The graph represents a network of 2,848 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, 27 September 2021 at 03:48 UTC.
The requested start date was Monday, 27 September 2021 at 00:01 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, 8-hour, 52-minute period from Monday, 13 September 2021 at 01:53 UTC to Sunday, 26 September 2021 at 10:45 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 : 2848
Unique Edges : 1694
Edges With Duplicates : 4946
Total Edges : 6640
Number of Edge Types : 5
Retweet : 2105
MentionsInRetweet : 2628
Mentions : 1126
Tweet : 715
Replies to : 66
Self-Loops : 759
Reciprocated Vertex Pair Ratio : 0.0320074580484773
Reciprocated Edge Ratio : 0.0620295091839807
Connected Components : 458
Single-Vertex Connected Components : 234
Maximum Vertices in a Connected Component : 1398
Maximum Edges in a Connected Component : 4096
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.490928
Graph Density : 0.000409582529214667
Modularity : 0.477311
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,848 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, 27 September 2021 at 03:48 UTC.
The requested start date was Monday, 27 September 2021 at 00:01 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, 8-hour, 52-minute period from Monday, 13 September 2021 at 01:53 UTC to Sunday, 26 September 2021 at 10:45 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:
[188] #dengue,#malaria [133] conjunto,dra [133] dra,elia [133] elia,sánchez [133] sánchez,directora [133] directora,regional [133] regional,saneamiento [133] saneamiento,ambiental [133] ambiental,equipo [133] equipo,municipio Top Word Pairs in Tweet in G1:
[66] against,#malaria [43] #tb,#malaria [34] fight,against [33] #hiv,#tb [29] nothingbutnets,today [28] spending,time [28] time,nothingbutnets [28] critical,role [26] role,congress [26] congress,plays Top Word Pairs in Tweet in G2:
[40] #dengue,#malaria [27] take,#malaria [27] #malaria,pill [24] ड,ग [21] #malaria,#dengue [16] र,य [14] forget,take [13] remember,take [13] pill,hope [12] ग,क Top Word Pairs in Tweet in G3:
[133] conjunto,dra [133] dra,elia [133] elia,sánchez [133] sánchez,directora [133] directora,regional [133] regional,saneamiento [133] saneamiento,ambiental [133] ambiental,equipo [133] equipo,municipio [133] municipio,#sucre Top Word Pairs in Tweet in G4:
[25] 2nd,article [25] article,#zoonotic [25] #zoonotic,#malaria [25] #malaria,series [25] series,focus [25] focus,epidemiology [25] epidemiology,knowesi [25] knowesi,role [25] role,deforestation [24] drheatherferg,2nd Top Word Pairs in Tweet in G5:
[30] melfran,herrera [29] minutos,niño [29] niño,muere [29] muere,#malaria [29] #malaria,áfrica [27] msf_espana,minutos [27] 430,000 [25] conoces,enemigo [25] enemigo,conoces [25] conoces,ti Top Word Pairs in Tweet in G6:
[35] #malaria,induced [35] induced,bacteremia [35] bacteremia,consequence [35] consequence,multiple [35] multiple,parasite [35] parasite,survival [35] survival,strategies [33] microbesinfect,#malaria [20] strategies,#openacc [7] day,webinar Top Word Pairs in Tweet in G7:
[94] one,platforms [94] platforms,health [94] health,focus [94] focus,improving [94] improving,protecting [94] protecting,community [94] community,health [94] health,well [94] well,being [94] being,emphasis Top Word Pairs in Tweet in G8:
[19] #malaria,leading [19] leading,cause [19] cause,deaths [19] deaths,ugandans [19] ugandans,accounting [19] accounting,over [19] over,27 [19] 27,deaths [19] deaths,january [19] january,2021 Top Word Pairs in Tweet in G9:
[49] remembering,sir [49] sir,ronald [49] ronald,ross [49] ross,death [49] death,anniversary [49] anniversary,british [49] british,medical [49] medical,doctor [49] doctor,received [49] received,nobel Top Word Pairs in Tweet in G10:
[38] despite,#covid19 [38] #covid19,pressure [38] pressure,health [38] health,systems [38] systems,#malaria [38] #malaria,control [38] control,#rwanda [38] #rwanda,attained [38] attained,remarkable [38] remarkable,results Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: