The graph represents a network of 2,350 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, 12 December 2022 at 05:21 UTC.
The requested start date was Monday, 12 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 11-day, 9-hour, 59-minute period from Monday, 28 November 2022 at 02:00 UTC to Friday, 09 December 2022 at 12:00 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 : 2350
Unique Edges : 1641
Edges With Duplicates : 4690
Total Edges : 6331
Number of Edge Types : 5
Retweet : 2046
MentionsInRetweet : 2772
Tweet : 503
Mentions : 976
Replies to : 34
Self-Loops : 527
Reciprocated Vertex Pair Ratio : 0.0327709279688514
Reciprocated Edge Ratio : 0.0634621426327364
Connected Components : 304
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 1490
Maximum Edges in a Connected Component : 4639
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.965556
Graph Density : 0.0005766147659031
Modularity : 0.442993
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,350 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, 12 December 2022 at 05:21 UTC.
The requested start date was Monday, 12 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 11-day, 9-hour, 59-minute period from Monday, 28 November 2022 at 02:00 UTC to Friday, 09 December 2022 at 12:00 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 Entire Graph:
[226] र,य [191] त,सगढ [185] #malaria,cases [184] छत,त [184] श,र [146] अभ,य [142] क,स [137] स,बर [137] द,स [123] 2020,2021 Top Word Pairs in Tweet in G1:
[126] #malaria,cases [96] slower,rate [96] period,2019 [96] cases,continued [96] 2020,2021 [96] between,2020 [96] 2021,slower [96] rise,between [96] continued,rise [96] 2019,2020 Top Word Pairs in Tweet in G2:
[30] meta,analysis [27] treatment,guidelines [27] #malaria,cases [24] looking,#datamanager [20] pyronaridine,artesunate [19] mesamalaria,#malaria [19] antimalarial,drug [19] #malaria,deadlines [19] deadlines,week [18] #malaria,first Top Word Pairs in Tweet in G3:
[29] #hiv,#tuberculosis [28] eliminating,#hiv [27] beef,efforts [27] efforts,eliminating [27] look,beef [27] #leavenoonebehind,look [26] #tuberculosis,aâ [26] eannaso,#leavenoonebehind [21] #tuberculosis,#malaria [20] community,groups Top Word Pairs in Tweet in G4:
[28] àª,ઠ[22] #malaria,pill [22] take,#malaria [12] forget,take [11] #volunteer,#volunteering [11] #doctor,#healthcare [11] #volunteering,#volunteers [11] #freehealthcare,#outreach [11] #makingadifference,#makingadifferenceinuganda [11] #nurse,#doctor Top Word Pairs in Tweet in G5:
[52] looking,perfect [52] experience,#malaria [52] #postdoc,2023 [52] perfect,first [52] 2023,experience [52] first,#postdoc [52] soon,looking [52] submitting,thesis [52] iâ,submitting [52] thesis,soon Top Word Pairs in Tweet in G6:
[14] highlight,faimanr [14] mafaldasviana,highlight [14] al's,natureecoevo [14] #aestivation,major [14] drs,baldini_fra [14] baldini_fra,mafaldasviana [14] faimanr,al's [14] natureecoevo,article [14] trendsparasitol,drs [14] article,#aestivation Top Word Pairs in Tweet in G7:
[74] global,temperatures [74] #malaria,spread [74] climate,change [74] resulting,climate [74] temperatures,resulting [74] change,enabling [74] regions,previously [74] previously,regarded [74] enabling,#malaria [74] rising,global Top Word Pairs in Tweet in G8:
[192] र,य [177] त,सगढ [177] श,र [177] छत,त [139] अभ,य [137] स,बर [137] द,स [136] क,स [99] य,न' [98] सगढ,अभ Top Word Pairs in Tweet in G9:
[3] suits_,joekiddone [3] african,beware [3] joekiddone,terminator_4 [3] sweettina2,suits_ [3] terminator_4,amazinggoa [3] amazinggoa,fatwhiteman [3] beware,sweettina2 [2] business,plans [2] jdcburnhil,hughcam34026215 [2] dave0909090909,jdcburnhil Top Word Pairs in Tweet in G10:
[33] claim,malaria [33] probably,heard [33] heard,claim [33] humans,lived [33] lived,although [33] although,overstatement [33] killed,half [33] half,humans [33] malaria,killed [32] immunifylife,probably 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 G5:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: