The graph represents a network of 4,214 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 05:20 UTC.
The tweets in the network were tweeted over the 2038-day, 15-hour, 37-minute period from Saturday, 17 June 2017 at 09:15 UTC to Monday, 16 January 2023 at 00:52 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 : 4214
Unique Edges : 2835
Edges With Duplicates : 8593
Total Edges : 11428
Number of Edge Types : 9
Retweet : 3439
MentionsInRetweet : 4817
Quote : 130
MentionsInQuote : 172
Tweet : 966
Mentions : 1273
Replies to : 210
MentionsInReplyTo : 417
MentionsInQuoteReply : 4
Self-Loops : 1316
Reciprocated Vertex Pair Ratio : 0.0295229522952295
Reciprocated Edge Ratio : 0.0573526840356706
Connected Components : 544
Single-Vertex Connected Components : 319
Maximum Vertices in a Connected Component : 2429
Maximum Edges in a Connected Component : 7935
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.580539
Graph Density : 0.000322132175918077
Modularity : 0.459149
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,214 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 05:20 UTC.
The tweets in the network were tweeted over the 2038-day, 15-hour, 37-minute period from Saturday, 17 June 2017 at 09:15 UTC to Monday, 16 January 2023 at 00:52 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:
[335] #hiv,#malaria [308] recht,indem [308] fakten,ausspricht [308] einfache,fakten [308] sowas,recht [308] ausspricht,#hiv [308] mann,sowas [308] indem,einfache [305] #malaria,endemisch [303] endemisch,rechtfertigt Top Word Pairs in Tweet in G1:
[49] deputy,director [46] #malaria,vaccine [44] #malaria,cases [42] first,#malaria [38] first,28 [38] fight,against [38] past,first [38] 28,days [37] diseases,diarrhoea [37] children,survive Top Word Pairs in Tweet in G2:
[308] recht,indem [308] fakten,ausspricht [308] #hiv,#malaria [308] ausspricht,#hiv [308] mann,sowas [308] indem,einfache [308] sowas,recht [308] einfache,fakten [305] #malaria,endemisch [303] endemisch,rechtfertigt Top Word Pairs in Tweet in G3:
[69] take,#malaria [68] #malaria,pill [34] forget,take [34] remember,take [34] pill,hope [21] र,य [18] क,त [18] छत,त [18] त,सगढ [15] मल,र Top Word Pairs in Tweet in G4:
[161] millions,more [161] people,access [161] access,powerful [161] powerful,tool [161] milestone,fight [161] #malaria,millions [161] more,people [161] fight,against [161] against,#malaria [161] major,milestone Top Word Pairs in Tweet in G5:
[47] radical,cure [43] vivax,#malaria [42] cure,vivax [25] clinical,trial [20] trial,data [20] higher,doses [20] #malaria,found [20] using,wwarn [20] wwarn,hosted [20] research,using Top Word Pairs in Tweet in G6:
[78] themselves,ensuring [78] kudos,those [78] safety,communities [78] selflessly,dedicate [78] ensuring,health [78] health,safety [78] communities,#sdgs [78] those,selflessly [78] dedicate,themselves [78] #sdgs,#malaria Top Word Pairs in Tweet in G7:
[18] eliminating,#malaria [12] spectroscopy,#malaria [12] analyses,eliminating [12] team's,advances [12] phd,improving [12] surveillance,mwanga [12] african,conversations [12] happy,team's [12] design,vector [12] using,ai Top Word Pairs in Tweet in G8:
[21] #malaria,#dengue [20] #straydogs,killing [20] #mosquitoes,spread [20] killing,#wildlife [20] spread,#malaria [17] murdering,#humanresources [17] #humanresources,#children [15] #children,#indians [13] #scars,#dogpoops [13] #terror,#scars Top Word Pairs in Tweet in G9:
[32] #malaria,good [32] political,commitment [32] #africa,possible [32] ending,#malaria [32] good,#africa [32] possible,need [32] need,political [30] sustained,funding [30] funding,strong [30] commitment,sustained Top Word Pairs in Tweet in G10:
[164] क,त [128] छत,त [128] त,सगढ [128] र,य [123] म,क [85] मल,र [82] य,म [82] सगढ,अभ [82] अभ,य [82] त,छत Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: