The graph represents a network of 8,584 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 Wednesday, 21 December 2022 at 08:15 UTC.
The requested start date was Wednesday, 21 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, 20-minute period from Sunday, 18 December 2022 at 11:57 UTC to Tuesday, 20 December 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 : 8584
Unique Edges : 3885
Edges With Duplicates : 12539
Total Edges : 16424
Number of Edge Types : 5
Retweet : 5706
MentionsInRetweet : 6406
Tweet : 2443
Mentions : 1378
Replies to : 491
Self-Loops : 2505
Reciprocated Vertex Pair Ratio : 0.00388011774150388
Reciprocated Edge Ratio : 0.0077302412368386
Connected Components : 2069
Single-Vertex Connected Components : 854
Maximum Vertices in a Connected Component : 3106
Maximum Edges in a Connected Component : 7574
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 11.09625
Graph Density : 0.000101837123797133
Modularity : 0.50494
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,584 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 Wednesday, 21 December 2022 at 08:15 UTC.
The requested start date was Wednesday, 21 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, 20-minute period from Sunday, 18 December 2022 at 11:57 UTC to Tuesday, 20 December 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:
[5413] covid,19 [594] linked,blood [594] vaccine,linked [593] blood,clotting [499] 19,vaccine [477] contra,covid [320] pfizer,covid [288] 19,experimental [288] fda,admitted [288] admitted,covid Top Word Pairs in Tweet in G1:
[728] covid,19 [32] contra,covid [24] 19,vaccine [23] 19,pandemic [22] casos,covid [17] #covid,19 [16] 24,horas [16] 19,vaccines [15] #,# [14] 19,vaccination Top Word Pairs in Tweet in G2:
[538] covid,19 [154] mascarilla,vacunas [154] combinación,mascarilla [154] mejor,combinación [154] 19,mejor [134] combate,covid [134] consciente,cuídate [134] vacunas,sé [134] sé,consciente [131] contra,covid Top Word Pairs in Tweet in G3:
[292] covid,19 [277] vaccine,linked [277] blood,clotting [277] linked,blood [273] experimental,vaccine [273] clotting,right [273] fda,admitted [273] breaking,fda [273] admitted,covid [273] 19,experimental Top Word Pairs in Tweet in G4:
[137] covid,19 [69] 19,vaccine [37] side,effects [37] blood,clots [30] pfizer,covid [30] dr,peter [30] peter,mccullough [29] effects,hear [29] vaccine,side [28] john,leake Top Word Pairs in Tweet in G5:
[154] covid,19 [149] breaking,report [147] chuckcallesto,breaking [140] vaccine,linked [140] blood,clotting [140] linked,blood [138] fda,pfizer [138] 19,vaccine [138] pfizer,covid [138] report,fda Top Word Pairs in Tweet in G6:
[78] covid,19 [60] media,trying [60] breaking,media [60] affairs,health [60] trying,hide [60] exton,director [60] parliamentary,affairs [60] hide,adam [60] adam,exton [60] director,parliamentary Top Word Pairs in Tweet in G7:
[118] covid,19 [97] 1500,positive [97] derek,knauss [97] positive,clients [97] clients,each [97] dr,derek [97] positive,covid [97] knauss,tested [97] each,everyone [97] everyone,influenza Top Word Pairs in Tweet in G8:
[49] covid,19 [13] vaccin,covid [12] 19,patients [12] rendre,travail [12] stratégie,sanitaire [12] habitants,peuvent [12] sanitaire,chine [12] revirement,spectaculaire [12] désormais,rendre [12] chine,habitants Top Word Pairs in Tweet in G9:
[44] contra,covid [40] covid,19 [37] reconhece,jack [37] jack,last [37] news,garota [37] garota,recado [37] bbc,news [37] morreu,coágulo [37] recado,globalistas [37] sanguíneo,cérebro Top Word Pairs in Tweet in G10:
[186] contact,tracing [103] sun,bulacan [103] covid,19 [102] 19,contact [95] _deardarlings,covid [78] ㅡ,sun [78] reports,ㅡ [78] tracing,reports [42] tracing,form [42] please,refer Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: