The graph represents a network of 2,103 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 Monday, 21 March 2022 at 03:47 UTC.
The requested start date was Monday, 21 March 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 13-day, 10-hour, 28-minute period from Monday, 07 March 2022 at 01:32 UTC to Sunday, 20 March 2022 at 12:00 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 : 2103
Unique Edges : 2017
Edges With Duplicates : 5118
Total Edges : 7135
Number of Edge Types : 5
Retweet : 2174
MentionsInRetweet : 3409
Tweet : 512
Mentions : 1006
Replies to : 34
Self-Loops : 540
Reciprocated Vertex Pair Ratio : 0.0437219730941704
Reciprocated Edge Ratio : 0.083780880773362
Connected Components : 163
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 1670
Maximum Edges in a Connected Component : 6498
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.806967
Graph Density : 0.000842437494712144
Modularity : 0.426799
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,103 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 Monday, 21 March 2022 at 03:47 UTC.
The requested start date was Monday, 21 March 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 13-day, 10-hour, 28-minute period from Monday, 07 March 2022 at 01:32 UTC to Sunday, 20 March 2022 at 12:00 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:
[99] #tb,#malaria [82] #fightforwhatcounts,#powerofmore [82] #powerofmore,#thebeatcontinues [75] fight,against [73] #hiv,#tb [67] #malaria,parasites [62] against,#malaria [60] #dengue,#malaria [58] #malaria,vaccine [45] malaria,vaccine Top Word Pairs in Tweet in G1:
[41] take,#malaria [41] #malaria,pill [25] forget,take [21] #tuberculosis,#malaria [18] #malaria,vaccine [18] covid,19 [16] remember,take [16] pill,hope [14] #dengue,#malaria [14] first,approval Top Word Pairs in Tweet in G2:
[75] #fightforwhatcounts,#powerofmore [75] #powerofmore,#thebeatcontinues [63] #tb,#malaria [47] #hiv,#tb [38] #thebeatcontinues,#meetthetarget [33] yhag20,call [31] #meetthetarget,18b [31] joined,#globalweekofaction [30] nothing,nets [28] united,beat Top Word Pairs in Tweet in G3:
[29] #malaria,parasites [27] #malaria,control [27] study,bmcmedicine [26] dr,lina [26] looking,#datamanager [26] save,date [25] lina,finda [23] ifakarahealth,dr [23] individual,patient [23] patient,data Top Word Pairs in Tweet in G4:
[35] fight,against [31] against,#malaria [21] pregnant,women [18] risk,#malaria [13] endmalaria,#dyk [11] #dyk,pregnant [11] women,increased [11] increased,risk [11] #malaria,illness [11] illness,severe Top Word Pairs in Tweet in G5:
[29] #malaria,vaccine [18] paper,rts [18] rts,#malaria [18] vaccine,recommendation [18] recommendation,recommends [18] recommends,wider [18] wider,use [18] use,vaccine [18] vaccine,reduce [18] reduce,malaria Top Word Pairs in Tweet in G6:
[17] #malaria,parasites [16] 2022,apr [16] apr,issue [16] issue,reviews [16] reviews,#rbc [16] #rbc,membrane [16] membrane,biomechanics [16] biomechanics,#plasmodium [16] #plasmodium,invasion [16] invasion,#protozoan Top Word Pairs in Tweet in G7:
[3] #dengue,#malaria [3] #tb,#malaria [3] treatment,#malaria [3] #malaria,treatment [2] malaria,parasites [2] parasites,evading [2] evading,detection [2] treat,#malaria [2] #epidemics,#pandemic_dynamics [2] #pandemic_dynamics,#lead Top Word Pairs in Tweet in G8:
[14] unitaid,funded [12] funded,#bohemiaproject [10] 1st,round [10] round,mass [10] parasites,evading [10] evading,detection [10] detection,tests [8] mass,drug [8] drug,administration [8] fight,#malaria Top Word Pairs in Tweet in G9:
[21] #malaria,prevalence [21] prevalence,higher [21] higher,african [21] african,villages [21] villages,irrigated [21] irrigated,rice [21] rice,fields [21] fields,research [21] research,appears [21] appears,reverse Top Word Pairs in Tweet in G10:
[6] #dengue,#malaria [5] #malaria,#chikungunya [4] gutter,guppi [4] guppi,fish [4] fish,seen [4] seen,use [4] use,eat [4] eat,#larvae [4] #larvae,#dengue [4] #chikungunya,#mosquitoes Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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: