The graph represents a network of 2,069 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 Tuesday, 13 April 2021 at 03:22 UTC.
The requested start date was Monday, 12 April 2021 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, 23-hour, 9-minute period from Monday, 29 March 2021 at 00:22 UTC to Sunday, 11 April 2021 at 23:32 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 : 2069
Unique Edges : 1436
Edges With Duplicates : 4137
Total Edges : 5573
Number of Edge Types : 5
Retweet : 1806
MentionsInRetweet : 2475
Mentions : 784
Tweet : 471
Replies to : 37
Self-Loops : 498
Reciprocated Vertex Pair Ratio : 0.0384341637010676
Reciprocated Edge Ratio : 0.0740233036326251
Connected Components : 270
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 1176
Maximum Edges in a Connected Component : 4092
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.991236
Graph Density : 0.000681984120380714
Modularity : 0.462621
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,069 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 Tuesday, 13 April 2021 at 03:22 UTC.
The requested start date was Monday, 12 April 2021 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, 23-hour, 9-minute period from Monday, 29 March 2021 at 00:22 UTC to Sunday, 11 April 2021 at 23:32 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:
[96] march,2021 [96] mining,arc [95] gene,expression [95] report,#arco [95] #arco,minero [95] minero,orinoco [95] orinoco,mining [95] arc,newsletter [95] newsletter,#23 [95] #23,march Top Word Pairs in Tweet in G1:
[67] #malaria,research [67] gene,expression [65] recruiting,interested [65] interested,#malaria [65] #malaria,gene [65] expression,regulation [65] regulation,predoc [65] predoc,#postdoc [65] #postdoc,position [65] position,open Top Word Pairs in Tweet in G2:
[31] against,#malaria [24] fight,against [18] #malaria,free [17] certified,#malaria [17] around,world [16] #malaria,elimination [15] country,certified [15] learn,more [14] first,country [14] free,century Top Word Pairs in Tweet in G3:
[26] take,#malaria [26] #malaria,pill [14] forget,take [12] remember,take [12] pill,hope [8] sets,aside [8] aside,20m [8] 20m,fight [8] fight,#malaria [8] #malaria,#angola Top Word Pairs in Tweet in G4:
[62] #happeningnow,virtual [62] virtual,meeting [62] meeting,#commonwealth [62] #commonwealth,commitment [62] commitment,halving [62] halving,#malaria [62] #malaria,2023 [62] 2023,agreed [62] agreed,#chogm2018 [61] commonwealthsec,#happeningnow Top Word Pairs in Tweet in G5:
[96] mining,arc [95] report,#arco [95] #arco,minero [95] minero,orinoco [95] orinoco,mining [95] arc,newsletter [95] newsletter,#23 [95] #23,march [95] march,2021 [95] 2021,sosorinoco Top Word Pairs in Tweet in G6:
[66] much,#plasticpollution [66] #plasticpollution,empty [66] empty,water [66] water,pop [66] pop,bottles [66] bottles,etc [66] etc,kampala [66] kampala,time [65] laurie_garrett,much [65] time,downpo Top Word Pairs in Tweet in G7:
[20] #malaria,#vaccine [19] harnessing,power [19] power,white [19] white,blood [19] blood,cells [19] cells,key [19] key,effective [19] effective,#malaria [19] #vaccine,important [19] important,study Top Word Pairs in Tweet in G8:
[14] access,ivermectin [12] meta,analysis [9] provides,evidence [9] #rt,aplma_malaria [8] millions,children [8] children,weighing [8] weighing,less [8] less,15kg [8] 15kg,currently [8] currently,denied Top Word Pairs in Tweet in G9:
[14] commentary,drannastewart [14] drannastewart,drrachellowe [14] drrachellowe,wmo [14] wmo,incorporating [14] incorporating,climate [14] climate,data [14] data,#climateservices [13] isabelkfletcher,commentary [13] #climateservices,heal [9] paper,mapping Top Word Pairs in Tweet in G10:
[14] #isglobal,international [14] international,#phd [14] #phd,fellowships [14] fellowships,programme [14] programme,#globalhealth [14] #globalhealth,2021 [14] 2021,phd [14] phd,scholarships [14] scholarships,available [14] available,research Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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Top Tweeters in G9:
Top Tweeters in G10: