The graph represents a network of 9,116 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, 20 May 2022 at 14:18 UTC.
The requested start date was Friday, 20 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, 13-hour, 48-minute period from Tuesday, 17 May 2022 at 10:12 UTC to Friday, 20 May 2022 at 00:00 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 : 9116
Unique Edges : 5593
Edges With Duplicates : 9418
Total Edges : 15011
Number of Edge Types : 5
Retweet : 4346
MentionsInRetweet : 5455
Replies to : 1402
Tweet : 1705
Mentions : 2103
Self-Loops : 1759
Reciprocated Vertex Pair Ratio : 0.0187987703948924
Reciprocated Edge Ratio : 0.0369037948241848
Connected Components : 2203
Single-Vertex Connected Components : 889
Maximum Vertices in a Connected Component : 2477
Maximum Edges in a Connected Component : 6213
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.582765
Graph Density : 0.000103703903392298
Modularity : 0.598259
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,116 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, 20 May 2022 at 14:18 UTC.
The requested start date was Friday, 20 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, 13-hour, 48-minute period from Tuesday, 17 May 2022 at 10:12 UTC to Friday, 20 May 2022 at 00:00 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:
[793] don,take [599] malaria,drugs [405] take,malaria [397] deaths,worldwide [396] alabukun,coke [396] coke,contraceptive [396] contraceptive,don [396] take,antibiotics [396] antibiotics,milk [396] milk,don Top Word Pairs in Tweet in G1:
[57] drugs,alcohol [52] malaria,hiv [44] war,terrorism [34] ment,malaria [32] terrorism,malaria [31] hiv,tuberculosis [31] more,people [29] tuberculosis,drugs [27] malaria,drugs [27] war,malaria Top Word Pairs in Tweet in G2:
[41] fight,against [41] first,#malaria [38] #malaria,vaccine [37] #tb,#malaria [34] highlight,#2 [34] #2,2021 [34] 2021,recommended [34] recommended,use [34] use,first [34] vaccine,children Top Word Pairs in Tweet in G3:
[787] don,take [393] alabukun,coke [393] coke,contraceptive [393] contraceptive,don [393] take,antibiotics [393] antibiotics,milk [393] milk,don [393] take,malaria [393] malaria,drugs [392] subpharmacist,alabukun Top Word Pairs in Tweet in G4:
[185] one,six [185] more,annual [185] annual,global [185] global,tolls [185] tolls,war [184] pollution,caused [184] caused,one [184] six,deaths [184] deaths,worldwide [184] worldwide,2019 Top Word Pairs in Tweet in G5:
[215] tried,hard [215] hard,avoiding [215] avoiding,microplastics [215] microplastics,something [215] something,slipped [215] slipped,re [215] re,dying [215] dying,malaria [215] malaria,gigachad [214] highlethality2,tried Top Word Pairs in Tweet in G6:
[35] work,shows [33] bites,#malaria [33] baldini_fra,work [29] 30,bites [29] occurs,inside [29] inside,houses [29] houses,during [29] during,daytime [28] shows,30 [28] #malaria,mosquito Top Word Pairs in Tweet in G7:
[87] best,malaria [85] stand,strong [84] mosquito,bite [83] aas,sef [83] sef,dey [83] dey,sing [83] sing,cos [83] cos,stand [83] strong,go [83] go,minus Top Word Pairs in Tweet in G8:
[109] contaminación,ambiental [109] ambiental,provoca [87] informe,calcula [87] calcula,polución [76] provoca,muertes [76] muertes,mundo [76] mundo,coronavirus [70] coronavirus,informe [69] locodelpelorojo,contaminación [69] polución,caus Top Word Pairs in Tweet in G9:
[101] malaria,drugs [99] drugs,know [97] apart,urgent [97] urgent,2k [97] 2k,airtime [97] airtime,shawama [97] shawama,pizza [97] pizza,ice [97] ice,cream [97] cream,suya Top Word Pairs in Tweet in G10:
[2] 6tk9cn1rb4a49b1,antonio_ott1961 [2] antonio_ott1961,codornicespark [2] codornicespark,gomiriam63 [2] gomiriam63,iq15991967 [2] iq15991967,reems84 [2] reems84,jonathanweissb3 [2] jonathanweissb3,eye_seeeee [2] eye_seeeee,p3ng1z 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 G6:
Top Replied-To in G7:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: