The graph represents a network of 5,490 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 Saturday, 07 December 2019 at 01:12 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 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 1-day, 5-hour, 40-minute period from Thursday, 05 December 2019 at 03:11 UTC to Friday, 06 December 2019 at 08:51 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 : 5490
Unique Edges : 6594
Edges With Duplicates : 1819
Total Edges : 8413
Number of Edge Types : 3
Mentions : 7041
Tweet : 870
Replies to : 502
Self-Loops : 870
Reciprocated Vertex Pair Ratio : 0.0111723052714398
Reciprocated Edge Ratio : 0.0220977279800809
Connected Components : 783
Single-Vertex Connected Components : 371
Maximum Vertices in a Connected Component : 3284
Maximum Edges in a Connected Component : 5718
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.992605
Graph Density : 0.000213243177860938
Modularity : 0.731556
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,490 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 Saturday, 07 December 2019 at 01:12 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 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 1-day, 5-hour, 40-minute period from Thursday, 05 December 2019 at 03:11 UTC to Friday, 06 December 2019 at 08:51 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:
[931] malaria,trump [929] children,protected [911] hoodlumrip,malaria [909] name,mentioned [908] trump,very [908] very,concerned [908] concerned,name [908] mentioned,tv [908] tv,children [908] protected,hasn Top Word Pairs in Tweet in G1:
[900] hoodlumrip,malaria [897] malaria,trump [897] trump,very [897] very,concerned [897] concerned,name [897] name,mentioned [897] mentioned,tv [897] tv,children [897] children,protected [897] protected,hasn Top Word Pairs in Tweet in G2:
[134] pregnant,women [126] malaria,report [123] world,malaria [114] women,children [72] report,2019 [57] pahowho,whoemro [57] whoemro,whosearo [57] whosearo,who_europe [57] who_europe,whowpro [57] whowpro,whoafro Top Word Pairs in Tweet in G3:
[363] malaria,venezuela [341] casos,malaria [326] 000,casos [325] 500,000 [322] hemos,retrocedido [322] retrocedido,combate [321] combate,contra [321] contra,malaria [321] malaria,casi [321] casi,500 Top Word Pairs in Tweet in G4:
[43] malaria,cases [40] lucha,áfrica [40] áfrica,acabar [40] acabar,mortal [40] mortal,ruinosa [40] ruinosa,malaria [26] highest,rate [26] rate,malaria [26] malaria,mata [26] mata,empobrece Top Word Pairs in Tweet in G5:
[245] meant,chew [245] chew,malaria [245] malaria,drugs [245] drugs,used [245] used,water [245] water,swallow [244] d__primus,meant [7] malaria,test [7] test,hiv [6] markahumuza,malaria Top Word Pairs in Tweet in G6:
[108] malaria,venezuela [97] julio,castro [92] casos,malaria [60] problema,malaria [58] castro,problema [58] seguridad,nacional [57] venezuela,seguridad [56] nacional,#talcual [56] #talcual,#claroyraspao [56] #claroyraspao,#cifrasalarmantes Top Word Pairs in Tweet in G7:
[40] paullidicul,flotus [40] flotus,noticed [40] noticed,concerned [40] concerned,husband [40] husband,threatening [40] threatening,harm [40] harm,woman [40] woman,malaria [40] malaria,#bebest [23] cherijacobus,flotus Top Word Pairs in Tweet in G8:
[84] malaria,wearing [83] oh,tonight [83] tonight,big [83] big,christmas [83] christmas,tree [83] tree,gaslighting [83] gaslighting,malaria [83] wearing,one [83] one,seat [83] seat,covers Top Word Pairs in Tweet in G9:
[81] tengo,amiga [81] amiga,delicada [81] delicada,salud [81] salud,padecer [81] padecer,dengue [81] dengue,hemorrágico [81] hemorrágico,veo [81] veo,igual [81] igual,malaria [81] malaria,miles Top Word Pairs in Tweet in G10:
[77] malaria,cases [55] india,two [55] two,countries [55] countries,achieved [55] achieved,28 [55] 28,pc [55] pc,reduction [55] reduction,malaria [55] cases,2018 [55] 2018,report 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 Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: