The graph represents a network of 3,738 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 2290-day, 6-hour, 27-minute period from Saturday, 05 November 2016 at 17:47 UTC to Monday, 13 February 2023 at 00:15 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 : 3738
Unique Edges : 2943
Edges With Duplicates : 9096
Total Edges : 12039
Number of Edge Types : 9
Retweet : 3481
MentionsInRetweet : 5325
Tweet : 909
Mentions : 1471
MentionsInReplyTo : 340
MentionsInQuote : 186
Replies to : 185
Quote : 136
MentionsInQuoteReply : 6
Self-Loops : 1322
Reciprocated Vertex Pair Ratio : 0.0363274896078077
Reciprocated Edge Ratio : 0.0701081269619812
Connected Components : 507
Single-Vertex Connected Components : 274
Maximum Vertices in a Connected Component : 2270
Maximum Edges in a Connected Component : 9265
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.03485
Graph Density : 0.000410483111562208
Modularity : 0.42745
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,738 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 2290-day, 6-hour, 27-minute period from Saturday, 05 November 2016 at 17:47 UTC to Monday, 13 February 2023 at 00:15 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:
[142] community,health [137] safety,communities [137] dedicate,themselves [137] selflessly,dedicate [137] ensuring,health [137] health,safety [137] communities,#sdgs [137] those,selflessly [137] themselves,ensuring [137] #sdgs,#malaria Top Word Pairs in Tweet in G1:
[42] #genomics,#bioinformatic [42] #bioinformatic,#epidemiology [42] #phd,#postdoctoral [42] fellowship,#malaria [42] #postdoctoral,fellowship [42] #malaria,#genomics [42] #epidemiology,check [41] chiananadou,#phd [34] bagamoyo,zanzibar [34] #malaria,course Top Word Pairs in Tweet in G2:
[109] community,health [57] health,workers [53] supporting,178 [53] worker,supporting [53] workers,leading [53] neema,community [53] reach,#healthforall [53] fight,reach [53] #healthforall,neema [53] health,worker Top Word Pairs in Tweet in G3:
[61] #malaria,pill [61] take,#malaria [31] pill,hope [31] remember,take [30] forget,take [13] #dengue,#malaria [11] #africa,#health [10] rewards,#southafrica [10] #southafrica,#malariaelimination [10] #malariaelimination,efforts Top Word Pairs in Tweet in G4:
[41] fight,against [41] against,#malaria [39] #malaria,millions [39] powerful,tool [39] more,people [39] millions,more [39] gatesfoundation,major [39] milestone,fight [39] access,powerful [39] people,access Top Word Pairs in Tweet in G5:
[41] #malaria,vaccine [40] globalgoalsun,unep [40] drtedros,globalgoalsun [18] first,#malaria [16] use,#malaria [16] following,recommendation [16] recommendation,widespread [16] vaccine,28 [16] vaccine,rts [16] unep,following Top Word Pairs in Tweet in G6:
[137] dedicate,themselves [137] safety,communities [137] selflessly,dedicate [137] themselves,ensuring [137] health,safety [137] those,selflessly [137] ensuring,health [137] kudos,those [137] communities,#sdgs [137] #sdgs,#malaria Top Word Pairs in Tweet in G7:
[103] #embed,team [80] #embed,project [78] sksomya,rajesh_amh [69] familyhealthin,#embed [60] team,sheopur [57] #malaria,#malariafreeindia [54] community,awareness [51] #malaria,#embed [41] #malariafreeindia,sksomya [40] ट,म Top Word Pairs in Tweet in G8:
[49] anopheles,stephensi [37] stephensi,africa [24] experts,country [24] global,experts [22] 41st,edition [22] ifakara,masterclasses [22] edition,ifakara [21] featuring,global [21] africa,41st [21] masterclasses,featuring Top Word Pairs in Tweet in G9:
[27] diseases,such [26] measures,take [26] yourself,family [26] take,protect [26] such,#dengue [26] family,diseases [26] #dengue,#malaria [26] protect,yourself [26] simple,measures [25] whowpro,simple Top Word Pairs in Tweet in G10:
[46] studentship,kemri_wellcome [46] targeted,#malaria [46] group,framework [46] kemri_wellcome,phu_kemri_wt [46] understand,impact [46] impact,targeted [46] phu_kemri_wt,group [46] framework,understand [46] #phd,studentship [45] #malaria,chemopreve 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 G4:
Top Replied-To in G5:
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: