The graph represents a network of 9,583 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, 25 November 2022 at 15:17 UTC.
The requested start date was Friday, 25 November 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 4-day, 14-hour, 27-minute period from Sunday, 20 November 2022 at 10:33 UTC to Friday, 25 November 2022 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 : 9583
Unique Edges : 6016
Edges With Duplicates : 9265
Total Edges : 15281
Number of Edge Types : 5
Tweet : 1660
Retweet : 3868
MentionsInRetweet : 4708
Replies to : 2017
Mentions : 3028
Self-Loops : 1718
Reciprocated Vertex Pair Ratio : 0.0191649555099247
Reciprocated Edge Ratio : 0.0376091336467428
Connected Components : 2241
Single-Vertex Connected Components : 856
Maximum Vertices in a Connected Component : 1288
Maximum Edges in a Connected Component : 3202
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.662323
Graph Density : 9.72945006521476E-05
Modularity : 0.608564
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,583 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, 25 November 2022 at 15:17 UTC.
The requested start date was Friday, 25 November 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 4-day, 14-hour, 27-minute period from Sunday, 20 November 2022 at 10:33 UTC to Friday, 25 November 2022 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:
[465] over,counter [452] hydroxychloroquine,over [445] africa,decades [444] easy,hydroxychloroquine [444] counter,drug [444] everyone,takes [443] decades,practically [443] drug,africa [443] practically,everyone [442] sebgorka,easy Top Word Pairs in Tweet in G1:
[30] fever,outbreak [30] sudan,experiences [30] dengue,fever [30] experiences,worst [29] more,decade [29] outbreak,more [28] worst,dengue [27] tuberculosis,malaria [20] died,malaria [20] ment,malaria Top Word Pairs in Tweet in G2:
[64] share,exciting [64] pleased,share [63] fight,against [62] path,malaria [62] shailjasingh75,opens [62] discovery,lab [62] exciting,discovery [62] opens,path [62] lab,shailjasingh75 [61] aranganathan72,pleased Top Word Pairs in Tweet in G3:
[443] hydroxychloroquine,over [443] easy,hydroxychloroquine [443] everyone,takes [443] counter,drug [443] practically,everyone [443] africa,decades [443] drug,africa [443] over,counter [443] decades,practically [442] takes,mala Top Word Pairs in Tweet in G4:
[166] #cartoonnetwork,#malaria [166] #thegrimadventuresofbillyandmandy,#cartoonnetwork [166] #malaria,#90sanimestyle [165] brennimurasaki,#thegrimadventuresofbillyandmandy Top Word Pairs in Tweet in G5:
[122] nkan,kan [122] black,maria [122] ri,nkan [122] malaria,ri [122] maria,malaria [122] maria,black [121] oli_ekun,maria [34] amartem,soft [34] gel,re [34] use,amartem Top Word Pairs in Tweet in G6:
[104] ment,malaria [92] steadyyboyy,ment [6] malaria,drugs [5] naija_pr,ment [4] smell,soooooo [4] good,health [4] thank,god [4] ebinyonelson,naija_pr [4] bad,thank [4] god,good Top Word Pairs in Tweet in G7:
[3] rjsnout,jeffrey_ferland [3] msabouri,yellowmazzymoo [3] plhartungrn,boredoffools [3] minnesotaexpat,troydee [3] yellowmazzymoo,rjsnout [3] ptcjoneses,0800_ksmy_ass [3] goingtogetugly,atomskssanakan [3] iainmulady,andykyr [3] mfuzzbox,nathanaelyoung [3] kitty_grayling,mfuzzbox Top Word Pairs in Tweet in G8:
[91] thankful,finally [91] something,thankful [91] finally,winning [91] winning,against [91] scourge,history [91] deadliest,scourge [91] mosquitoes,deadliest [91] against,mosquitoes [90] emollick,something [90] history,kill Top Word Pairs in Tweet in G9:
[15] anti,malaria [14] malaria,drug [11] over,counter [10] its_the_dr,ivermectin [10] covid,19 [9] drug,plus [9] deal,africa [9] ivermectin,hdq [9] sp8863,its_the_dr [9] sold,over Top Word Pairs in Tweet in G10:
[15] malaria,please [15] please,take [15] take,easy [14] solakafinta,malaria [9] ment,malaria [8] go,treat [7] treat,malaria [4] oluseg1n1,adamugarba [3] prudence,prefer [3] channelstv,kwankwasorm Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: