The graph represents a network of 7,595 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, 18 September 2020 at 08:47 UTC.
The requested start date was Friday, 18 September 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 Tuesday, 15 September 2020 at 15:02 UTC to Friday, 18 September 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 : 7595
Unique Edges : 3151
Edges With Duplicates : 12600
Total Edges : 15751
Number of Edge Types : 5
Tweet : 1153
Replies to : 665
Mentions : 1384
Retweet : 5698
MentionsInRetweet : 6851
Self-Loops : 1174
Reciprocated Vertex Pair Ratio : 0.00444839857651246
Reciprocated Edge Ratio : 0.00885739592559787
Connected Components : 933
Single-Vertex Connected Components : 392
Maximum Vertices in a Connected Component : 4096
Maximum Edges in a Connected Component : 9623
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.041445
Graph Density : 0.000137023043901989
Modularity : 0.49571
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,595 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, 18 September 2020 at 08:47 UTC.
The requested start date was Friday, 18 September 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 Tuesday, 15 September 2020 at 15:02 UTC to Friday, 18 September 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:
[1093] covid,19 [853] slow,spread [835] help,slow [798] 2019,ncov [719] spread,#covid19 [674] #wearamask,help [635] cdcgov,#wearamask [557] help,protect [539] handle,ear [539] ear,loops Top Word Pairs in Tweet in G1:
[607] slow,spread [602] help,slow [584] cdcgov,#wearamask [483] spread,#covid19 [470] #wearamask,help [463] #covid19,removing [463] removing,mask [463] mask,handle [463] handle,ear [463] ear,loops Top Word Pairs in Tweet in G2:
[403] help,protect [402] #covid19,significant [402] significant,public [402] public,health [402] health,challenge [402] challenge,face [402] face,nation [402] nation,more [402] more,century [402] century,help Top Word Pairs in Tweet in G3:
[150] covid,19 [52] 2019,ncov [36] learn,more [22] spread,covid [20] wear,mask [18] slow,spread [15] coronavirus,2019 [14] protect,yourself [14] help,slow [14] social,distancing Top Word Pairs in Tweet in G4:
[459] 2019,ncov [458] recomendaciones,población [458] población,acerca [458] acerca,coronavirus [458] coronavirus,2019 [455] somos_ejercito,recomendaciones [174] ncov,ponerse [174] ponerse,mascarilla [173] mascarilla,par [151] ncov,organización Top Word Pairs in Tweet in G5:
[311] covid,19 [300] indicators,thresholds [300] thresholds,risk [300] risk,introduction [300] introduction,transmission [300] transmission,covid [300] 19,schools [299] cdc,releases [299] releases,epi [299] epi,indicators Top Word Pairs in Tweet in G6:
[222] datos,#covid19 [202] #covid19,españa [123] información,#coronavirus [122] actualización,datos [122] materiales,información [102] españa,materiales [100] españa,primer [100] primer,caso [100] caso,inicial [100] inicial,actualizados Top Word Pairs in Tweet in G7:
[303] virus,entiende [303] entiende,fronteras [303] fronteras,dicen [303] dicen,parto [303] parto,fuente [303] fuente,#ue [302] adprietopyc,virus Top Word Pairs in Tweet in G8:
[122] cdcemergency,#wearamask [108] help,protect [103] slow,spread [99] help,slow [97] spread,#covid19 [94] #wearamask,help [71] wash,hands [70] setting,#wearamask [70] #wearamask,wash [70] hands,watch Top Word Pairs in Tweet in G9:
[172] cdc,giving [172] giving,terrible [172] terrible,advice [172] advice,covid [172] covid,pregnant [172] pregnant,women [172] women,re [172] re,interacting [172] interacting,babies [172] babies,babies Top Word Pairs in Tweet in G10:
[69] alumne,està [69] està,esperant [66] covid,19 [62] centre,educatiu [61] important,alumne [61] esperant,resultats [61] resultats,pcr [61] pcr,pot [61] pot,assistir [61] assistir,centre Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: