The graph represents a network of 3,756 Twitter users whose recent tweets contained "#malaria", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 2297-day, 7-hour, 12-minute period from Saturday, 05 November 2016 at 17:47 UTC to Monday, 20 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3756
Unique Edges : 2908
Edges With Duplicates : 8938
Total Edges : 11846
Number of Edge Types : 9
Tweet : 878
Mentions : 1445
Retweet : 3511
MentionsInRetweet : 5155
Quote : 141
MentionsInQuote : 224
MentionsInReplyTo : 304
Replies to : 182
MentionsInQuoteReply : 6
Self-Loops : 1284
Reciprocated Vertex Pair Ratio : 0.0383432808826189
Reciprocated Edge Ratio : 0.0738547291412646
Connected Components : 474
Single-Vertex Connected Components : 279
Maximum Vertices in a Connected Component : 2673
Maximum Edges in a Connected Component : 9922
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.511316
Graph Density : 0.000407053995453701
Modularity : 0.428999
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,756 Twitter users whose recent tweets contained "#malaria", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 2297-day, 7-hour, 12-minute period from Saturday, 05 November 2016 at 17:47 UTC to Monday, 20 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[146] climate,change [140] community,health [128] burden,#malaria [127] against,#malaria [105] #malaria,#africa [102] fully,funded [100] sub,saharan [89] join,fully [89] #africa,join [89] funded,#phd Top Word Pairs in Tweet in G1:
[37] #genomics,#bioinformatic [37] #bioinformatic,#epidemiology [37] #phd,#postdoctoral [37] fellowship,#malaria [37] #postdoctoral,fellowship [37] #malaria,#genomics [37] #epidemiology,check [36] sub,saharan [36] chiananadou,#phd [35] world,#malaria Top Word Pairs in Tweet in G2:
[102] community,health [63] malaria,child [56] child,still [56] world,made [56] fight,defeat [56] defeat,malaria [56] incredible,progress [56] dies,#malaria [56] made,incredible [56] still,dies Top Word Pairs in Tweet in G3:
[55] #malaria,pill [55] take,#malaria [28] pill,hope [28] remember,take [27] forget,take [11] #africa,#health [10] rewards,#southafrica [10] #southafrica,#malariaelimination [10] #malariaelimination,efforts [10] #development,#malaria Top Word Pairs in Tweet in G4:
[24] sequencing,#malaria [24] nanopore,sequencing [23] share,preprint [23] effective,targeted [23] approach,flexible [23] preprint,approach [23] cost,effective [23] excited,share [23] targeted,nanopore [23] flexible,cost Top Word Pairs in Tweet in G5:
[30] #malaria,vaccine [24] fight,against [24] drtedros,globalgoalsun [24] globalgoalsun,unep [24] against,#malaria [23] access,powerful [23] millions,more [23] #malaria,millions [23] more,people [23] powerful,tool Top Word Pairs in Tweet in G6:
[37] scientists,ifakarahealth [37] ifakarahealth,#tanzania [36] revolutionary,algorithm [36] ai,breakthrough [36] uofglasgow,developed [36] developed,revolutionary [36] #tanzania,uofglasgow [36] breakthrough,scientists [35] scidevnetssa,ai [28] #malaria,vector Top Word Pairs in Tweet in G7:
[19] immunity,against [16] lab,unravels [16] faithosier,lab [16] against,#pfalciparum [16] evolves,children [16] unravels,#naturalkiller [16] #naturalkiller,immunity [14] positions,available [14] kräusslich,barbara [14] phd,postdoc Top Word Pairs in Tweet in G8:
[86] fully,funded [73] #africa,join [73] funded,#phd [73] #malaria,#africa [73] join,fully [53] #callforapplications,passionate [53] burden,#malaria [53] reducing,burden [53] passionate,reducing [51] aims_rwanda,#callforapplications Top Word Pairs in Tweet in G9:
[77] #embed,project [70] familyhealthin,#embed [65] #embed,team [55] #malaria,#malariafreeindia [54] #malariafreeindia,sksomya [51] team,sheopur [50] sksomya,rajesh_amh [46] project,balaghat [32] #malaria,#embed [30] ट,म Top Word Pairs in Tweet in G10:
[17] advisor,looking [17] break,twitter [17] looking,grow [17] glide_ae,hiring [17] hiring,senior [17] senior,technical [17] twitter,pause [17] time,break [17] technical,advisor [17] pause,glide_ae Top Replied-To in Entire Graph:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: