 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 G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: