The graph represents a network of 9,030 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 Friday, 12 February 2021 at 16:35 UTC.
The requested start date was Friday, 12 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, 13-hour, 25-minute period from Tuesday, 09 February 2021 at 11:34 UTC to Friday, 12 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 : 9030
Unique Edges : 4696
Edges With Duplicates : 10885
Total Edges : 15581
Number of Edge Types : 5
Retweet : 5036
MentionsInRetweet : 5926
Tweet : 1265
Replies to : 1183
Mentions : 2171
Self-Loops : 1312
Reciprocated Vertex Pair Ratio : 0.0147942672214517
Reciprocated Edge Ratio : 0.0291571753986333
Connected Components : 1678
Single-Vertex Connected Components : 615
Maximum Vertices in a Connected Component : 1406
Maximum Edges in a Connected Component : 3585
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.805452
Graph Density : 0.000107687950736319
Modularity : 0.579623
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 9,030 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 Friday, 12 February 2021 at 16:35 UTC.
The requested start date was Friday, 12 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, 13-hour, 25-minute period from Tuesday, 09 February 2021 at 11:34 UTC to Friday, 12 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:
[561] malaria,hermano [561] hermano,destruyeron [561] destruyeron,único [561] único,importa [561] importa,impunidad [561] impunidad,cristina [561] cristina,villero [560] pulsionparcial,malaria [522] gt,gt [442] hora,povo Top Word Pairs in Tweet in G1:
[34] covid,19 [27] ministério,saúde [26] malaria,consortium [25] ao,mpf [23] posible,malaria [23] malaria,haya [23] haya,matado [23] matado,personas [23] personas,cualquier [23] cualquier,enfermedad Top Word Pairs in Tweet in G2:
[560] malaria,hermano [560] hermano,destruyeron [560] destruyeron,único [560] único,importa [560] importa,impunidad [560] impunidad,cristina [560] cristina,villero [559] pulsionparcial,malaria [3] mi_holograma,tengas [3] tengas,suerte Top Word Pairs in Tweet in G3:
[49] postdoctoral,position [49] position,wehi_research [49] wehi_research,conduct [49] conduct,genome [49] genome,screens [49] screens,understand [49] understand,liver [49] liver,infection [49] infection,plasmodium [48] drboddey,postdoctoral Top Word Pairs in Tweet in G4:
[292] hora,povo [292] povo,acordar [292] acordar,entender [292] entender,convivemos [292] convivemos,h1n12 [292] h1n12,sífilis [292] sífilis,gonorreia [292] gonorreia,tuberculose [292] tuberculose,aids [292] aids,câncer Top Word Pairs in Tweet in G5:
[148] usou,cloroquina [134] tratamento,malária [130] ministro,saúde [130] saúde,disse [130] disse,ao [130] ao,ministerio [130] ministerio,público [130] público,federal [130] federal,usou [130] cloroquina,produzida Top Word Pairs in Tweet in G6:
[432] gt,gt [80] hunger,crazy [80] crazy,think [80] think,malaria [80] malaria,food [80] food,body [79] unclemohamz,hunger [54] sex,re [54] re,malaria [54] malaria,hits Top Word Pairs in Tweet in G7:
[167] venezolanos,desplazados [167] desplazados,régimen [167] régimen,criminal [167] criminal,selva [167] selva,darién [167] darién,panamá [167] panamá,dejan [167] dejan,entrar [166] joseagraterol,venezolanos [166] entrar,pag Top Word Pairs in Tweet in G8:
[136] harvard,study [136] study,finds [136] finds,deaths [136] deaths,air [136] air,pollution [136] pollution,far [136] far,far [136] far,higher [136] higher,previously [136] previously,thought Top Word Pairs in Tweet in G9:
[99] fossil,fuels [93] conclusions,health [93] health,study [93] study,fossil [93] fuels,staggering [93] staggering,deaths [93] deaths,2018 [93] 2018,linked [92] jamieclimate,conclusions [42] fossil,fuel Top Word Pairs in Tweet in G10:
[147] hora,povo [147] povo,acordar [147] acordar,entender [147] entender,convivemos [147] convivemos,h1n12 [147] h1n12,sífilis [147] sífilis,gonorreia [147] gonorreia,tuberculose [147] tuberculose,aids [139] rolando,nas Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: