The graph represents a network of 7,600 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 Sunday, 25 October 2020 at 08:39 UTC.
The requested start date was Sunday, 25 October 2020 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, 8-hour, 58-minute period from Thursday, 22 October 2020 at 15:02 UTC to Sunday, 25 October 2020 at 00:00 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 : 7600
Unique Edges : 2428
Edges With Duplicates : 12396
Total Edges : 14824
Number of Edge Types : 5
Tweet : 1223
Retweet : 5629
MentionsInRetweet : 6089
Mentions : 1245
Replies to : 638
Self-Loops : 1250
Reciprocated Vertex Pair Ratio : 0.00306492059069379
Reciprocated Edge Ratio : 0.00611111111111111
Connected Components : 981
Single-Vertex Connected Components : 430
Maximum Vertices in a Connected Component : 3887
Maximum Edges in a Connected Component : 8707
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.549591
Graph Density : 0.000124670143578449
Modularity : 0.492951
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,600 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 Sunday, 25 October 2020 at 08:39 UTC.
The requested start date was Sunday, 25 October 2020 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, 8-hour, 58-minute period from Thursday, 22 October 2020 at 15:02 UTC to Sunday, 25 October 2020 at 00:00 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:
[1203] covid,19 [602] 100,000 [571] 14,días [568] 000,habitantes [565] sánchez,habla [565] habla,bajar [565] bajar,incidencia [565] incidencia,25 [565] 25,casos [565] casos,14 Top Word Pairs in Tweet in G2:
[560] sánchez,habla [560] habla,bajar [560] bajar,incidencia [560] incidencia,25 [560] 25,casos [560] casos,14 [560] 14,días [560] días,100 [560] 100,000 [560] 000,habitantes Top Word Pairs in Tweet in G3:
[111] stay,feet [110] feet,apart [105] #vote,november [105] november,check [105] check,updated [105] updated,voting [105] voting,locations [105] avoid,crowds [105] crowds,stay [104] cdcgov,#vote Top Word Pairs in Tweet in G4:
[498] 15,minutos [497] cdc,redefinen [497] redefinen,contacto [497] contacto,cercano [497] cercano,covid [497] covid,19 [497] 19,estar [497] estar,persona [497] persona,infectada [497] infectada,15 Top Word Pairs in Tweet in G5:
[157] covid,19 [39] 2019,ncov [28] learn,more [19] close,contact [17] wear,mask [16] trick,treating [15] wash,hands [14] sars,cov [13] cdc,guidelines [12] spread,covid Top Word Pairs in Tweet in G6:
[149] datos,#covid19 [108] tienes,síntomas [107] síntomas,#covid19 [105] quédate,casa [105] casa,tienes [104] #covid19,quédate [104] tienes,sensación [104] sensación,falta [104] falta,aire [104] aire,sensación Top Word Pairs in Tweet in G7:
[117] slow,spread [115] help,slow [111] wear,mask [102] cdcemergency,#wearamask [97] strongly,recommends [97] recommends,everyone [97] everyone,wear [97] mask,traveling [97] traveling,public [97] public,transportation Top Word Pairs in Tweet in G8:
[242] weeks,ago [241] test,positivity [241] positivity,increasing [241] increasing,age [241] age,groups [241] groups,positivity [241] positivity,gt [241] gt,65s [241] 65s,increased [241] increased,44 Top Word Pairs in Tweet in G9:
[118] infection,fatality [118] fatality,rate [118] rate,age [118] age,covid19 [118] covid19,influenza [118] influenza,19 [118] 19,003 [118] 003,19 [118] 19,01 [117] markchangizi,infection Top Word Pairs in Tweet in G10:
[42] totes,famílies [42] famílies,d'infants [42] d'infants,aïllats [42] aïllats,#covid19 [42] #covid19,l'#escola [42] l'#escola,fer [42] fer,quarantena [42] quarantena,només [42] només,l'han [42] l'han,complir Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
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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 G5:
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 G10: