The graph represents a network of 8,873 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, 11 March 2022 at 16:20 UTC.
The requested start date was Friday, 11 March 2022 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 7-day, 2-hour, 18-minute period from Thursday, 03 March 2022 at 22:38 UTC to Friday, 11 March 2022 at 00:57 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 : 8873
Unique Edges : 5705
Edges With Duplicates : 10052
Total Edges : 15757
Number of Edge Types : 5
Retweet : 4190
MentionsInRetweet : 5356
Replies to : 1530
Tweet : 1599
Mentions : 3082
Self-Loops : 1658
Reciprocated Vertex Pair Ratio : 0.0253469434568184
Reciprocated Edge Ratio : 0.0494407158836689
Connected Components : 2008
Single-Vertex Connected Components : 732
Maximum Vertices in a Connected Component : 2960
Maximum Edges in a Connected Component : 8103
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.650429
Graph Density : 0.000113565261204674
Modularity : 0.568169
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,873 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, 11 March 2022 at 16:20 UTC.
The requested start date was Friday, 11 March 2022 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 7-day, 2-hour, 18-minute period from Thursday, 03 March 2022 at 22:38 UTC to Friday, 11 March 2022 at 00:57 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:
[1047] don,take [732] malaria,drugs [540] take,malaria [522] alabukun,coke [522] coke,contraceptive [522] contraceptive,don [522] take,ciprofloxacin [522] ciprofloxacin,milk [522] milk,don [521] subpharmacist,alabukun Top Word Pairs in Tweet in G1:
[56] ãƒ,ム[21] gt,gt [18] covid,19 [16] died,malaria [15] ment,malaria [11] malaria,vaccine [10] tb,malaria [9] ebola,malaria [7] ãƒ,マム[7] ç,ç Top Word Pairs in Tweet in G2:
[102] tb,malaria [94] against,malaria [86] fight,against [57] hiv,tb [43] #tb,#malaria [37] malaria,vector [36] #hiv,#tb [35] aids,tb [34] 18,billion [34] pregnant,women Top Word Pairs in Tweet in G3:
[1005] don,take [503] take,malaria [503] malaria,drugs [502] alabukun,coke [502] coke,contraceptive [502] contraceptive,don [502] take,ciprofloxacin [502] ciprofloxacin,milk [502] milk,don [501] subpharmacist,alabukun Top Word Pairs in Tweet in G4:
[37] tb,malaria [36] malaria,aids [35] global,north [30] global,south [29] happened,before [29] before,tb [29] aids,global [29] north,'move [29] 'move,on' [29] on',global Top Word Pairs in Tweet in G5:
[213] suspicious,fever [213] fever,suspected [213] suspected,typhoid [213] typhoid,malaria [213] malaria,responded [213] responded,treatment [213] treatment,fever [213] fever,general [212] aproko_doctor,suspicious [12] don,take Top Word Pairs in Tweet in G6:
[4] early,zionist [4] malaria,infested [4] saoi___,lookforpeace2 [4] thrstynonegiven,outriderted [4] sadcjp,ireneminkema [4] ireneminkema,miriaml99472550 [4] nifkadimnohahim,relaxin60 [4] nickcooperative,jonathanweissb3 [4] jonathanweissb3,n1sarahmed [4] n1sarahmed,ronkonoma Top Word Pairs in Tweet in G7:
[153] malaria,drugs [131] nigerian,pharmacies [131] pharmacies,complete [131] complete,disgrace [131] disgrace,malaria [131] drugs,sliced [131] sliced,bread [130] gold_apparels,nigerian [19] last,week [19] week,went Top Word Pairs in Tweet in G8:
[51] learn,more [50] save,cash [50] cash,malaria [50] malaria,care [50] care,health [50] health,plan [50] plan,covers [50] covers,malaria [50] malaria,tests [50] tests,drugs Top Word Pairs in Tweet in G9:
[119] day,nigerians [119] nigerians,decide [119] decide,talk [119] talk,horrible [119] horrible,things [119] things,experience [119] experience,hands [119] hands,labs [118] victorisrael_,day [118] labs,nigeri Top Word Pairs in Tweet in G10:
[32] malaria,transmission [29] job,alert [29] alert,mattmartilab [29] mattmartilab,wcipglasgow [29] wcipglasgow,uofgmvls [29] uofgmvls,looking [29] looking,technician [29] technician,work [29] work,malaria [29] transmission,biology Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: