The graph represents a network of 11,724 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 Thursday, 21 January 2021 at 10:51 UTC.
The requested start date was Thursday, 21 January 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, 0-minute period from Monday, 18 January 2021 at 13:46 UTC to Wednesday, 20 January 2021 at 13:47 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 : 11724
Unique Edges : 6514
Edges With Duplicates : 11843
Total Edges : 18357
Number of Edge Types : 5
Retweet : 5467
MentionsInRetweet : 6376
Tweet : 3517
Replies to : 785
Mentions : 2212
Self-Loops : 3543
Reciprocated Vertex Pair Ratio : 0.0053167922020381
Reciprocated Edge Ratio : 0.0105773468488321
Connected Components : 3797
Single-Vertex Connected Components : 1074
Maximum Vertices in a Connected Component : 500
Maximum Edges in a Connected Component : 1399
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.689633
Graph Density : 6.60358713022859E-05
Modularity : 0.572323
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 11,724 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 Thursday, 21 January 2021 at 10:51 UTC.
The requested start date was Thursday, 21 January 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, 0-minute period from Monday, 18 January 2021 at 13:46 UTC to Wednesday, 20 January 2021 at 13:47 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:
[3387] covid,19 [591] contra,covid [314] น,covid [312] ช,นเคยบอกแล [312] นเคยบอกแล,วว [312] วว,าท [312] าท,กอย [312] กอย,างบนโลกเป [312] างบนโลกเป,นของอ [312] นของอ,จ Top Word Pairs in Tweet in G1:
[447] covid,19 [50] contra,covid [23] covid,vaccine [21] 19,vaccine [17] 400,000 [13] china,virus [11] covid,test [11] during,covid [10] 19,vaccines [9] vacuna,contra Top Word Pairs in Tweet in G2:
[292] covid,19 [150] fondo,humanitario [149] contra,covid [144] humanitario,banco [142] banco,medicinas [131] etiqueta,día [130] crea,fondo [117] #vacunasparalospueblos,crea [115] medicinas,través [106] día,#vacunasparalospueblos Top Word Pairs in Tweet in G3:
[312] ช,นเคยบอกแล [312] นเคยบอกแล,วว [312] วว,าท [312] าท,กอย [312] กอย,างบนโลกเป [312] างบนโลกเป,นของอ [312] นของอ,จ [312] จ,นหมดยกเว [312] นหมดยกเว,น [312] น,covid Top Word Pairs in Tweet in G4:
[78] dari,tujuh [78] tujuh,orang [78] orang,dekat [78] dekat,rumah [78] rumah,skrng [78] skrng,tinggal [78] tinggal,tiga [78] tiga,orang [78] orang,kakak [78] kakak,dengan Top Word Pairs in Tweet in G5:
[59] india,deeply [59] deeply,honoured [59] honoured,long [59] long,trusted [59] trusted,partner [59] partner,meeting [59] meeting,healthcare [59] healthcare,needs [59] needs,global [59] global,community Top Word Pairs in Tweet in G6:
[86] 400,000 [82] lost,covid [79] 000,americans [79] americans,ve [79] ve,lost [73] tonight,washington [73] washington,nation [73] nation,came [73] came,together [73] together,honor Top Word Pairs in Tweet in G7:
[9] sit,listen [9] listen,borisjohnson's [9] borisjohnson's,empty [9] empty,complacent [9] complacent,predictable [9] predictable,performance [9] performance,#pmqs [9] #pmqs,day [9] day,1610 [9] 1610,people Top Word Pairs in Tweet in G8:
[120] president,trump [86] yamiche,president [60] trump,left [60] left,field [60] field,expected [60] expected,president [60] trump,last [60] last,presidential [60] presidential,speech [60] speech,both Top Word Pairs in Tweet in G9:
[59] teacher,worked [59] worked,died [59] died,covid [59] covid,okay [59] okay,face [59] face,shield [59] shield,arrived [59] arrived,today [59] today,purchased [58] careese_laroque,teacher Top Word Pairs in Tweet in G10:
[22] covid,19 [17] contra,covid [8] muertos,covid [8] ssalud_mx,contestado [8] contestado,nada [8] nada,información [8] información,pedí [8] pedí,compra [8] compra,vacunas [8] vacunas,campaña Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: