The graph represents a network of 18,905 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 Wednesday, 12 February 2020 at 14:59 UTC.
The tweets in the network were tweeted over the 32-minute period from Wednesday, 12 February 2020 at 13:36 UTC to Wednesday, 12 February 2020 at 14:08 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 : 18905
Unique Edges : 20656
Edges With Duplicates : 3782
Total Edges : 24438
Number of Edge Types : 5
Retweet : 11219
Tweet : 6441
MentionsInRetweet : 3265
Replies to : 1006
Mentions : 2507
Self-Loops : 6502
Reciprocated Vertex Pair Ratio : 0.00164812525751957
Reciprocated Edge Ratio : 0.00329082682023859
Connected Components : 4600
Single-Vertex Connected Components : 2305
Maximum Vertices in a Connected Component : 9249
Maximum Edges in a Connected Component : 14099
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.373593
Graph Density : 4.76159669989478E-05
Modularity : 0.760591
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 18,905 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 Wednesday, 12 February 2020 at 14:59 UTC.
The tweets in the network were tweeted over the 32-minute period from Wednesday, 12 February 2020 at 13:36 UTC to Wednesday, 12 February 2020 at 14:08 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:
[1066] drunk,drivers [981] coronavirus,outbreak [803] covid,19 [592] cruise,ship [567] more,people [545] people,coronavirus [540] more,afraid [534] coronavirus,malaysia [533] drivers,kill [533] kill,more Top Word Pairs in Tweet in G1:
[121] coronavirus,outbreak [98] covid,19 [84] grand,prix [64] chinese,grand [56] prix,postponed [55] due,coronavirus [52] novel,coronavirus [51] cruise,ship [51] gran,premio [49] postponed,due Top Word Pairs in Tweet in G2:
[270] coronavirus,outbreak [217] hong,kong [200] hong,kong's [197] postponed,due [152] due,coronavirus [138] outbreak,f1 [138] f1,fia [138] fia,accepted [138] accepted,request [138] request,promoter Top Word Pairs in Tweet in G3:
[1062] drunk,drivers [531] drivers,kill [531] kill,more [531] more,people [531] people,coronavirus [531] coronavirus,malaysia [531] malaysia,more [531] more,afraid [531] afraid,drunk [531] drivers,coronavirus Top Word Pairs in Tweet in G4:
[130] #coronavirus,#covid19 [91] #武汉肺炎,#新冠肺炎 [89] #coronavirusoutbreak,#coronavirus [80] mom,many [80] many,bodies [76] child,screaming [76] screaming,shooting [76] shooting,mom [76] bodies,many [76] many,mom Top Word Pairs in Tweet in G5:
[93] novel,#coronavirus [82] nw,china's [82] china's,xinjiang [70] hospital,#wuhan [70] makeshift,hospital [68] doctor's,talent [68] talent,doctor [68] doctor,nw [68] xinjiang,makeshift [68] #wuhan,asked Top Word Pairs in Tweet in G6:
[83] #coronavirus,#wuhan [79] remember,flu [79] flu,fearmonger [79] fearmonger,ask [79] ask,questions [79] questions,#coronavirus [46] steve,walsh [38] discharged,hospital [34] due,coronavirus [31] read,more Top Word Pairs in Tweet in G7:
[42] héberger,français [42] prêter,ses [40] où,héberger [40] français,quarantaine [40] quarantaine,leur [40] leur,retour [40] retour,wuhan [40] wuhan,épicentre [40] épicentre,#coronavirus [40] #coronavirus,sollicitée Top Word Pairs in Tweet in G8:
[139] threat,seriously [138] government,taking [133] sense,government [133] taking,threat [133] seriously,timely [133] timely,action [133] action,critical [130] extremely,serious [130] serious,threat [130] threat,people Top Word Pairs in Tweet in G9:
[199] #jhope,fans [199] ho,seok [199] #coronavirus,bts_twt [199] bts_twt,#jhopebirthday [183] used,help [182] name,#jhope [182] fans,pop [182] pop,group [182] group,#bts's [182] #bts's,member Top Word Pairs in Tweet in G10:
[70] cae,unas [70] unas,escaleras [48] #coronavirus,outbreak [38] fight,#coronavirus [37] brote,#coronavirus [35] policía,exhausto [35] exhausto,cae [35] escaleras,china [35] china,imágenes [35] imágenes,muestran Top Replied-To in Entire Graph:
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 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 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: