The graph represents a network of 19,099 Twitter users whose recent tweets contained "Coronavirus", 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 Sunday, 09 February 2020 at 15:26 UTC.
The tweets in the network were tweeted over the 31-minute period from Sunday, 09 February 2020 at 13:57 UTC to Sunday, 09 February 2020 at 14:29 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 : 19099
Unique Edges : 21301
Edges With Duplicates : 3807
Total Edges : 25108
Number of Edge Types : 5
Retweet : 12981
Tweet : 5697
Replies to : 1030
MentionsInRetweet : 2827
Mentions : 2573
Self-Loops : 5779
Reciprocated Vertex Pair Ratio : 0.00142669007901668
Reciprocated Edge Ratio : 0.00284931506849315
Connected Components : 3694
Single-Vertex Connected Components : 1685
Maximum Vertices in a Connected Component : 10741
Maximum Edges in a Connected Component : 16076
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.605614
Graph Density : 5.0033899406179E-05
Modularity : 0.777255
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 19,099 Twitter users whose recent tweets contained "Coronavirus", 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 Sunday, 09 February 2020 at 15:26 UTC.
The tweets in the network were tweeted over the 31-minute period from Sunday, 09 February 2020 at 13:57 UTC to Sunday, 09 February 2020 at 14:29 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 : Coronavirus
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:
[827] next,few [824] over,next [823] few,months [823] cancel,tour [822] coronavirus,gets [822] gets,worse [822] worse,over [822] months,bts [822] bts,cancel [822] tour,svt Top Word Pairs in Tweet in G1:
[82] cruise,ship [62] coronavirus,outbreak [46] death,toll [39] caso,coronavirus [35] coronavirus,china [34] insurance,firms [34] use,blockchain [33] coronavirus,claims [33] hong,kong [32] chinese,insurance Top Word Pairs in Tweet in G2:
[194] hong,kong [120] coronavirus,outbreak [84] global,health [76] communist,party [72] death,toll [70] world,health [70] health,organization [65] li,wenliang [63] sars,epidemic [60] coronavirus,death Top Word Pairs in Tweet in G3:
[813] coronavirus,gets [813] gets,worse [813] worse,over [813] over,next [813] next,few [813] few,months [813] months,bts [813] bts,cancel [813] cancel,tour [813] tour,svt Top Word Pairs in Tweet in G4:
[177] 50,000 [144] million,people [117] infected,#coronavirus [109] #coronavirus,50 [108] million,chinese [108] chinese,infected [108] 000,cremated [97] china,#coronavirus [76] quarantine,zone [73] guo,wengui Top Word Pairs in Tweet in G5:
[103] #coronavirus,mallorca [71] segundo,caso [68] caso,#coronavirus [67] nuevo,coronavirus [65] españa,confirma [65] confirma,segundo [65] caso,nuevo [65] coronavirus,británico [65] británico,residente [65] residente,mallorca Top Word Pairs in Tweet in G6:
[97] cruise,ship [75] #coronavirus,cases [71] singapore,confirms [70] critical,condition [68] confirms,#coronavirus [68] cases,patients [68] patients,critical [60] coronavirus,thousands [60] thousands,cruise [60] ship,allowed Top Word Pairs in Tweet in G7:
[32] dénonce,défaillance [31] dioxyde,souffre [25] haute,savoie [23] épidémie,#coronavirus [23] par,jour [23] par,#coronavirus [23] aux,contamines [23] ont,été [22] c'est,totalement [21] 1200,corps Top Word Pairs in Tweet in G8:
[174] imask,active [174] active,coronavirus [174] coronavirus,cancellation [174] cancellation,starting [174] starting,rm5k [135] drone,shots [135] shots,wuhan [135] wuhan,literally [135] literally,ghost [135] ghost,town Top Word Pairs in Tweet in G9:
[101] aún,misterio [101] misterio,sustancia [101] sustancia,cual [101] cual,régimen [101] régimen,chino [101] chino,fumiga [101] fumiga,#coronavirus [101] #coronavirus,transmite [101] transmite,personas [101] personas,aire Top Word Pairs in Tweet in G10:
[91] 800,víctimas [85] muertos,coronavirus [83] coronavirus,sars [83] sars,800 [83] víctimas,mortales [83] mortales,coronavirus [83] coronavirus,segado [83] segado,vidas [83] vidas,sars [83] sars,cifra 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 G6:
Top Replied-To in G7:
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 G6:
Top Mentioned in G7:
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: