The graph represents a network of 2,317 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, 05 April 2021 at 03:23 UTC.
The requested start date was Monday, 05 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, 11-hour, 9-minute period from Monday, 22 March 2021 at 00:58 UTC to Sunday, 04 April 2021 at 12:08 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 : 2317
Unique Edges : 1840
Edges With Duplicates : 5118
Total Edges : 6958
Number of Edge Types : 5
Retweet : 2129
MentionsInRetweet : 3195
Tweet : 502
Mentions : 1101
Replies to : 31
Self-Loops : 538
Reciprocated Vertex Pair Ratio : 0.0404624277456647
Reciprocated Edge Ratio : 0.0777777777777778
Connected Components : 273
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 1388
Maximum Edges in a Connected Component : 5240
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.502684
Graph Density : 0.000670869290063755
Modularity : 0.441828
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 2,317 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, 05 April 2021 at 03:23 UTC.
The requested start date was Monday, 05 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, 11-hour, 9-minute period from Monday, 22 March 2021 at 00:58 UTC to Sunday, 04 April 2021 at 12:08 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:
[94] mining,arc [94] march,2021 [93] gene,expression [93] report,#arco [93] #arco,minero [93] minero,orinoco [93] orinoco,mining [93] arc,newsletter [93] newsletter,#23 [93] #23,march Top Word Pairs in Tweet in G1:
[66] projects,#malaria [65] gómez,díaz [65] díaz,lab [65] lab,recruiting [65] recruiting,technician [65] technician,work [65] work,projects [65] #malaria,#epigenetics [65] #epigenetics,#mosquitoes [65] #mosquitoes,lab Top Word Pairs in Tweet in G2:
[23] against,#malaria [23] end,#malaria [23] high,level [22] #tb,#malaria [21] yl4hghana,marked [21] marked,close [21] close,event [21] event,today [21] today,year [21] year,long Top Word Pairs in Tweet in G3:
[26] take,#malaria [26] #malaria,pill [14] forget,take [12] remember,take [12] pill,hope [10] fight,#malaria [8] sets,aside [8] aside,20m [8] 20m,fight [8] #malaria,#angola Top Word Pairs in Tweet in G4:
[8] learn,more [7] #tb,#malaria [6] public,health [6] fight,against [6] severe,#malaria [6] against,#hiv [6] 2006,rti_intl [6] rti_intl,collaborated [6] collaborated,pmigov [6] pmigov,usaidtanzania Top Word Pairs in Tweet in G5:
[94] mining,arc [93] report,#arco [93] #arco,minero [93] minero,orinoco [93] orinoco,mining [93] arc,newsletter [93] newsletter,#23 [93] #23,march [93] march,2021 [93] 2021,sosorinoco Top Word Pairs in Tweet in G6:
[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 G7:
[24] access,ivermectin [19] millions,children [19] children,weighing [19] weighing,less [19] less,15kg [19] 15kg,currently [19] currently,denied [19] denied,access [19] ivermectin,treatment [19] meta,analysis Top Word Pairs in Tweet in G8:
[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 G9:
[53] recruiting,interested [53] interested,#malaria [53] #malaria,gene [53] gene,expression [53] expression,regulation [53] regulation,predoc [53] predoc,#postdoc [53] #postdoc,position [53] position,open [52] modrzynskalab,recruiting Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G7:
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:
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Top Tweeters in G9:
Top Tweeters in G10: