The graph represents a network of 2,629 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 November 2021 at 03:48 UTC.
The requested start date was Monday, 08 November 2021 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 13-day, 10-hour, 43-minute period from Monday, 25 October 2021 at 01:08 UTC to Sunday, 07 November 2021 at 11:51 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 : 2629
Unique Edges : 1830
Edges With Duplicates : 4792
Total Edges : 6622
Number of Edge Types : 5
Retweet : 2078
MentionsInRetweet : 2734
Tweet : 705
Mentions : 1050
Replies to : 55
Self-Loops : 775
Reciprocated Vertex Pair Ratio : 0.0345803206538824
Reciprocated Edge Ratio : 0.0668489820723184
Connected Components : 437
Single-Vertex Connected Components : 219
Maximum Vertices in a Connected Component : 1344
Maximum Edges in a Connected Component : 4418
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.604112
Graph Density : 0.000476334387608532
Modularity : 0.474999
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,629 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 November 2021 at 03:48 UTC.
The requested start date was Monday, 08 November 2021 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 13-day, 10-hour, 43-minute period from Monday, 25 October 2021 at 01:08 UTC to Sunday, 07 November 2021 at 11:51 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:
[181] against,#malaria [160] #dengue,#malaria [107] #vaccine,against [106] official,#vaccine [106] #malaria,historical [106] historical,development [106] development,wef [104] wef,#innovation [99] #innovation,#mrna [96] mvollmer1,official Top Word Pairs in Tweet in G1:
[41] climate,change [40] against,#malaria [37] fight,against [29] alma_2030's,approach [29] approach,includes [29] includes,ensuring [29] ensuring,meaningful [29] meaningful,#youthengagement [29] #youthengagement,fight [29] #malaria,access Top Word Pairs in Tweet in G2:
[75] àª,ઠ[27] take,#malaria [27] #malaria,pill [24] ø,ø [21] #dengue,#malaria [17] ø,ù [16] ù,ø [14] ল,র [14] forget,take [13] ù,ù Top Word Pairs in Tweet in G3:
[24] #malaria,vaccine [18] vaccine,endorsed [17] endorsed,month [17] month,product [17] product,30 [17] 30,years [17] years,research [17] research,development [16] johnshopkins,#malaria [14] malaria,minute Top Word Pairs in Tweet in G4:
[106] official,#vaccine [106] #vaccine,against [106] against,#malaria [106] #malaria,historical [106] historical,development [106] development,wef [104] wef,#innovation [99] #innovation,#mrna [96] mvollmer1,official [8] #mrna,#vaccinecentury Top Word Pairs in Tweet in G5:
[28] horn,africa [26] increasingly,complex [26] complex,situation [26] situation,#malaria [26] #malaria,horn [26] africa,plasmodium [26] plasmodium,falciparum [26] falciparum,plasmodium [26] plasmodium,vivax [25] fredros_inc,increasingly Top Word Pairs in Tweet in G6:
[37] #covid19,#malaria [31] symptoms,#covid19 [31] #malaria,similar [31] similar,experience [31] experience,symptoms [31] symptoms,similar [31] similar,those [21] those,stated [19] healthza,symptoms [15] visit,health Top Word Pairs in Tweet in G7:
[33] hospimilptordaz,#malaria [24] #malaria,enfermedad [19] mantener,envases [19] envases,agua [19] agua,bien [19] bien,tapados [19] tapados,eliminar [19] eliminar,criaderos [19] criaderos,zancudos [19] zancudos,agua Top Word Pairs in Tweet in G8:
[29] estas,personas [29] personas,tienen [29] tienen,salvar [29] #pandemia,efectos [29] efectos,#cambioclimatico [29] #cambioclimatico,curar [28] elenagomezdiaz,estas [24] salvar,próxima [24] próxima,#pandemia [20] level,#globalwarming Top Word Pairs in Tweet in G9:
[31] malaria,américas [29] día,malaria [25] américas,ofrece [25] ofrece,oportunidad [25] oportunidad,países [25] países,fomenten [25] fomenten,participación [24] opsoms,día [12] agenda,política [11] contra,#malaria Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
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: