The graph represents a network of 12,151 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, 13 January 2022 at 10:55 UTC.
The requested start date was Thursday, 13 January 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, 0-minute period from Monday, 10 January 2022 at 12:18 UTC to Wednesday, 12 January 2022 at 12:19 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 : 12151
Unique Edges : 6807
Edges With Duplicates : 11959
Total Edges : 18766
Number of Edge Types : 5
Retweet : 5442
MentionsInRetweet : 6217
Tweet : 3819
Replies to : 940
Mentions : 2348
Self-Loops : 3860
Reciprocated Vertex Pair Ratio : 0.00427256792287467
Reciprocated Edge Ratio : 0.00850878149885459
Connected Components : 3949
Single-Vertex Connected Components : 1052
Maximum Vertices in a Connected Component : 711
Maximum Edges in a Connected Component : 1584
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.895146
Graph Density : 6.20924694846366E-05
Modularity : 0.574354
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,151 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, 13 January 2022 at 10:55 UTC.
The requested start date was Thursday, 13 January 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, 0-minute period from Monday, 10 January 2022 at 12:18 UTC to Wednesday, 12 January 2022 at 12:19 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:
[1715] covid,19 [230] long,covid [163] positive,covid [143] covid,cases [136] covid,deaths [119] died,covid [118] contra,covid [107] boris,johnson [106] tested,positive [91] casos,covid Top Word Pairs in Tweet in G1:
[230] covid,19 [18] contra,covid [17] teste,covid [15] casos,covid [12] due,covid [12] positivo,covid [12] covid,cases [10] covid,positive [10] positive,covid [9] fazer,teste Top Word Pairs in Tweet in G2:
[46] covid,19 [23] र,य [16] क,द [15] र,ष [15] ष,ट [15] ट,र [14] covid,cases [13] upsc,aspirants [12] य,य [12] य,व Top Word Pairs in Tweet in G3:
[36] died,covid [34] according,cdc [28] four,comorbidities [24] covid,deaths [22] 75,covid [20] people,four [20] people,died [18] cdc,director [17] don,covid [17] vaxxed,people Top Word Pairs in Tweet in G4:
[21] européenne,médicament [16] enquête,stupéfiante [16] stupéfiante,camps [16] camps,covid [16] covid,isolement [16] isolement,chine [16] chine,où [16] où,personnes [16] personnes,suspectées [16] suspectées,être Top Word Pairs in Tweet in G5:
[19] covid,19 [12] covid,deaths [9] covid,vaccine [8] cdc,director [8] director,over [8] over,75 [8] 75,covid [8] deaths,occurred [8] occurred,people [8] people,four Top Word Pairs in Tweet in G6:
[11] watch,one [11] one,thing [11] thing,today [11] today,make [11] make,tearful [11] tearful,lyndsay [11] lyndsay,jackson [11] jackson,covidjusticeuk [11] covidjusticeuk,recalls [11] recalls,losing Top Word Pairs in Tweet in G7:
[16] covid,19 [12] variante,ómicron [8] doctormacias,covid [7] claudia,sheinbaum [7] sheinbaum,claudiashein [7] mentir,robar [7] ayuda,mucho [6] pruebas,covid [6] robar,traicionar [6] traicionar,pueblo Top Word Pairs in Tweet in G8:
[25] already,high [25] high,stakes [25] stakes,day [25] day,boris [25] boris,johnson [25] johnson,come [25] come,worse [25] worse,time [24] pippacrerar,already [14] ppe,contracts Top Word Pairs in Tweet in G9:
[20] patient,pulled [20] pulled,mask [20] mask,down [20] down,coughed [20] coughed,today [20] today,told [20] told,tested [20] tested,covid [19] thatgirl409,patient [19] covid,fami Top Word Pairs in Tweet in G10:
[27] diamond,harbour [20] positivity,rate [15] promise,continue [15] continue,efforts [15] efforts,towards [15] towards,bringing [15] bringing,down [15] down,positivity [15] rate,further [15] further,cutrrently Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: