The graph represents a network of 7,999 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 Sunday, 21 February 2021 at 16:37 UTC.
The requested start date was Friday, 19 February 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 11-hour, 49-minute period from Tuesday, 16 February 2021 at 13:11 UTC to Friday, 19 February 2021 at 01:00 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 : 7999
Unique Edges : 4873
Edges With Duplicates : 10254
Total Edges : 15127
Number of Edge Types : 5
Tweet : 1454
Retweet : 4636
MentionsInRetweet : 5716
Replies to : 1335
Mentions : 1986
Self-Loops : 1518
Reciprocated Vertex Pair Ratio : 0.0255512321660182
Reciprocated Edge Ratio : 0.0498292652080435
Connected Components : 1838
Single-Vertex Connected Components : 671
Maximum Vertices in a Connected Component : 2039
Maximum Edges in a Connected Component : 6897
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.868338
Graph Density : 0.000123593218594685
Modularity : 0.528439
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,999 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 Sunday, 21 February 2021 at 16:37 UTC.
The requested start date was Friday, 19 February 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 11-hour, 49-minute period from Tuesday, 16 February 2021 at 13:11 UTC to Friday, 19 February 2021 at 01:00 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 : GraphServerTwitterSearch
Graph Term : Malaria
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:
[617] zero,malaria [607] zero,tb [600] zero,covid [597] malaria,zero [595] covid,zero [595] tb,zero [594] stop,zero [594] zero,poverty [592] drkohilathas,stop [312] end,malaria Top Word Pairs in Tweet in G1:
[38] eradicate,malaria [37] covid,19 [35] startup,using [33] using,ai [33] ai,eradicate [28] posible,malaria [28] malaria,haya [28] haya,matado [28] matado,personas [28] personas,cualquier Top Word Pairs in Tweet in G2:
[261] end,malaria [178] malaria,council [129] against,malaria [100] kenya,end [90] brings,together [88] online,platform [82] fight,against [66] public,private [59] multi,sectoral [59] sectoral,platform Top Word Pairs in Tweet in G3:
[589] zero,covid [588] zero,malaria [588] zero,tb [587] stop,zero [587] covid,zero [587] malaria,zero [587] tb,zero [587] zero,poverty [585] drkohilathas,stop [6] malaria,poverty Top Word Pairs in Tweet in G4:
[254] malária,leblon [251] carnaval,bem [251] bem,fique [251] fique,em [251] em,casa [251] casa,você [251] você,praia [251] praia,lazer [251] lazer,pra [251] pra,mim Top Word Pairs in Tweet in G5:
[201] 90ssophie,send [201] send,someone [201] someone,money [201] money,today [201] today,cures [201] cures,depression [201] depression,malaria [201] malaria,thank [11] baby,malaria [11] malaria,infection Top Word Pairs in Tweet in G6:
[85] intoxicação,alimentar [83] alimentar,anit [83] anit,será [83] será,tratada [83] tratada,também [83] também,medicação [83] medicação,malária [82] karlinhab7,intoxicação [7] camila,pitanga [7] cigana2021,será Top Word Pairs in Tweet in G7:
[6] adamlutta,magufulijp [5] hata,malaria [5] virusi,vya [4] max19601234,mariastsehai [4] mariastsehai,ukiwa [4] ukiwa,dalili [4] dalili,malaria [4] malaria,ukimeza [4] ukimeza,vidonge [4] vidonge,bila Top Word Pairs in Tweet in G8:
[80] see,eh [80] eh,knew [80] knew,trouble [80] trouble,minute [80] minute,asking [80] asking,questions [80] questions,blanked [80] blanked,history [79] sports_doctor2,see [2] malaria,typhoid Top Word Pairs in Tweet in G9:
[23] end,malaria [21] bro,ukinyimwa [21] ukinyimwa,shukuru [21] shukuru,ukimwi [21] ukimwi,sio [21] sio,malaria [20] mariapoet__,bro [19] nimelala,nikaota [19] nikaota,bakhresa [19] bakhresa,ananiamsha Top Word Pairs in Tweet in G10:
[64] fear,tiny [64] tiny,mosquito [64] mosquito,large [64] large,lump [64] lump,sum [64] sum,waiting [64] waiting,case [64] case,diseases [64] diseases,dengue [64] dengue,malaria Top Replied-To in Entire Graph:
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 G8:
Top Replied-To in G9:
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 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: