The graph represents a network of 20,300 Twitter users whose recent tweets contained "tuberculosis", 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 Tuesday, 10 August 2021 at 05:48 UTC.
The tweets in the network were tweeted over the 6-day, 15-hour, 13-minute period from Tuesday, 03 August 2021 at 13:51 UTC to Tuesday, 10 August 2021 at 05:04 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 : 20300
Unique Edges : 23843
Edges With Duplicates : 1908
Total Edges : 25751
Number of Edge Types : 5
Retweet : 13859
Mentions : 3251
Replies to : 2656
MentionsInRetweet : 4055
Tweet : 1930
Self-Loops : 1992
Reciprocated Vertex Pair Ratio : 0.00926820697531406
Reciprocated Edge Ratio : 0.0183661922792358
Connected Components : 2663
Single-Vertex Connected Components : 1023
Maximum Vertices in a Connected Component : 11930
Maximum Edges in a Connected Component : 15944
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 5.540333
Graph Density : 5.57599842939192E-05
Modularity : 0.814409
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 20,300 Twitter users whose recent tweets contained "tuberculosis", 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 Tuesday, 10 August 2021 at 05:48 UTC.
The tweets in the network were tweeted over the 6-day, 15-hour, 13-minute period from Tuesday, 03 August 2021 at 13:51 UTC to Tuesday, 10 August 2021 at 05:04 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 : tuberculosis
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:
[8453] covid,19 [8309] tos,ferina [8091] fiebre,amarilla [8080] fiebre,tifoidea [8059] vacunas,cambiaron [8057] cambiaron,vida [8028] 1885,rabia [8028] polio,1963 [8028] 1963,sarampión [8027] rabia,1890 Top Word Pairs in Tweet in G1:
[7491] vacunas,cambiaron [7491] cambiaron,vida [7491] vida,1796 [7491] 1796,viruela [7491] viruela,1885 [7491] 1885,rabia [7491] rabia,1890 [7491] 1890,tétanos [7491] tétanos,1896 [7491] 1896,fiebre Top Word Pairs in Tweet in G2:
[51] covid,19 [43] bovine,tuberculosis [35] mycobacterium,tuberculosis [22] positive,bovine [21] tuberculosis,tb [19] tested,positive [18] old,vaccine [17] died,tuberculosis [16] million,people [15] against,tuberculosis Top Word Pairs in Tweet in G3:
[445] desastre,gobierno [444] gobierno,pedrocastillote [444] tener,tuberculosis [443] viendo,desastre [443] pedrocastillote,quienes [443] quienes,dicen [443] dicen,gente [443] gente,debió [443] debió,votar [443] votar,keikofujimori Top Word Pairs in Tweet in G4:
[207] parliament,house [202] tb,free [197] awareness,tuberculosis [193] addressed,event [193] event,spread [193] spread,awareness [193] tuberculosis,parliament [193] house,spoke [193] spoke,ways [193] ways,reach Top Word Pairs in Tweet in G5:
[284] bovine,tuberculosis [211] positive,bovine [177] testing,positive [155] put,down [131] alpaca,geronimo [109] helen,macdonald [91] tested,positive [83] twice,testing [82] environment,secretary [68] secretary,george Top Word Pairs in Tweet in G6:
[97] covid,19 [62] tuberculosis,shaped [62] shaped,modernism [62] modernism,covid [62] 19,collective [62] collective,experience [62] experience,staying [62] staying,inside [62] inside,months [62] months,end Top Word Pairs in Tweet in G7:
[346] tuberculosis,word [14] therealhoarse,tuberculosis [14] tuberculosis,polio [11] rubella,measles [11] measles,mumps [11] people,died [10] polio,diphtheria [10] diphtheria,whooping [10] whooping,cough [10] cough,tetanus Top Word Pairs in Tweet in G8:
[344] vacunas,cambiaron [344] cambiaron,vida [344] 1885,rabia [344] rabia,1890 [344] 1890,tétanos [344] tétanos,1896 [344] 1896,fiebre [344] fiebre,tifoidea [344] tifoidea,1906 [344] 1906,tuberculosis Top Word Pairs in Tweet in G9:
[177] tuberculosis,mucho [177] mucho,contagiosa [176] particular,pide [176] pide,demuestres [176] demuestres,inyectaron [176] inyectaron,experimento [176] experimento,contra [176] contra,virus [176] virus,pedile [176] pedile,demuestre Top Word Pairs in Tweet in G10:
[195] sida,gonorrea [195] hepatitis,meningitis [195] meningitis,conjuntivitis [195] conjuntivitis,gripe [195] gripe,tos [195] tos,ferina [195] ferina,neumococo [195] neumococo,difteria [195] difteria,tuberculosis [195] tuberculosis,sarampión Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: