The graph represents a network of 11,454 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 Sunday, 05 June 2022 at 08:11 UTC.
The requested start date was Sunday, 05 June 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, 4-minute period from Wednesday, 01 June 2022 at 12:15 UTC to Friday, 03 June 2022 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 : 11454
Unique Edges : 6864
Edges With Duplicates : 11145
Total Edges : 18009
Number of Edge Types : 5
Retweet : 5121
MentionsInRetweet : 6114
Tweet : 2916
Mentions : 2607
Replies to : 1251
Self-Loops : 2953
Reciprocated Vertex Pair Ratio : 0.00523999161601341
Reciprocated Edge Ratio : 0.0104253544620517
Connected Components : 3221
Single-Vertex Connected Components : 1012
Maximum Vertices in a Connected Component : 2302
Maximum Edges in a Connected Component : 4900
Maximum Geodesic Distance (Diameter) : 39
Average Geodesic Distance : 15.084013
Graph Density : 7.31194187841683E-05
Modularity : 0.596787
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,454 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 Sunday, 05 June 2022 at 08:11 UTC.
The requested start date was Sunday, 05 June 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, 4-minute period from Wednesday, 01 June 2022 at 12:15 UTC to Friday, 03 June 2022 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:
[1720] covid,19 [299] long,covid [229] covid,still [206] understand,covid [203] don,understand [203] still,spiking [203] spiking,ve [203] ve,tried [203] tried,everything [203] everything,pretending Top Word Pairs in Tweet in G1:
[261] covid,19 [26] long,covid [22] teste,covid [15] contra,covid [13] 19,vaccine [13] casos,covid [12] fazer,teste [11] pra,covid [11] covid,cases [10] covid,eu Top Word Pairs in Tweet in G2:
[200] don,understand [200] understand,covid [200] covid,still [200] still,spiking [200] spiking,ve [200] ve,tried [200] tried,everything [200] everything,pretending [200] pretending,over [200] over,pretending Top Word Pairs in Tweet in G3:
[75] contre,covid [35] étude,chu [29] 2021,véran [29] véran,vitamine [29] vitamine,dangereuse [29] dangereuse,d'utilité [29] d'utilité,contre [29] covid,quasi [29] quasi,interdite [29] interdite,pharmacie Top Word Pairs in Tweet in G4:
[23] long,covid [18] covid,19 [15] cost,living [15] living,crisis [14] uk,consumed [14] consumed,cost [14] crisis,borisjohnson [14] borisjohnson,sajidjavid [14] sajidjavid,quietly [14] quietly,preparing Top Word Pairs in Tweet in G5:
[122] covid,19 [105] recovery,covid [104] speedy,recovery [102] sonia,gandhi [101] congress,president [100] wishing,congress [100] president,smt [100] gandhi,ji [99] smt,sonia [98] ji,speedy Top Word Pairs in Tweet in G6:
[45] covid,19 [34] contre,covid [17] vaccin,contre [16] 19,ces [16] ces,soignants [16] soignants,révèlent [16] révèlent,avoir [16] avoir,été [16] été,surpayés [16] surpayés,par Top Word Pairs in Tweet in G7:
[159] manuelrico,hoy [120] días,gobierno [120] gobierno,ayuso [120] ayuso,aprobó [120] aprobó,protocolo [120] protocolo,impedía [120] impedía,trasladar [120] trasladar,hospital [120] hospital,residentes [115] residentes,vulnerab Top Word Pairs in Tweet in G8:
[65] covid,19 [47] speedy,recovery [42] tested,positive [40] positive,covid [34] sonia,gandhi [33] president,smt [33] smt,sonia [30] good,health [28] congress,president [23] recovery,covid Top Word Pairs in Tweet in G9:
[28] ethical,scientific [28] scientific,reason [28] reason,require [28] require,neg [28] neg,covid [28] covid,tests [28] tests,unvaxxed [28] unvaxxed,people [28] people,participate [28] participate,normal Top Word Pairs in Tweet in G10:
[21] covid,19 [16] covid,cases [15] long,covid [10] 100,children [9] more,100 [9] children,australia [9] australia,hospitalised [9] hospitalised,inflammatory [9] inflammatory,multisystem [9] multisystem,syndrome 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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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: