The graph represents a network of 8,106 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 March 2021 at 11:18 UTC.
The requested start date was Saturday, 06 March 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 3-day, 22-hour, 28-minute period from Monday, 01 March 2021 at 15:08 UTC to Friday, 05 March 2021 at 13:36 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 : 8106
Unique Edges : 3884
Edges With Duplicates : 12614
Total Edges : 16498
Number of Edge Types : 5
Retweet : 5150
MentionsInRetweet : 6338
Tweet : 1447
Replies to : 938
Mentions : 2625
Self-Loops : 1482
Reciprocated Vertex Pair Ratio : 0.00630676084762866
Reciprocated Edge Ratio : 0.0125344697919278
Connected Components : 1295
Single-Vertex Connected Components : 465
Maximum Vertices in a Connected Component : 3899
Maximum Edges in a Connected Component : 10129
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.132245
Graph Density : 0.000121432353822646
Modularity : 0.489789
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 8,106 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 March 2021 at 11:18 UTC.
The requested start date was Saturday, 06 March 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 3-day, 22-hour, 28-minute period from Monday, 01 March 2021 at 15:08 UTC to Friday, 05 March 2021 at 13:36 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 : NCoV
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:
[1111] æ,æ [1073] covid,19 [857] ì,ì [798] æœ,æ [657] æ,ÿæÿ [585] ÿæÿ,ç [525] note,negative [525] negative,test [525] test,before [525] before,boarding Top Word Pairs in Tweet in G1:
[269] respiratory,droplets [268] improve,#mask [268] #mask,fits [268] fits,protects [268] protects,pick [268] pick,mask [268] mask,layers [268] layers,stop [268] stop,more [268] more,respiratory Top Word Pairs in Tweet in G2:
[524] note,negative [524] negative,test [524] test,before [524] before,boarding [524] boarding,flight [524] flight,reenter [523] dloesch,note Top Word Pairs in Tweet in G3:
[221] covid,19 [45] learn,more [43] ãƒ,ム[42] 19,vaccine [32] 2019,ncov [30] 19,vaccines [25] æ,ÿæÿ [24] åž,ム[22] ãƒ,ペã [22] ペã,ムTop Word Pairs in Tweet in G4:
[312] anti,inflammatory [312] inflammatory,drug [312] drug,hydroxychloroquine [312] hydroxychloroquine,used [312] used,prevent [312] prevent,infection [312] infection,people [312] people,#covid19 [311] #covid19,accordinâ [43] strong,recommendation Top Word Pairs in Tweet in G5:
[63] krisp_news,rjlessells [51] nextstrain,gisaid [48] datos,#covid19 [48] materiales,coronavirus [45] rjlessells,tuliodna [45] tuliodna,eduanwilkinson [36] thanks,#opendata [36] #opendata,sharing [36] sharing,gisaid [36] gisaid,we've Top Word Pairs in Tweet in G6:
[161] covid,19 [161] very,few [160] 19,presents [160] presents,high [160] high,risk [160] risk,very [160] few,negligible [160] negligible,risk [160] risk,many [160] many,infection Top Word Pairs in Tweet in G7:
[989] æ,æ [734] æœ,æ [532] æ,ÿæÿ [519] ÿæÿ,ç [272] åž,ム[270] ãƒ,ペã [270] ペã,ム[270] ãƒ,æ [260] æ,ç [260] ç,æ Top Word Pairs in Tweet in G8:
[94] guidance,schools [93] cdc,released [93] released,indoor [93] indoor,air [93] air,guidance [93] schools,#covid19 [93] #covid19,emphasize [93] windows,using [93] using,portable [60] drericding,hugeâ Top Word Pairs in Tweet in G9:
[54] datos,#covid19 [53] frente,#covid19 [51] contacto,estrecho [49] consulta,informe [49] informe,actividad [49] actividad,proceso [49] #covid19,hoy [49] dosis,distribuidas [46] saludpublicaes,consulta [43] primer,caso Top Word Pairs in Tweet in G10:
[10] healthy,person [10] person,age [10] age,wearing [10] wearing,global [10] global,face [10] face,propaganda [10] propaganda,period [10] period,source [10] source,ianmsc [9] more,effective Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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 G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: