The graph represents a network of 7,526 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 Wednesday, 16 September 2020 at 08:49 UTC.
The requested start date was Wednesday, 16 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 4-day, 9-hour, 38-minute period from Friday, 11 September 2020 at 14:22 UTC to Wednesday, 16 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 : 7526
Unique Edges : 3116
Edges With Duplicates : 12697
Total Edges : 15813
Number of Edge Types : 5
Retweet : 5603
MentionsInRetweet : 6535
Tweet : 1320
Replies to : 659
Mentions : 1696
Self-Loops : 1340
Reciprocated Vertex Pair Ratio : 0.00565417488494412
Reciprocated Edge Ratio : 0.011244769874477
Connected Components : 1046
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 3677
Maximum Edges in a Connected Component : 9136
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.913042
Graph Density : 0.000135044580779985
Modularity : 0.483178
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,526 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 Wednesday, 16 September 2020 at 08:49 UTC.
The requested start date was Wednesday, 16 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 4-day, 9-hour, 38-minute period from Friday, 11 September 2020 at 14:22 UTC to Wednesday, 16 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:
[1494] covid,19 [722] slow,spread [700] spread,covid [670] help,slow [640] public,help [634] sure,wear [633] cdcgov,#wearamask [633] wear,right [633] right,way [632] 19,sure Top Word Pairs in Tweet in G1:
[706] covid,19 [620] slow,spread [605] help,slow [604] spread,covid [594] cdcgov,#wearamask [587] public,help [587] sure,wear [586] 19,sure [586] wear,right [586] right,way Top Word Pairs in Tweet in G2:
[232] datos,#covid19 [221] #covid19,españa [135] materiales,información [134] actualización,datos [131] sanidadgob,actualización [130] contacto,estrecho [129] información,#coronavirus [126] considera,contacto [126] estrecho,estar [126] estar,positivo Top Word Pairs in Tweet in G3:
[150] covid,19 [56] 2019,ncov [36] learn,more [23] spread,covid [20] slow,spread [18] wear,mask [16] social,distancing [15] coronavirus,2019 [14] protect,yourself [14] #covid19,#coronavirus Top Word Pairs in Tweet in G4:
[188] alumne,està [188] està,esperant [169] centre,educatiu [168] molt,important [168] important,alumne [168] esperant,resultats [168] resultats,pcr [168] pcr,pot [168] pot,assistir [168] assistir,centre Top Word Pairs in Tweet in G5:
[108] health,department [69] wash,hands [69] hands,watch [69] watch,distance [69] distance,stay [69] stay,feet [68] setting,#wearamask [68] #wearamask,wash [65] cdcemergency,remember [62] someone,health Top Word Pairs in Tweet in G6:
[111] 2019,ncov [110] recomendaciones,población [110] población,acerca [110] acerca,coronavirus [110] coronavirus,2019 [110] ncov,pueden [110] pueden,zapatos [110] zapatos,propagar [109] somos_ejercito,recomendaciones [15] preliminary,investigations Top Word Pairs in Tweet in G7:
[96] weekly,print [96] print,coronavirus [96] coronavirus,illness [96] illness,cli [96] cli,week [96] week,ending [96] ending,september [96] september,visits [95] kerpen,weekly [95] visits,match Top Word Pairs in Tweet in G8:
[13] 2019,ncov [10] 20200121,sitrep [10] sitrep,2019 [10] ncov,pdf [7] realdonaldtrump,20200121 [6] covid,19 [6] cdc,guidelines [5] many,elderly [5] elderly,dying [5] dying,makes Top Word Pairs in Tweet in G9:
[189] #新型コロナウイルス,感染症情報 [185] ibaraki_kouhou,#新型コロナウイルス [170] 新たに2名が同感染症に感染していることが確認されました,また [89] 感染症情報,9月14日 [89] 9月14日,新たに2名が同感染症に感染していることが確認されました [89] また,同感染症患者で [89] 同感染症患者で,県内の医療機関に入院されていた方が1名 [89] 県内の医療機関に入院されていた方が1名,お亡くなりになりました [89] お亡くなりになりました,なお [89] なお,退院等回復された方は6名です Top Word Pairs in Tweet in G10:
[153] balance,diario [153] diario,#covid_19 [153] septiembre,ministerio [153] ministerio,salud [153] salud,informa [153] informa,casos [153] casos,totales [151] hilo,balance [149] ministeriosalud,hilo [78] totales,confirmados Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: