The graph represents a network of 12,329 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, 14 January 2021 at 10:56 UTC.
The requested start date was Thursday, 14 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, 11 January 2021 at 13:46 UTC to Wednesday, 13 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 : 12329
Unique Edges : 7361
Edges With Duplicates : 11442
Total Edges : 18803
Number of Edge Types : 5
Retweet : 5269
MentionsInRetweet : 6274
Tweet : 3697
Replies to : 952
Mentions : 2611
Self-Loops : 3732
Reciprocated Vertex Pair Ratio : 0.00602027883396705
Reciprocated Edge Ratio : 0.0119685039370079
Connected Components : 4093
Single-Vertex Connected Components : 1116
Maximum Vertices in a Connected Component : 906
Maximum Edges in a Connected Component : 1763
Maximum Geodesic Distance (Diameter) : 39
Average Geodesic Distance : 10.25058
Graph Density : 6.26678082712717E-05
Modularity : 0.589187
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 12,329 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, 14 January 2021 at 10:56 UTC.
The requested start date was Thursday, 14 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, 11 January 2021 at 13:46 UTC to Wednesday, 13 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:
[3596] covid,19 [475] contra,covid [309] positive,covid [233] 19,vaccine [178] 19,test [177] locked,down [175] being,locked [173] result,being [170] covid,vaccine [158] received,positive Top Word Pairs in Tweet in G1:
[459] covid,19 [30] contra,covid [28] covid,vaccine [24] 19,vaccine [24] casos,covid [15] positive,covid [12] 19,pandemic [12] covid,test [12] vaksin,covid [11] covid,cases Top Word Pairs in Tweet in G2:
[175] covid,19 [170] being,locked [170] locked,down [168] result,being [165] positive,covid [152] received,positive [152] 19,test [152] test,result [152] down,secured [152] secured,room Top Word Pairs in Tweet in G3:
[221] covid,19 [125] contra,covid [73] batalla,contra [68] dando,batalla [60] #flexibilizaciónsegura,venezuela [58] venezuela,continúa [58] continúa,dando [53] etiqueta,día [52] día,#flexibilizaciónsegura [44] #11ene,etiqueta Top Word Pairs in Tweet in G4:
[29] covid,19 [10] covid,vaccine [10] class,9th [10] 9th,11th [10] 19,vaccine [9] take,responsibility [8] responsibility,class [8] 11th,students [8] students,infected [8] infected,covid Top Word Pairs in Tweet in G5:
[104] covid,19 [43] 19,recoveries [43] recoveries,far [43] far,more [43] more,common [43] common,covid [43] 19,deaths [43] deaths,media [43] media,makes [43] makes,seem Top Word Pairs in Tweet in G6:
[61] covid,19 [14] white,house [9] sarasidnercnn,annamajacnn [8] 000,people [8] people,world [8] world,speak [8] speak,cherokee [8] cherokee,language [8] language,fluently [8] fluently,covid Top Word Pairs in Tweet in G7:
[12] covid,19 [11] biggest,mistake [11] mistake,uk [11] uk,made [11] made,continues [11] continues,make [11] make,seeing [11] seeing,covid [11] covid,flu [11] flu,become Top Word Pairs in Tweet in G8:
[28] covid,19 [10] folks,received [10] received,second [10] second,dose [10] dose,covid [10] 19,vaccine [10] vaccine,first [10] first,dose [10] dose,safe [10] safe,quick Top Word Pairs in Tweet in G9:
[29] covid,19 [24] address,nation [21] president,ramaphosa [21] ramaphosa,address [21] nation,developments [21] developments,sa [21] sa,covid [21] 19,response [18] response,president [18] president,cyrilramaphosa Top Word Pairs in Tweet in G10:
[18] covid,19 [8] contra,covid [6] nueva,cepa [6] cepa,covid [5] vacunas,contra [5] mensaje,mandó [5] mandó,prima [5] prima,doctora [5] doctora,trabaja [5] trabaja,hospital Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
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: