The graph represents a network of 16,998 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 07 March 2020 at 00:47 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 54-minute period from Thursday, 05 March 2020 at 22:02 UTC to Friday, 06 March 2020 at 22:56 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 : 16998
Unique Edges : 17817
Edges With Duplicates : 4436
Total Edges : 22253
Number of Edge Types : 5
Retweet : 10221
MentionsInRetweet : 4364
Replies to : 1607
Mentions : 2367
Tweet : 3694
Self-Loops : 3752
Reciprocated Vertex Pair Ratio : 0.00405779280664002
Reciprocated Edge Ratio : 0.00808278733696651
Connected Components : 3392
Single-Vertex Connected Components : 1999
Maximum Vertices in a Connected Component : 9096
Maximum Edges in a Connected Component : 13308
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.164077
Graph Density : 5.65252744262096E-05
Modularity : 0.741654
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 16,998 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 07 March 2020 at 00:47 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 54-minute period from Thursday, 05 March 2020 at 22:02 UTC to Friday, 06 March 2020 at 22:56 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 : TwitterSearch
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:
[2162] covid,19 [1737] 2019,ncov [1117] stay,home [971] protect,yourself [776] cctip_io,airdrop [739] public,health [726] household,plan [718] #coronacoin,#coronatoken [681] more,#covid19 [663] wash,hands Top Word Pairs in Tweet in G1:
[825] stay,home [810] protect,yourself [624] household,plan [548] more,#covid19 [501] public,health [488] child,school [488] school,childcare [487] childcare,facility [477] 14,days [475] healthcare,provider Top Word Pairs in Tweet in G2:
[398] 2019,ncov [343] covid,19 [121] coronavirus,covid [109] sa,ncov [105] 19,2019 [87] novel,coronavirus [73] coronavirus,2019 [67] ng,ncov [60] disease,2019 [59] 2019,covid Top Word Pairs in Tweet in G3:
[572] #coronavirus,#ncov [322] san,juan [321] juan,city [315] confirmed,cases [310] one,cases [310] metro,manila [310] frequented,muslim [310] muslim,prayer [310] prayer,hall [303] breaking,news Top Word Pairs in Tweet in G4:
[113] alles,wichtige [113] kontinuierlich,aktualisiert [113] #coronavirus,#sarscov2 [108] wichtige,#covid19 [108] #covid19,fachöffentlichkeit [108] fachöffentlichkeit,steckbrief [108] steckbrief,übertragung [108] übertragung,inkub [108] inkub,zeit [108] zeit,verlauf Top Word Pairs in Tweet in G5:
[164] data,sharing [158] #covid19,#sarscov2 [108] we've,updated [85] washington,state [73] open,data [70] updated,#covid19 [70] gisaid,updated [69] rapid,data [66] travel,history [64] sharing,uwvirology Top Word Pairs in Tweet in G6:
[408] #coronavirus,#2019_ncov [408] #2019_ncov,#covid19 [408] #covid19,casos [408] casos,confirmados [408] confirmados,98 [408] 98,387 [408] 387,muertes [408] muertes,383 [408] 383,recuperados [408] recuperados,55 Top Word Pairs in Tweet in G7:
[185] #coronavirus,#covidー19 [136] #covid19,#covidー19 [105] positive,cases [105] patients,#coronavirus [94] italy,seeing [94] seeing,high [94] high,percentage [94] percentage,positive [94] cases,being [94] being,admitted Top Word Pairs in Tweet in G8:
[154] stay,home [140] home,sick [140] cover,cough [140] wash,hands [132] best,practices [132] practices,preventing [132] preventing,#coronavirus [132] #coronavirus,avoid [132] avoid,close [132] close,contact Top Word Pairs in Tweet in G9:
[776] cctip_io,airdrop [718] #coronacoin,#coronatoken [605] airdrop,150 [605] 150,ncov [605] ncov,150 [400] #coronatoken,cctip_io [317] frens,#coronacoin [217] altmarketsex,ncov [217] ncov,doge [217] doge,#coronacoin Top Word Pairs in Tweet in G10:
[118] novel,coronavirus [116] more,cases [115] cases,#covid19 [115] #covid19,identified [115] identified,specific [115] specific,locations [115] locations,affected [115] affected,communities [115] communities,take [115] take,actions Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 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: