The graph represents a network of 10,370 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 Thursday, 28 October 2021 at 07:23 UTC.
The requested start date was Thursday, 28 October 2021 at 00:01 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, 6-minute period from Monday, 25 October 2021 at 12:11 UTC to Wednesday, 27 October 2021 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 : 10370
Unique Edges : 5661
Edges With Duplicates : 11720
Total Edges : 17381
Number of Edge Types : 5
Retweet : 5127
MentionsInRetweet : 6008
Tweet : 3620
Mentions : 2143
Replies to : 483
Self-Loops : 3670
Reciprocated Vertex Pair Ratio : 0.00807553733383029
Reciprocated Edge Ratio : 0.0160216909046093
Connected Components : 3311
Single-Vertex Connected Components : 1239
Maximum Vertices in a Connected Component : 557
Maximum Edges in a Connected Component : 1335
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.002102
Graph Density : 7.54604468311216E-05
Modularity : 0.544182
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,370 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 Thursday, 28 October 2021 at 07:23 UTC.
The requested start date was Thursday, 28 October 2021 at 00:01 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, 6-minute period from Monday, 25 October 2021 at 12:11 UTC to Wednesday, 27 October 2021 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:
[6429] covid,19 [492] contra,covid [392] 19,vaccine [289] 19,pandemic [209] during,covid [153] 19,vaccines [140] german,living [140] living,proudly [140] proudly,malaysia [140] malaysia,knowing Top Word Pairs in Tweet in G1:
[1116] covid,19 [74] contra,covid [66] 19,vaccine [37] 19,vaccines [30] 19,pandemic [27] 19,cases [26] 19,booster [22] от,covid [20] booster,shots [19] #covid,19 Top Word Pairs in Tweet in G2:
[186] covid,19 [77] contra,covid [54] pueblo,venezolano [43] lucha,contra [34] medidas,bioseguridad [29] nuevos,contagios [29] prevención,clave [26] contagio,covid [25] gobierno,bolivariano [25] cuidémonos,prevención Top Word Pairs in Tweet in G3:
[73] covid,19 [48] excess,deaths [45] deaths,home [43] 935,excess [43] home,latest [43] latest,week [43] week,ons [43] ons,released [43] released,47 [43] 47,covid Top Word Pairs in Tweet in G4:
[159] covid,19 [140] german,living [140] living,proudly [140] proudly,malaysia [140] malaysia,knowing [140] knowing,country [140] country,went [140] went,during [140] during,covid [140] 19,pandemic Top Word Pairs in Tweet in G5:
[120] covid,19 [22] epidémica,covid [21] etapa,epidémica [21] 19,llegar [21] llegar,fin [21] fin,pronto [21] pronto,muchos [21] muchos,países [21] países,significaría [21] significaría,entrada Top Word Pairs in Tweet in G6:
[148] covid,19 [22] 19,vaccine [20] 19,cases [17] president,jair [17] jair,bolsonaro [9] portugal,learning [9] learning,live [9] live,virus [9] virus,being [9] being,watched Top Word Pairs in Tweet in G7:
[61] covid,19 [27] dido,harding [27] harding,test [27] test,trace [27] trace,achieved [27] achieved,main [27] main,objective [27] objective,help [27] help,break [27] break,chains Top Word Pairs in Tweet in G8:
[97] covid,19 [38] based,cdc [38] cdc,data [38] data,children [38] children,lt [38] lt,12 [38] 12,years [38] years,age [38] age,143 [38] 143,covid Top Word Pairs in Tweet in G9:
[72] covid,19 [22] unvaccinated,people [22] people,more [22] more,lose [22] lose,livelihoods [22] livelihoods,lose [22] lose,lives [22] lives,due [22] due,covid [21] robber_baron_,unvaccinated Top Word Pairs in Tweet in G10:
[29] covid,19 [6] cmofficeup,myogiadityanath [6] myogiadityanath,hon [6] hon,sir [6] sir,best [6] best,regards [6] regards,gentle [6] gentle,reminder [6] reminder,covid [6] 19,related 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 G7:
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Top Tweeters in G10: