The graph represents a network of 8,155 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, 16 October 2020 at 08:50 UTC.
The requested start date was Friday, 16 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, 13-hour, 23-minute period from Tuesday, 13 October 2020 at 10:34 UTC to Thursday, 15 October 2020 at 23:57 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 : 8155
Unique Edges : 4019
Edges With Duplicates : 11505
Total Edges : 15524
Number of Edge Types : 5
Replies to : 964
Mentions : 2194
Retweet : 5057
MentionsInRetweet : 5891
Tweet : 1418
Self-Loops : 1456
Reciprocated Vertex Pair Ratio : 0.00658561296859169
Reciprocated Edge Ratio : 0.0130850528434826
Connected Components : 1285
Single-Vertex Connected Components : 511
Maximum Vertices in a Connected Component : 3913
Maximum Edges in a Connected Component : 8974
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.095837
Graph Density : 0.000119526220199841
Modularity : 0.522285
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,155 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, 16 October 2020 at 08:50 UTC.
The requested start date was Friday, 16 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, 13-hour, 23-minute period from Tuesday, 13 October 2020 at 10:34 UTC to Thursday, 15 October 2020 at 23:57 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:
[1425] covid,19 [787] 2019,ncov [669] noves,mesures [602] increment,casos [589] mesures,aturar [587] aturar,increment [583] casos,covid [571] 19,catalunya [555] canal,salut [544] més,info Top Word Pairs in Tweet in G1:
[565] noves,mesures [535] increment,casos [534] mesures,aturar [534] covid,19 [530] aturar,increment [527] 19,catalunya [526] casos,covid [512] més,info [507] catalunya,més [506] canal,salut Top Word Pairs in Tweet in G2:
[216] lávate,manos [214] llegar,casa [212] cerca,puerta [212] limpia,objetos [212] objetos,hayas [212] hayas,usado [212] usado,fuera [211] casa,zapatos [211] zapatos,mejor [211] mejor,cerca Top Word Pairs in Tweet in G3:
[208] covid,19 [107] 2019,ncov [33] virus,isolates [33] isolates,2019 [32] quantified,virus [32] 2020,10 [31] ncov,currently [29] currently,available [29] coronavirus,covid [29] #coronavirus,#covid19 Top Word Pairs in Tweet in G4:
[148] covid,19 [90] slow,spread [88] #covidview,report [88] report,shows [87] racial,ethnic [87] latest,cdc [87] cdc,#covidview [86] shows,racial [86] ethnic,minorities [86] minorities,continue Top Word Pairs in Tweet in G5:
[125] slow,spread [116] help,slow [87] spread,#covid19 [75] covid,19 [75] #covid19,spread [75] spread,people [75] people,symptoms [75] symptoms,know [75] know,infected [75] infected,masks Top Word Pairs in Tweet in G6:
[152] 13,10 [149] #covid19,espagne [149] espagne,décès [149] décès,chiffres [149] chiffres,actualisés [149] actualisés,13 [149] 10,14 [149] 14,prédictions [149] prédictions,d'une [149] d'une,seconde Top Word Pairs in Tweet in G7:
[240] 2019,ncov [236] coronavirus,2019 [235] recomendaciones,población [235] población,acerca [235] acerca,coronavirus [235] ncov,organización [235] organización,mundial [235] mundial,salud [224] somos_ejercito,recomendaciones [18] salud,cóm Top Word Pairs in Tweet in G8:
[5] realdonaldtrump,cdc [4] realdonaldtrump,breitbartnews [4] breitbartnews,donald [4] donald,trump [4] trump,testing [4] testing,negative [4] negative,coronavirus [4] coronavirus,using [4] using,antigen [4] antigen,test Top Word Pairs in Tweet in G9:
[39] covid,19 [38] help,slow [38] slow,spread [35] aún,aislado [35] spread,covid [30] #wearamask,public [30] public,help [30] 19,sure [30] sure,wear [30] wear,right Top Word Pairs in Tweet in G10:
[191] #新型コロナウイルス,感染症情報 [188] ibaraki_kouhou,#新型コロナウイルス [74] 感染症情報,10月14日 [74] 10月14日,県内で新たに5名が同感染症に感染していることが判明しました [74] 県内で新たに5名が同感染症に感染していることが判明しました,また [74] また,同感染症患者で [74] 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 [74] 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 [74] お亡くなりになりました,なお [74] なお,退院等回復された方は10名です Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: