The graph represents a network of 10,773 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 Sunday, 14 February 2021 at 08:25 UTC.
The requested start date was Sunday, 14 February 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 2-day, 0-hour, 2-minute period from Wednesday, 10 February 2021 at 13:42 UTC to Friday, 12 February 2021 at 13:44 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 : 10773
Unique Edges : 5712
Edges With Duplicates : 11935
Total Edges : 17647
Number of Edge Types : 5
Retweet : 5369
MentionsInRetweet : 6110
Tweet : 3601
Replies to : 385
Mentions : 2182
Self-Loops : 3643
Reciprocated Vertex Pair Ratio : 0.00769230769230769
Reciprocated Edge Ratio : 0.0152671755725191
Connected Components : 3406
Single-Vertex Connected Components : 1177
Maximum Vertices in a Connected Component : 494
Maximum Edges in a Connected Component : 985
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.519618
Graph Density : 7.11178863112727E-05
Modularity : 0.546084
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 10,773 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 Sunday, 14 February 2021 at 08:25 UTC.
The requested start date was Sunday, 14 February 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 2-day, 0-hour, 2-minute period from Wednesday, 10 February 2021 at 13:42 UTC to Friday, 12 February 2021 at 13:44 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:
[6939] covid,19 [586] contra,covid [400] 19,vaccine [199] 19,vaccines [157] 19,pandemic [110] 2020,covid [109] china,destroyed [109] destroyed,2020 [109] 19,again [109] again,2021 Top Word Pairs in Tweet in G1:
[998] covid,19 [66] contra,covid [65] 19,vaccine [22] 19,vaccination [20] 19,pandemic [18] #covid,19 [16] during,covid [15] 19,cases [15] 19,vaccines [15] against,covid Top Word Pairs in Tweet in G2:
[326] covid,19 [96] contra,covid [50] 19,venezuela [47] coronavirus,covid [43] batalla,salud [43] salud,vida [43] vida,contra [42] salud,tuyos [41] 19,salud [40] tuyos,ten Top Word Pairs in Tweet in G3:
[136] covid,19 [38] seule,dose [32] below,one [32] one,first [32] first,time [32] time,july [31] personnes,ayant [31] ayant,déjà [21] skynews,covid [21] haute,autorité Top Word Pairs in Tweet in G4:
[86] covid,19 [25] ap,norc [25] norc,poll [21] 19,vaccine [15] variant,california [15] california,variant [15] variant,cal20c [15] cal20c,recently [15] recently,found [15] found,over Top Word Pairs in Tweet in G5:
[56] covid,19 [40] old,enough [40] enough,remember [40] remember,biden [40] biden,called [40] called,covid [40] 19,travel [40] travel,ban [40] ban,china [40] china,xenophobic Top Word Pairs in Tweet in G6:
[104] covid,19 [43] contra,covid [27] estados,unidos [25] millón,dosis [25] dosis,iniciales [25] iniciales,farmacias [25] farmacias,estados [25] unidos,comenzarán [25] comenzarán,vacunar [25] vacunar,contra Top Word Pairs in Tweet in G7:
[21] covid,19 [12] #covid19,vaccination [12] sole,sourced [10] sourced,consulting [10] consulting,contract [10] contract,deloitte [10] deloitte,support [9] provincial,failures [9] failures,continue [9] continue,months Top Word Pairs in Tweet in G8:
[70] covid,19 [60] china,destroyed [60] destroyed,2020 [60] 2020,covid [60] 19,again [60] again,2021 [60] 2021,teaming [60] teaming,junta [49] poemamhethar,china [49] junta,myanma Top Word Pairs in Tweet in G9:
[55] covid,19 [11] 19,vaccine [8] 70,jorge [8] jorge,pérez [8] pérez,despedido [8] despedido,limpiador [8] limpiador,hospital [8] hospital,20 [8] 20,noviembre [8] noviembre,exigir Top Word Pairs in Tweet in G10:
[23] covid,19 [5] everyone,#covid19 [5] #covid19,shows [5] shows,symptoms [5] symptoms,#stayathome [5] #stayathome,stop [5] stop,spread [5] spread,#coronavirus [5] #coronavirus,remember [5] remember,keep Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: