The graph represents a network of 3,873 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 2018-day, 10-hour, 5-minute period from Friday, 28 July 2017 at 14:48 UTC to Monday, 06 February 2023 at 00:53 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 : 3873
Unique Edges : 3033
Edges With Duplicates : 8984
Total Edges : 12017
Number of Edge Types : 9
Retweet : 3425
MentionsInRetweet : 5243
Tweet : 968
Mentions : 1468
MentionsInQuote : 183
MentionsInReplyTo : 394
Replies to : 196
Quote : 134
MentionsInQuoteReply : 6
Self-Loops : 1368
Reciprocated Vertex Pair Ratio : 0.0333511681826289
Reciprocated Edge Ratio : 0.0645495340006904
Connected Components : 544
Single-Vertex Connected Components : 284
Maximum Vertices in a Connected Component : 2286
Maximum Edges in a Connected Component : 9016
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.095441
Graph Density : 0.00038636310289715
Modularity : 0.437113
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,873 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 2018-day, 10-hour, 5-minute period from Friday, 28 July 2017 at 14:48 UTC to Monday, 06 February 2023 at 00:53 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:
[136] safety,communities [136] dedicate,themselves [136] selflessly,dedicate [136] ensuring,health [136] health,safety [136] communities,#sdgs [136] those,selflessly [136] themselves,ensuring [136] #sdgs,#malaria [136] kudos,those Top Word Pairs in Tweet in G1:
[120] community,health [65] health,workers [61] vivax,#malaria [59] cure,vivax [59] radical,cure [55] workers,leading [55] leading,fight [55] fight,reach [55] supporting,178 [55] worker,supporting Top Word Pairs in Tweet in G2:
[65] take,#malaria [65] #malaria,pill [33] remember,take [33] pill,hope [32] forget,take [11] #africa,#health [10] #who,rewards [10] #health,#development [10] rewards,#southafrica [10] #southafrica,#malariaelimination Top Word Pairs in Tweet in G3:
[60] #africa,possible [60] ending,#malaria [60] possible,need [48] need,political [48] political,commitment [48] #malaria,good [46] funding,strong [46] commitment,sustained [46] sustained,funding [37] strong,data Top Word Pairs in Tweet in G4:
[33] ifakarahealth,#tanzania [33] scientists,ifakarahealth [32] developed,revolutionary [32] breakthrough,scientists [32] ai,breakthrough [32] uofglasgow,developed [32] #tanzania,uofglasgow [32] revolutionary,algorithm [31] scidevnetssa,ai [27] bagamoyo,zanzibar Top Word Pairs in Tweet in G5:
[136] dedicate,themselves [136] those,selflessly [136] ensuring,health [136] themselves,ensuring [136] safety,communities [136] kudos,those [136] selflessly,dedicate [136] health,safety [136] #sdgs,#malaria [136] communities,#sdgs Top Word Pairs in Tweet in G6:
[71] fight,against [71] against,#malaria [69] people,access [69] major,milestone [69] #malaria,millions [69] access,powerful [69] more,people [69] powerful,tool [69] millions,more [69] gatesfoundation,major Top Word Pairs in Tweet in G7:
[36] #malaria,#genomics [36] #bioinformatic,#epidemiology [36] #postdoctoral,fellowship [36] fellowship,#malaria [36] #phd,#postdoctoral [36] #epidemiology,check [36] #genomics,#bioinformatic [35] chiananadou,#phd [32] helping,countries [32] consider,applying Top Word Pairs in Tweet in G8:
[49] anopheles,stephensi [39] stephensi,africa [26] experts,country [26] global,experts [24] 41st,edition [24] ifakara,masterclasses [24] edition,ifakara [23] featuring,global [23] africa,41st [23] masterclasses,featuring Top Word Pairs in Tweet in G9:
[96] #medtwitter,#foamed [70] decision,algorithm [70] #meded,#malaria [70] #foamed,#meded [70] algorithm,treatment [70] malaria,#medtwitter [70] treatment,malaria [69] manualomedicine,decision [26] #mede,#malaria [26] prevention,malaria Top Word Pairs in Tweet in G10:
[83] #embed,team [68] sksomya,rajesh_amh [58] #embed,project [55] familyhealthin,#embed [54] community,awareness [54] team,sheopur [51] #malaria,#embed [43] #malaria,#malariafreeindia [40] celebrated,students [36] #malaria,#dengue Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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: