The graph represents a network of 8,814 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, 13 May 2022 at 14:18 UTC.
The requested start date was Friday, 13 May 2022 at 00:01 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, 16-hour, 26-minute period from Tuesday, 10 May 2022 at 07:32 UTC to Thursday, 12 May 2022 at 23:58 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 : 8814
Unique Edges : 6469
Edges With Duplicates : 9802
Total Edges : 16271
Number of Edge Types : 5
Retweet : 4290
MentionsInRetweet : 6172
Replies to : 1486
Mentions : 2756
Tweet : 1567
Self-Loops : 1616
Reciprocated Vertex Pair Ratio : 0.0260860306643952
Reciprocated Edge Ratio : 0.0508456988689426
Connected Components : 1997
Single-Vertex Connected Components : 829
Maximum Vertices in a Connected Component : 3331
Maximum Edges in a Connected Component : 8890
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.377451
Graph Density : 0.000124063789565979
Modularity : 0.589545
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,814 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, 13 May 2022 at 14:18 UTC.
The requested start date was Friday, 13 May 2022 at 00:01 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, 16-hour, 26-minute period from Tuesday, 10 May 2022 at 07:32 UTC to Thursday, 12 May 2022 at 23:58 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:
[1306] malaria,vaccine [1177] available,nigeria [1126] good,news [1121] vaccine,available [1120] very,soon [1118] looking,very [1118] very,malaria [1118] nigeria,very [1118] soon,good [1117] aproko_doctor,looking Top Word Pairs in Tweet in G1:
[1118] malaria,vaccine [1104] good,news [1101] vaccine,available [1099] looking,very [1099] very,malaria [1099] available,nigeria [1099] nigeria,very [1099] very,soon [1099] soon,good [1098] aproko_doctor,looking Top Word Pairs in Tweet in G2:
[76] até,2035 [66] malária,até [64] casos,malária [52] ministério,saúde [50] quer,zerar [50] zerar,casos [44] saúde,quer [34] ment,malaria [34] malaria,vaccine [31] eliminação,malária Top Word Pairs in Tweet in G3:
[72] happy,count [70] very,happy [68] count,support [61] meeting,#oneactivists [53] today,very [51] #oneactivists,today [49] support,calling [38] #hiv,#tb [36] against,malaria [35] zero,malaria Top Word Pairs in Tweet in G4:
[38] progress,against [37] against,malaria [34] back,track [33] malaria,faltered [33] faltered,here's [33] here's,back [30] putin,terrible [30] terrible,#ivantheterrible [30] #ivantheterrible,#butchers [30] #butchers,#komodo Top Word Pairs in Tweet in G5:
[40] qual,remédio [40] remédio,considerado [40] considerado,primeira [40] primeira,linha [40] linha,evitar [40] evitar,mortes [40] mortes,malária [29] minsaude,qual [28] alessandroloio2,minsaude [17] doença,pode Top Word Pairs in Tweet in G6:
[3] yr72390,ashraf711a [3] ashraf711a,mayamurful [3] mayamurful,reallhere [3] doctorw40827200,erezneumark [3] erezneumark,doggyford [3] doggyford,michael__baskin [3] michael__baskin,mabosisc [3] mabosisc,akodensybane [3] akodensybane,87yrs [3] khizerk3,flastrade Top Word Pairs in Tweet in G7:
[48] ulcer,pains [47] tested,diagnosed [47] diagnosed,malaria [47] malaria,bacteria [47] bacteria,infection [47] infection,tummy [47] tummy,causing [47] causing,serious [47] serious,ulcer [47] pains,day Top Word Pairs in Tweet in G8:
[64] jane's,ok [64] ok,anzio [64] anzio,allied [64] allied,troops [64] troops,anzio [64] anzio,front [64] front,italy [64] italy,instructed [64] instructed,cover [64] cover,avoid Top Word Pairs in Tweet in G9:
[34] tunde_od,idrisaoni1 [34] idrisaoni1,nana_remi03 [34] nana_remi03,makethingsnowar [34] makethingsnowar,elonmusk [34] elonmusk,reemakahmed [34] reemakahmed,faridatu001 [34] faridatu001,unclemohamz [34] unclemohamz,7signxx [33] ftvf_foundation,tunde_od [33] 7signxx,taylor_ Top Word Pairs in Tweet in G10:
[17] malaria,awareness [15] #worldmalariaday,#indianarmy [15] #indianarmy,conducted [15] conducted,lecture [15] lecture,ghoallan [15] ghoallan,rajauri [15] rajauri,district [15] district,malaria [14] hukusbukus_786,#worldmalariaday [14] awareness,#amritmah Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
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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 G4:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: