The graph represents a network of 8,546 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 Friday, 16 December 2022 at 08:15 UTC.
The requested start date was Friday, 16 December 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, 17-minute period from Tuesday, 13 December 2022 at 12:01 UTC to Thursday, 15 December 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 : 8546
Unique Edges : 4117
Edges With Duplicates : 12569
Total Edges : 16686
Number of Edge Types : 5
Tweet : 2434
Replies to : 467
Mentions : 1517
Retweet : 5739
MentionsInRetweet : 6529
Self-Loops : 2529
Reciprocated Vertex Pair Ratio : 0.00361803850626696
Reciprocated Edge Ratio : 0.00720999098751127
Connected Components : 2128
Single-Vertex Connected Components : 900
Maximum Vertices in a Connected Component : 1830
Maximum Edges in a Connected Component : 4148
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.778461
Graph Density : 0.000106360005132449
Modularity : 0.510133
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,546 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 Friday, 16 December 2022 at 08:15 UTC.
The requested start date was Friday, 16 December 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, 17-minute period from Tuesday, 13 December 2022 at 12:01 UTC to Thursday, 15 December 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-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:
[6232] covid,19 [402] secret,twitter [396] twitter,portal [395] uncovering,secret [395] following,#twitterfiles [395] documents,uncovering [395] portal,gov [395] afl,obtained [395] obtained,documents [395] #twitterfiles,afl Top Word Pairs in Tweet in G1:
[834] covid,19 [39] 19,pandemic [34] 19,vaccines [31] 19,vaccine [25] contra,covid [25] casos,covid [23] white,house [16] free,tests [16] pandemi,covid [16] 19,vaccination Top Word Pairs in Tweet in G2:
[984] covid,19 [157] importante,saber [157] enfermedad,causada [157] saber,covid [157] virus,deteriora [157] #entérate,importante [157] deteriora,nuestro [157] causada,virus [157] 19,enfermedad [157] nuestro,sistema Top Word Pairs in Tweet in G3:
[385] documents,uncovering [385] breaking,following [385] afl,obtained [385] secret,twitter [385] uncovering,secret [385] #twitterfiles,afl [385] following,#twitterfiles [385] obtained,documents [385] twitter,portal [384] america1stlegal,breaking Top Word Pairs in Tweet in G4:
[202] covid,19 [90] 19,vaccines [59] uncovered,twitter [59] twitter,blacklisting [59] twitter,files [59] big,tech [59] proof,big [59] blacklisting,drjbhattacharya [59] files,proof [59] drjbhattacharya,uncovered Top Word Pairs in Tweet in G5:
[424] covid,19 [212] 19,test [212] ภการ,จ [212] result,covid [212] ของ,ป [212] ก,ล [212] ยวก,บผลการตรวจ [212] ศ,ภการ [212] ล,announcement [212] 19,ของ Top Word Pairs in Tweet in G6:
[88] covid,19 [17] excess,mortality [15] andrew,bridgen [14] africa,made [12] access,immunization [12] immunization,covid [12] setbacks,vaccine [12] tremendous,gains [12] gains,toward [12] toward,access Top Word Pairs in Tweet in G7:
[102] covid,19 [85] 19,vaccine [84] american,lives [84] million,american [84] staggering,million [83] lives,saved [83] vaccine,despite [83] saved,covid [83] research,reveals [83] reveals,staggering Top Word Pairs in Tweet in G8:
[108] covid,19 [46] mélodie,feron [46] secondaires,concernent [46] 70,72 [46] feron,propos [46] vaccin,contre [46] 19,70 [46] concernent,femmes [46] contre,covid [46] propos,vaccin Top Word Pairs in Tweet in G9:
[59] covid,19 [36] traitement,précoce [18] marik,c'est [18] paul,marik [18] aboli,menace [18] 19,ce [18] scandale,traitement [18] aurait,aboli [18] c'est,scandale [18] dr,paul Top Word Pairs in Tweet in G10:
[96] covid,19 [22] 19,vaccines [21] 19,vaccine [13] mortality,rate [13] over,idea [13] freaking,over [13] show,mass [13] confident,covid [13] measurable,impact [13] vaccine,measurable Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: