The graph represents a network of 4,458 Twitter users whose tweets in the requested range contained "#malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 22 October 2019 at 18:38 UTC.
The requested start date was Tuesday, 22 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 17-hour, 50-minute period from Thursday, 10 October 2019 at 06:07 UTC to Monday, 21 October 2019 at 23:57 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[902] #tb,#malaria [848] #aids,#tb [676] #stepupthefight,against [668] against,#aids [615] regsprecher,bmz_bund [615] globalfund,1 [600] contribution,globalfund [600] 1,billion [597] thank,chancellor [597] chancellor,merkel Top Word Pairs in Tweet in G1:
[847] #tb,#malaria [782] #aids,#tb [658] #stepupthefight,against [631] against,#aids [615] regsprecher,bmz_bund [615] globalfund,1 [599] contribution,globalfund [599] 1,billion [597] thank,chancellor [597] chancellor,merkel Top Word Pairs in Tweet in G2:
[48] #plasmodium,#malaria [31] fight,against [28] against,#malaria [25] today,#womeninmalaria [21] mosquito,net [20] global,fund [20] womeninmalaria,today [20] replenishment,conference [19] https,t [19] t,co Top Word Pairs in Tweet in G3:
[291] contra,#sida [278] #sida,#malaria [275] #malaria,#tuberculosis [272] españa,volverá [272] volverá,contribuir [272] contribuir,lucha [272] lucha,global [272] global,contra [272] #tuberculosis,porque [272] porque,salud Top Word Pairs in Tweet in G4:
[84] 50,000 [83] 000,year [83] year,old [83] old,gene [67] #malaria,parasite [52] gene,sequence [51] resurrecting,50 [51] sequence,scientists [51] scientists,uncovered [51] uncovered,world Top Word Pairs in Tweet in G5:
[12] #malaria,#dengue [9] #malaria,#disease [8] #mosquitoes,#aedesaegypti [8] #aedesaegypti,#malaria [8] #vitalprotection,#hhltechnology [7] #malaria,parasite [7] #africa,#africanunion [6] #tb,#malaria [6] #dengue,#save [6] #save,#your Top Word Pairs in Tweet in G6:
[101] aazoulay,unesco [101] unesco,unescowhc [101] unescowhc,unenvironment [101] unenvironment,iucn [101] iucn,urgente [101] urgente,vean [101] vean,esto [101] esto,nicolasmaduro [101] nicolasmaduro,impulsa [101] impulsa,política Top Word Pairs in Tweet in G7:
[105] now,lyon [105] lyon,minister [105] minister,health [105] health,dianegashumba [105] dianegashumba,behalf [105] behalf,president [105] president,paul [105] paul,kagame [105] kagame,announces [105] announces,rwanda Top Word Pairs in Tweet in G8:
[42] andy,macdonald [37] very,interesting [37] interesting,new [37] new,paper [37] paper,pnasnews [37] pnasnews,andy [37] macdonald,brenucsb [37] brenucsb,erin [37] erin,mordecai [37] mordecai,morde Top Word Pairs in Tweet in G9:
[36] submit,abstract [23] 19th,icid [18] deadline,submit [18] abstract,19th [16] learn,more [15] against,#malaria [14] fight,against [13] #factoftheday,snow [13] snow,white [13] white,seven Top Word Pairs in Tweet in G10:
[23] fight,#malaria [19] #1195,iacute [19] iacute,berry [19] berry,extracts [19] extracts,fight [19] #malaria,#mice [19] #mice,acs_omega [18] physorg_com,#1195 [12] immune,reaction [12] reaction,causes Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: