The graph represents a network of 16,141 Twitter users whose recent tweets contained "@WHO", 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 Monday, 09 March 2020 at 21:30 UTC.
The tweets in the network were tweeted over the 4-hour, 1-minute period from Monday, 09 March 2020 at 14:35 UTC to Monday, 09 March 2020 at 18:36 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 : 16141
Unique Edges : 29556
Edges With Duplicates : 15087
Total Edges : 44643
Number of Edge Types : 5
Replies to : 5086
Mentions : 16771
Retweet : 612
MentionsInRetweet : 22124
Tweet : 50
Self-Loops : 52
Reciprocated Vertex Pair Ratio : 0.00765567016334044
Reciprocated Edge Ratio : 0.0151950123241989
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 16140
Maximum Edges in a Connected Component : 44642
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.532956
Graph Density : 0.000132372040169243
Modularity : 0.505439
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 16,141 Twitter users whose recent tweets contained "@WHO", 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 Monday, 09 March 2020 at 21:30 UTC.
The tweets in the network were tweeted over the 4-hour, 1-minute period from Monday, 09 March 2020 at 14:35 UTC to Monday, 09 March 2020 at 18:36 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 : @WHO
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:
[2374] drtedros,#coronavirus [1943] #covid19,cases [1378] drtedros,#covid19 [1260] threat,pandemic [1219] briefing,#covid19 [1189] #covid19,drtedros [1144] become,very [1129] pandemic,become [1120] mercy,virus [1067] media,briefing Top Word Pairs in Tweet in G1:
[1033] #covid19,cases [892] 16,00 [892] 00,cet [888] cases,mar [888] mar,16 [795] talking,#wuhanvirus [793] use,inclusive [793] inclusive,language [793] language,talking [793] #wuhanvirus,thought Top Word Pairs in Tweet in G2:
[2027] drtedros,#coronavirus [1209] drtedros,#covid19 [1090] briefing,#covid19 [1084] #covid19,drtedros [980] media,briefing [971] live,daily [971] daily,media [756] #covid19,cases [718] threat,pandemic [715] become,very Top Word Pairs in Tweet in G3:
[492] cdcgov,cdcemergency [466] massdph,healthyboston [466] healthyboston,cdcgov [357] aylward,lead [342] dr,bruce [342] bruce,aylward [340] thread,articles [340] articles,read [340] read,week [340] week,#covid19 Top Word Pairs in Tweet in G4:
[85] drtedros,#coronavirus [83] whoafro,whosearo [75] briefing,mar [71] more,70 [71] 70,cases [71] cases,reported [70] #china,more [70] #covid19,briefing [66] whosearo,whowpro [65] mvankerkhove,more Top Word Pairs in Tweet in G5:
[182] #acc20,#wccardio [180] due,cdc [180] cdc,#covid19 [180] #covid19,reports [180] reports,best [180] best,interest [180] interest,attendees [180] attendees,#cvd [180] #cvd,patients [180] patients,serve Top Word Pairs in Tweet in G6:
[21] #covid19,cases [17] community,transmission [17] cmo_england,dhscgovuk [17] dhscgovuk,phe_uk [17] phe_uk,drtedros [17] drtedros,xandvt [16] covid,19 [15] dr,john [15] john,campbell [15] social,distancing Top Word Pairs in Tweet in G7:
[31] check,facts [31] before,sharing [30] facts,before [29] always,double [29] double,check [28] beware,misinformation [28] misinformation,#coronavirus [28] whatsapp,social [28] social,media [27] ह,ल Top Word Pairs in Tweet in G8:
[91] drtedros,#coronavirus [37] drtedros,#covid19 [36] #covid19,cases [26] #covid19,response [26] eu_health,statedeptspox [25] statedeptspox,#ayatollahsspreadcovid19 [25] #covid19,#coronavirus [23] community,transmission [22] preparedness,response [20] support,countries Top Word Pairs in Tweet in G9:
[128] afneil,krishgm [128] krishgm,schofe [128] schofe,hollywills [88] death,rate [85] global,death [84] those,infected [83] calculates,global [83] rate,#coronavirus [83] #coronavirus,flu [83] flu,kills Top Word Pairs in Tweet in G10:
[31] eevapaavilainen,drtedros [14] drtedros,f1 [14] f1,lewishamilton [14] lewishamilton,act4animalseu [13] eevapaavilainen,lewishamilton [13] spookybun,jasonpjg [13] humanskin2,mfa_china [13] mfa_china,zlj517 [12] vietnamenglish,mofavietnam [12] seahawks270,watchervirus Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: