The graph represents a network of 8,335 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, 10 December 2021 at 16:30 UTC.
The requested start date was Friday, 10 December 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 3-day, 0-hour, 20-minute period from Tuesday, 07 December 2021 at 00:39 UTC to Friday, 10 December 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 : 8335
Unique Edges : 4611
Edges With Duplicates : 10717
Total Edges : 15328
Number of Edge Types : 5
Retweet : 4798
MentionsInRetweet : 5846
Tweet : 1617
Replies to : 1037
Mentions : 2030
Self-Loops : 1667
Reciprocated Vertex Pair Ratio : 0.0172541286665023
Reciprocated Edge Ratio : 0.033922946450206
Connected Components : 1804
Single-Vertex Connected Components : 818
Maximum Vertices in a Connected Component : 2737
Maximum Edges in a Connected Component : 7113
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.045384
Graph Density : 0.00011882432728717
Modularity : 0.54505
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,335 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, 10 December 2021 at 16:30 UTC.
The requested start date was Friday, 10 December 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 3-day, 0-hour, 20-minute period from Tuesday, 07 December 2021 at 00:39 UTC to Friday, 10 December 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:
[1003] malaria,deaths [816] deaths,2020 [714] increase,malaria [688] caused,sharp [682] sharp,increase [679] lockdowners,championed [679] championed,policies [679] policies,caused [678] drjbhattacharya,lockdowners [673] 2020,besâ Top Word Pairs in Tweet in G1:
[145] hiv,tuberculosis [122] inequality,hiv [110] cases,deaths [110] health,inequality [99] malaria,report [95] report,2021 [95] report,highlights [92] world,malaria [88] 'state,inequality [87] tuberculosis,malaria' Top Word Pairs in Tweet in G2:
[114] covid,19 [106] malaria,deaths [62] 69,000 [40] malã,ria [37] àª,ઠ[31] world,health [28] 000,more [28] muertes,malaria [27] global,malaria [27] more,people Top Word Pairs in Tweet in G3:
[672] malaria,deaths [670] deaths,2020 [667] lockdowners,championed [667] championed,policies [667] policies,caused [667] caused,sharp [667] sharp,increase [667] increase,malaria [666] drjbhattacharya,lockdowners [663] 2020,besâ Top Word Pairs in Tweet in G4:
[217] cold,malaria [210] dear,aa [210] aa,cold [210] malaria,treating [209] tolul_ope,dear [120] money,expensive [120] expensive,babe [120] babe,wan [120] wan,dey [120] dey,date Top Word Pairs in Tweet in G5:
[168] covid,19 [166] malaria,years [165] news,47 [165] 47,000 [165] 000,more [165] more,people [165] people,died [165] died,malaria [165] malaria,due [165] due,covid Top Word Pairs in Tweet in G6:
[73] everyone,lagos [73] lagos,complaining [73] complaining,fever [73] fever,catarrh [73] catarrh,malaria [73] malaria,people [73] people,alright [73] alright,sha [72] d3bayor,everyone [20] usual,december Top Word Pairs in Tweet in G7:
[102] fear,monger [102] monger,much [102] much,nyt [102] nyt,story [102] story,kids [102] kids,incidentally [102] incidentally,testing [102] testing,positive [102] positive,scov2 [102] scov2,kids Top Word Pairs in Tweet in G8:
[36] yanomami,famã [36] famã,lia [36] lia,linguã [36] linguã,stica [36] stica,yanomami [36] yanomami,esse [36] esse,grupo [36] grupo,reãºne [36] reãºne,cerca [36] cerca,26 Top Word Pairs in Tweet in G9:
[34] groundbreaking,rts [34] rts,vaccine [34] vaccine,help [34] help,save [34] save,tens [34] tens,thousands [34] thousands,children [34] children,paving [34] paving,way [34] way,pipeline Top Word Pairs in Tweet in G10:
[52] mosquitoes,feed [34] anytime,aas [34] aas,talk [34] talk,greatness [34] greatness,sovereignty [34] sovereignty,people [34] people,always [34] always,come [34] come,boring [34] boring,malaria Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G9:
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 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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: