The graph represents a network of 8,358 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, 29 July 2022 at 14:16 UTC.
The requested start date was Friday, 29 July 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, 6-hour, 38-minute period from Tuesday, 26 July 2022 at 17:19 UTC to Thursday, 28 July 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 : 8358
Unique Edges : 4988
Edges With Duplicates : 10668
Total Edges : 15656
Number of Edge Types : 5
Retweet : 4733
MentionsInRetweet : 5657
Tweet : 1307
Replies to : 1364
Mentions : 2595
Self-Loops : 1351
Reciprocated Vertex Pair Ratio : 0.0138855922145739
Reciprocated Edge Ratio : 0.0273908463069179
Connected Components : 1821
Single-Vertex Connected Components : 689
Maximum Vertices in a Connected Component : 1802
Maximum Edges in a Connected Component : 6396
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.162575
Graph Density : 0.000122308780894277
Modularity : 0.552686
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,358 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, 29 July 2022 at 14:16 UTC.
The requested start date was Friday, 29 July 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, 6-hour, 38-minute period from Tuesday, 26 July 2022 at 17:19 UTC to Thursday, 28 July 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:
[275] malaria,deaths [273] one,difficult [273] difficult,beliefs [273] beliefs,counter [273] counter,infections [273] infections,maintain [273] maintain,steady [273] steady,state [273] state,protective [273] protective,immunity Top Word Pairs in Tweet in G1:
[39] ment,malaria [34] hiv,aids [31] aids,malaria [28] malaria,tuberculosis [26] end,hiv [25] ve,added [25] added,name [25] name,help [25] help,end [25] tuberculosis,save Top Word Pairs in Tweet in G2:
[265] people,suffering [249] children,mothers [249] mothers,elderly [249] elderly,people [249] suffering,completely [226] completely,treatable [226] treatable,disease [226] disease,many [226] many,people [226] people,died Top Word Pairs in Tweet in G3:
[79] malaria,youth [73] tb,malaria [70] fight,against [63] aids,tb [60] ongoing,induction [59] induction,seminar [50] kenya,malaria [50] youth,army [46] back,track [43] hiv,aids Top Word Pairs in Tweet in G4:
[271] one,difficult [271] difficult,beliefs [271] beliefs,counter [271] counter,infections [271] infections,maintain [271] maintain,steady [271] steady,state [271] state,protective [271] protective,immunity [271] immunity,took Top Word Pairs in Tweet in G5:
[255] 300,000 [254] privatized,healthcare [254] healthcare,reduce [254] reduce,300 [254] 000,malaria [254] malaria,deaths [254] deaths,nigeria [254] nigeria,knowing [254] knowing,deaths [253] cremechic11,privatized Top Word Pairs in Tweet in G6:
[222] clase,siglo [222] siglo,xviii [222] xviii,plaga [222] plaga,viruela [222] viruela,malaria [222] malaria,cólera [222] cólera,sarampión [222] sarampión,leyes [222] leyes,laborales [222] laborales,jornadas Top Word Pairs in Tweet in G7:
[132] #naijafarmertips,mosquitoes [132] mosquitoes,season [132] season,protect [132] protect,yourself [132] yourself,family [132] family,against [132] against,mosquito [132] mosquito,malaria [132] malaria,solution [132] solution,slice Top Word Pairs in Tweet in G8:
[94] time,polio [94] polio,resurgent [94] resurgent,monkeypox [94] monkeypox,re [94] re,emerging [94] emerging,marbug [94] marbug,ebola [94] ebola,outbreaks [94] outbreaks,becoming [94] becoming,more Top Word Pairs in Tweet in G9:
[14] #malaria,#dengue [11] insightful,yahoofinance [11] yahoofinance,report [11] report,highlighting [11] highlighting,vector [11] vector,borne [11] borne,disease [11] disease,africa [11] africa,such [11] such,#malaria Top Word Pairs in Tweet in G10:
[66] wasn,enough [66] enough,hungry [66] hungry,particular [66] particular,evening [66] evening,went [66] went,restaurant [66] restaurant,myself [66] myself,told [65] ade_authority,wasn [65] told,wan 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 G5:
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: