The graph represents a network of 2,673 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 Monday, 29 November 2021 at 04:47 UTC.
The requested start date was Monday, 29 November 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 13-day, 10-hour, 33-minute period from Monday, 15 November 2021 at 01:09 UTC to Sunday, 28 November 2021 at 11:43 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 : 2673
Unique Edges : 2533
Edges With Duplicates : 9871
Total Edges : 12404
Number of Edge Types : 5
Retweet : 2967
MentionsInRetweet : 6197
Mentions : 2491
Tweet : 590
Replies to : 159
Self-Loops : 631
Reciprocated Vertex Pair Ratio : 0.0352493490887242
Reciprocated Edge Ratio : 0.0680982781969433
Connected Components : 347
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 1772
Maximum Edges in a Connected Component : 10922
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.04795
Graph Density : 0.000723720908351647
Modularity : 0.343572
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,673 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 Monday, 29 November 2021 at 04:47 UTC.
The requested start date was Monday, 29 November 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 13-day, 10-hour, 33-minute period from Monday, 15 November 2021 at 01:09 UTC to Sunday, 28 November 2021 at 11:43 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:
[737] potus,vp [728] #tb,#malaria [709] #hiv,#tb [286] defeat,#hiv [275] largest,donor [273] donor,globalfund [273] globalfund,contributed [273] 19b,fight [273] fight,#hiv [272] #malaria,build Top Word Pairs in Tweet in G1:
[94] astmh,#tropmed21 [59] #tropmed21,astmh [56] #malaria,#vaccine [52] #malaria,drug [50] fighting,#malaria [48] deadly,disease [47] drug,resistance [46] antimalarial,medicines [46] medicines,critical [46] critical,fighting Top Word Pairs in Tweet in G2:
[713] potus,vp [678] #tb,#malaria [675] #hiv,#tb [277] defeat,#hiv [264] largest,donor [263] donor,globalfund [263] globalfund,contributed [263] 19b,fight [263] fight,#hiv [260] #malaria,build Top Word Pairs in Tweet in G3:
[49] #malariayoutharmy,champions [49] champions,volunteers [49] volunteers,training [49] #youth,africa [49] africa,gain [43] gain,skills [39] training,kicked [39] kicked,today [39] today,#youth [31] day,#malariayoutharmy Top Word Pairs in Tweet in G4:
[27] take,#malaria [27] #malaria,pill [16] #dengue,#malaria [14] forget,take [13] remember,take [13] pill,hope [7] #malaria,#vaccine [7] shop,#odomos [7] #odomos,#odomosroundtheclock [7] #odomosroundtheclock,#diseases Top Word Pairs in Tweet in G5:
[79] great,lakes [45] hon,mutahi [44] mutahi,kagwe [41] minisitiri,drdanielngamije [41] drdanielngamije,hamwe [41] hamwe,mugenzi [41] mugenzi,hon [41] kagwe,minisitiri [41] minisitiri,ubuzima [41] ubuzima,muri Top Word Pairs in Tweet in G6:
[33] solmosquito,#smnft [33] #smnft,official [33] official,website [33] website,dropped [33] dropped,featuring [33] featuring,clear [33] clear,mission [33] mission,updated [33] updated,roadmap [33] roadmap,fully Top Word Pairs in Tweet in G7:
[63] #malaria,enfermedad [55] #tomanota,correcta [55] correcta,prevención [55] prevención,elemento [55] elemento,clave [55] clave,evitar [52] evitar,contagio [52] contagio,#malaria [51] #epa,#tomanota [49] hospimiltiuna,#epa Top Word Pairs in Tweet in G8:
[14] #malaria,#genomics [13] bioinformaticians,analysts [12] save,date [12] date,01st [12] 01st,december [12] december,10 [12] 10,00 [12] 00,#distinguishedlecture [12] #distinguishedlecture,prof [12] prof,david Top Word Pairs in Tweet in G9:
[35] december,issue [35] issue,live [20] live,featuring [20] featuring,#covid19 [20] #covid19,neonatal [20] neonatal,#sepsis [20] #sepsis,#amr [20] #amr,#tuberculosis [20] #tuberculosis,#malaria [19] thelancetinfdis,december Top Word Pairs in Tweet in G10:
[18] 2021,ruth [18] ruth,bishop [18] bishop,lecture [15] dr,sarthak [13] sarthak,aplma_malaria [10] #malaria,pandemics [9] lecture,dr [9] aplma_malaria,gives [8] 24,nov [8] #rt,aplma_malaria Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: