The graph represents a network of 3,400 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, 08 June 2020 at 04:56 UTC.
The requested start date was Monday, 08 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 9-hour, 15-minute period from Monday, 25 May 2020 at 00:14 UTC to Sunday, 07 June 2020 at 09:29 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 : 3400
Unique Edges : 2323
Edges With Duplicates : 5387
Total Edges : 7710
Number of Edge Types : 5
Replies to : 152
Retweet : 2357
MentionsInRetweet : 3195
Mentions : 1300
Tweet : 706
Self-Loops : 793
Reciprocated Vertex Pair Ratio : 0.0245353159851301
Reciprocated Edge Ratio : 0.0478955007256894
Connected Components : 559
Single-Vertex Connected Components : 294
Maximum Vertices in a Connected Component : 1805
Maximum Edges in a Connected Component : 5186
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.815745
Graph Density : 0.000357717667826177
Modularity : 0.514763
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,400 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, 08 June 2020 at 04:56 UTC.
The requested start date was Monday, 08 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 9-hour, 15-minute period from Monday, 25 May 2020 at 00:14 UTC to Sunday, 07 June 2020 at 09:29 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 G2:
[36] take,#malaria [29] #malaria,pill [29] covid,19 [28] #hiv,#malaria [28] #malaria,drug [28] forget,take [28] remember,take [28] pill,hope [28] र,य [28] #covid19,#malaria Top Word Pairs in Tweet in G3:
[28] #malaria,research [27] translational,#malaria [23] pi,position [19] junior,pi [15] position,available [14] available,heidelberg [13] heidelberg,translational [13] research,please [11] please,see [10] frischknechtlab,junior Top Word Pairs in Tweet in G4:
[82] 1st,europeans [80] europeans,came [76] came,americas [74] americas,90 [74] 90,native [74] native,populations [74] populations,died [74] died,#measles [74] #measles,#flu [73] #flu,#smallpox Top Word Pairs in Tweet in G5:
[190] #covid19,#malaria [190] #malaria,similar [190] similar,symptoms [190] symptoms,cautious [190] cautious,know [190] know,same [190] same,treated [190] fmohnigeria,#covid19 [190] treated,differen [190] 9th,june Top Word Pairs in Tweet in G6:
[45] àª,ઠ[41] pandemic,forget [41] forget,save [41] save,yourself [41] yourself,concurrent [41] concurrent,diseases [41] diseases,#askyourpharmacist [40] #askyourpharmacist,minor [40] minor,ailments [13] chetanparmar00,pandemic Top Word Pairs in Tweet in G7:
[378] thanks,llinaslab [168] llinaslab,making [168] making,fantastic [168] fantastic,#malaria [168] #malaria,rnaseq [168] rnaseq,dataset [141] dataset,available [141] available,biorxivpreprint [141] biorxivpreprint,over [44] over,100 Top Word Pairs in Tweet in G8:
[12] #malaria,drug [12] realdonaldtrump,#malaria [12] ಭ,ರತದ [12] ರತದ,'ಕ [12] 'ಕ,ವ [12] ವ,ನ [12] ನ,' [12] ',ಮ [12] ಮ,ಲ [12] ಲ,ವ Top Word Pairs in Tweet in G9:
[8] hidroxicloroquina,lleva [5] lleva,mas [4] siendo,efectiva [4] efectiva,diferentes [4] diferentes,enfermedades [4] enfermedades,#malaria [4] #malaria,#artritisreumatoide [4] mardagaori,hidroxicloroquina [4] mas,décadas [4] décadas,siendo Top Word Pairs in Tweet in G10:
[37] h1n1,time [37] time,beds [37] beds,created [37] created,time [37] time,monitoring [37] monitoring,beds [37] beds,done [36] done,ac [27] ac,portacabins [27] portacabins,set Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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