The graph represents a network of 2,685 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, 26 October 2020 at 03:16 UTC.
The requested start date was Monday, 26 October 2020 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, 15-hour, 31-minute period from Monday, 12 October 2020 at 00:29 UTC to Sunday, 25 October 2020 at 16:00 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 : 2685
Unique Edges : 1852
Edges With Duplicates : 4892
Total Edges : 6744
Number of Edge Types : 5
Tweet : 530
Mentions : 1021
Retweet : 2166
MentionsInRetweet : 2955
Replies to : 72
Self-Loops : 579
Reciprocated Vertex Pair Ratio : 0.0302245250431779
Reciprocated Edge Ratio : 0.0586756077116513
Connected Components : 352
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 1596
Maximum Edges in a Connected Component : 4834
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.010694
Graph Density : 0.000496632225728297
Modularity : 0.487878
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,685 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, 26 October 2020 at 03:16 UTC.
The requested start date was Monday, 26 October 2020 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, 15-hour, 31-minute period from Monday, 12 October 2020 at 00:29 UTC to Sunday, 25 October 2020 at 16:00 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:
[164] polio,program [128] #malaria,#ebola [124] don,stop [124] stop,delivering [124] delivering,polio [124] polio,vaccine [124] vaccine,#malaria [123] hiring,interested [123] interested,#malaria [123] #malaria,gene Top Word Pairs in Tweet in G1:
[34] against,#malaria [29] #malaria,cases [27] life,saving [25] global,action [25] action,partnership [25] partnership,amongst [25] amongst,countless [25] countless,organizations [25] organizations,throughout [25] throughout,#15yearsofpmi Top Word Pairs in Tweet in G2:
[118] polio,program [65] #malaria,#india [65] #india,348000 [65] 348000,cases [65] cases,2017 [65] 2017,16 [65] 16,310 [65] 310,died [65] died,737000 [65] 737000,cases Top Word Pairs in Tweet in G3:
[107] hiring,interested [107] interested,#malaria [107] #malaria,gene [107] gene,expression [107] expression,regulation [107] regulation,positions [107] positions,open [107] open,lab [107] lab,work [107] work,rna Top Word Pairs in Tweet in G4:
[28] take,#malaria [28] #malaria,pill [14] remember,take [14] pill,hope [14] forget,take [12] polio,program [9] #dengue,#malaria [7] covid,19 [7] #malaria,#ebola [6] #malaria,#dengue Top Word Pairs in Tweet in G5:
[19] vector,control [17] registrations,open [17] open,annual [17] annual,meeting [17] meeting,novel [17] novel,vector [17] control,strategies [17] strategies,vector [17] vector,borne [17] borne,disease Top Word Pairs in Tweet in G6:
[39] fight,against [37] #hiv,#tb [28] infectious,diseases [22] #tb,#malaria [19] mental,health [18] health,inextricably [18] inextricably,intertwined [18] intertwined,fight [18] against,infectious [18] diseases,peterasands Top Word Pairs in Tweet in G7:
[44] mosquito,net [38] reminder,always [38] always,test [38] test,kid [38] kid,#malaria [38] #malaria,within [38] within,24 [38] 24,hours [38] hours,fever [38] fever,make Top Word Pairs in Tweet in G8:
[14] anti,malarial [13] high,resolution [13] resolution,maps [13] maps,spatiotemporal [13] spatiotemporal,patterns [13] patterns,anti [13] malarial,drug [13] drug,effectiveness [13] effectiveness,uncomplicated [13] uncomplicated,#falciparum Top Word Pairs in Tweet in G9:
[65] pleased,announce [65] announce,cell [65] cell,resource [65] resource,natimmunol [65] natimmunol,today [65] today,map [65] map,transcriptomic [65] transcriptomic,epigenomic [64] drashhaque,pleased [18] cd4,cells Top Word Pairs in Tweet in G10:
[22] #aves,infectadas [22] infectadas,#malaria [22] #malaria,atractivas [22] atractivas,#mosquitos [22] #mosquitos,vectores [22] vectores,gt [22] gt,os [22] os,contamos [21] jmartinezpuente,#aves [21] contamos,nuestr 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: