The graph represents a network of 7,702 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 Friday, 23 October 2020 at 08:49 UTC.
The requested start date was Friday, 23 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, 12-hour, 50-minute period from Tuesday, 20 October 2020 at 11:10 UTC to Friday, 23 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 : 7702
Unique Edges : 3265
Edges With Duplicates : 12118
Total Edges : 15383
Number of Edge Types : 5
Replies to : 757
Mentions : 1940
Tweet : 1363
Retweet : 5321
MentionsInRetweet : 6002
Self-Loops : 1388
Reciprocated Vertex Pair Ratio : 0.00401983116709098
Reciprocated Edge Ratio : 0.00800747364206593
Connected Components : 1160
Single-Vertex Connected Components : 509
Maximum Vertices in a Connected Component : 3031
Maximum Edges in a Connected Component : 7165
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 4.649892
Graph Density : 0.000126329592406076
Modularity : 0.484178
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,702 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 Friday, 23 October 2020 at 08:49 UTC.
The requested start date was Friday, 23 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, 12-hour, 50-minute period from Tuesday, 20 October 2020 at 11:10 UTC to Friday, 23 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:
[873] covid,19 [597] wear,mask [552] spread,#covid19 [514] 2019,ncov [459] help,protect [443] #covid19,others [438] public,transportation [428] strongly,recommends [428] transportation,including [428] including,airplanes Top Word Pairs in Tweet in G1:
[473] wear,mask [449] spread,#covid19 [409] #covid19,others [370] public,transportation [370] airplanes,ships [369] strongly,recommends [369] transportation,including [369] including,airplanes [366] mask,traveling [366] traveling,public Top Word Pairs in Tweet in G3:
[183] datos,#covid19 [178] higiene,manos [113] actualización,datos [112] materiales,información [112] información,#coronavirus [110] #covid19,españa [108] sanidadgob,actualización [105] estado,contacto [97] puedes,hacer [97] hacer,protegerte Top Word Pairs in Tweet in G4:
[203] covid,19 [33] 2019,ncov [30] learn,more [28] close,contact [23] wear,mask [20] trick,treating [19] wash,hands [18] protect,yourself [14] cdc,guidelines [13] yourself,others Top Word Pairs in Tweet in G5:
[176] 2019,ncov [175] población,acerca [175] acerca,coronavirus [175] coronavirus,2019 [155] información,prevención [155] prevención,consejos [155] consejos,población [138] somos_ejercito,información [115] cdc,guidance [115] guidance,contact Top Word Pairs in Tweet in G6:
[102] protect,yourself [96] help,protect [82] yourself,others [75] slow,spread [73] during,#covid19 [68] planning,heading [68] heading,public [68] public,activity [68] activity,during [68] #covid19,three Top Word Pairs in Tweet in G7:
[5] 2019,ncov [4] realdonaldtrump,60minutes [4] covid,19 [3] hkrassenstein,realdonaldtrump [3] liarsalwayslie,jason_carrier [3] jason_carrier,truthsp3ak [3] truthsp3ak,alanbrunyee [3] alanbrunyee,neilnrockville [3] neilnrockville,raheemkassam [3] raheemkassam,realdonaldtrump Top Word Pairs in Tweet in G8:
[10] 2019,ncov [8] cdc,latest [8] latest,update [8] update,survival [8] survival,rates [8] rates,infected [8] infected,covid19 [8] covid19,19 [8] 19,99 [8] 99,997 Top Word Pairs in Tweet in G9:
[38] nova,eina [38] eina,digital [38] els,contactes [38] contactes,estrets [37] és,nova [36] digital,identificar [36] identificar,els [35] coneixes,és [35] estrets,#covid19 [35] #covid19,aïllar Top Word Pairs in Tweet in G10:
[114] hilo,balance [114] balance,diario [114] diario,#covid_19 [114] octubre,ministerio [114] ministerio,salud [114] salud,informa [114] informa,casos [114] casos,totales [112] ministeriosalud,hilo [73] #covid_19,miércoles Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G8:
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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 G7:
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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: