The graph represents a network of 10,469 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, 06 January 2022 at 08:28 UTC.
The requested start date was Thursday, 06 January 2022 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, 3-minute period from Monday, 03 January 2022 at 12:14 UTC to Wednesday, 05 January 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 : 10469
Unique Edges : 5574
Edges With Duplicates : 12393
Total Edges : 17967
Number of Edge Types : 5
Retweet : 5494
MentionsInRetweet : 6393
Tweet : 3635
Replies to : 376
Mentions : 2069
Self-Loops : 3676
Reciprocated Vertex Pair Ratio : 0.00407527268368692
Reciprocated Edge Ratio : 0.00811746448609287
Connected Components : 3149
Single-Vertex Connected Components : 1137
Maximum Vertices in a Connected Component : 616
Maximum Edges in a Connected Component : 1463
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 8.220974
Graph Density : 7.64398104883997E-05
Modularity : 0.543529
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,469 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, 06 January 2022 at 08:28 UTC.
The requested start date was Thursday, 06 January 2022 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, 3-minute period from Monday, 03 January 2022 at 12:14 UTC to Wednesday, 05 January 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:
[6478] covid,19 [504] ค,ดด [319] contra,covid [304] 19,cases [288] แล,ว [252] เราเร,ยกม [252] ยกม,นว [252] นว,า [252] า,covid [252] 19,เพราะม Top Word Pairs in Tweet in G1:
[811] covid,19 [41] 19,cases [36] contra,covid [31] casos,covid [26] positive,covid [20] 19,vaccine [17] 19,pandemic [17] positivo,covid [16] 19,em [15] #covid,19 Top Word Pairs in Tweet in G2:
[292] covid,19 [128] full,recovery [128] recovery,covid [120] notice,bts [116] charts_k,notice [93] rm,jin [82] jin,full [81] fully,recovered [81] recovered,covid [79] bts,rm Top Word Pairs in Tweet in G3:
[504] ค,ดด [252] เราเร,ยกม [252] ยกม,นว [252] นว,า [252] า,covid [252] covid,19 [252] 19,เพราะม [252] เพราะม,นเก [252] นเก,ดในป [252] ดในป,2019 Top Word Pairs in Tweet in G4:
[282] covid,19 [137] contra,covid [62] refuerzo,contra [49] vacunación,refuerzo [30] jornada,vacunación [24] gobierno,bolivariano [24] prevención,clave [22] casos,covid [22] lunes,#3ene [22] #3ene,inicia Top Word Pairs in Tweet in G5:
[114] covid,19 [43] psa,covid [43] 19,isn [43] isn,cold [43] cold,isn [43] isn,respiratory [43] respiratory,virus [43] virus,mild [43] mild,doesn [43] doesn,mean Top Word Pairs in Tweet in G6:
[103] covid,19 [12] 19,cases [12] shut,down [12] down,virus [11] know,won [11] won,stop [11] stop,same [11] same,anxieties [11] anxieties,being [11] being,weaponized Top Word Pairs in Tweet in G7:
[27] covid,19 [26] supprimer,passes [24] lcp,#covid19 [21] non,vaccinés [15] #covid19,france [15] france,insoumise [15] insoumise,propose [15] propose,supprimer [15] passes,régime [15] régime,l'état Top Word Pairs in Tweet in G8:
[62] covid,19 [25] higher,risk [25] severe,disease [23] people,overweight [23] overweight,obese [23] obese,much [23] much,higher [23] risk,much [23] much,more [23] more,severe Top Word Pairs in Tweet in G9:
[60] covid,19 [25] र,ह [24] ज,न [20] उत,तर [20] तर,ख [20] ख,ड [20] ड,पर [20] पर,वहन [20] वहन,न [20] न,गम Top Word Pairs in Tweet in G10:
[61] covid,19 [21] covid,46 [20] gop,state [20] state,assembly [20] assembly,candidate [20] dies,covid [18] kelly,ernby [18] california,woman [18] woman,tried [18] tried,parlay Top Replied-To in Entire Graph:
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 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:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: