The graph represents a network of 2,292 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, 18 April 2022 at 03:47 UTC.
The requested start date was Monday, 18 April 2022 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 11-day, 7-hour, 57-minute period from Monday, 04 April 2022 at 04:01 UTC to Friday, 15 April 2022 at 11:58 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 : 2292
Unique Edges : 2410
Edges With Duplicates : 5482
Total Edges : 7892
Number of Edge Types : 5
Retweet : 2424
MentionsInRetweet : 4173
Mentions : 810
Tweet : 448
Replies to : 37
Self-Loops : 482
Reciprocated Vertex Pair Ratio : 0.0264963330967589
Reciprocated Edge Ratio : 0.0516247983406315
Connected Components : 144
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 1920
Maximum Edges in a Connected Component : 7273
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.850629
Graph Density : 0.000826323202637531
Modularity : 0.461589
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,292 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, 18 April 2022 at 03:47 UTC.
The requested start date was Monday, 18 April 2022 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 11-day, 7-hour, 57-minute period from Monday, 04 April 2022 at 04:01 UTC to Friday, 15 April 2022 at 11:58 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:
[408] #dengue,#malaria [367] antes,hubo [367] hubo,covid19 [367] covid19,#dengue [367] #malaria,#leptospirosis [367] #leptospirosis,mientras [367] mientras,minsa_peru [367] minsa_peru,autoridadrcc [367] autoridadrcc,quieren [366] gipeit,antes Top Word Pairs in Tweet in G1:
[41] #lecture,#infectiousdiseases [41] #infectiousdiseases,dr [41] dr,saman [41] saman,habib [41] habib,chief [41] chief,scientist [41] scientist,csir_cdri [34] take,#malaria [34] #malaria,pill [25] #malaria,#parasites Top Word Pairs in Tweet in G2:
[78] keynote,speaker [78] april,25 [71] prof,kevin [71] kevin,marsh [70] #wmd2022,coming [70] coming,april [69] against,#malaria [67] jhmrimalaria,#wmd2022 [59] #jhmri,world [59] world,malaria Top Word Pairs in Tweet in G3:
[366] antes,hubo [366] hubo,covid19 [366] covid19,#dengue [366] #dengue,#malaria [366] #malaria,#leptospirosis [366] #leptospirosis,mientras [366] mientras,minsa_peru [366] minsa_peru,autoridadrcc [366] autoridadrcc,quieren [365] gipeit,antes Top Word Pairs in Tweet in G4:
[16] against,#malaria [13] fight,against [12] contra,#malaria [9] covid,19 [8] impacto,tiempos [8] uso,intensivo [7] #bohemiaproject,launches [7] ÿ,current [7] current,state [7] state,fight Top Word Pairs in Tweet in G5:
[16] world,immunisation [16] immunisation,week [15] huge,programme [15] programme,world [15] week,2022 [15] 2022,experts [15] experts,around [15] around,world [15] world,explore [14] #worldmalariaday,around Top Word Pairs in Tweet in G6:
[66] hiring,looking [66] looking,postdoc [66] postdoc,join [66] join,#nyc [66] #nyc,columbia_mi [66] columbia_mi,projects [66] projects,using [66] using,situ [66] situ,#cryoet [66] #cryoet,understand Top Word Pairs in Tweet in G7:
[4] malaria,deaths [4] #malaria,treatment [3] ghana,aiming [3] aiming,having [3] having,malaria [3] deaths,2025 [3] 2025,#ghana [3] #ghana,#malaria [3] #malaria,#health [3] #malaria,#tuberculosis Top Word Pairs in Tweet in G8:
[56] capitol,building [56] building,#monrovia [56] #monrovia,#liberia [56] #liberia,#art [56] #art,#malaria [56] #malaria,#africa [56] #africa,dublencoigor [55] dublencoigor,capitol Top Word Pairs in Tweet in G9:
[21] #hiv,#tb [21] #tb,#malaria [17] thank,usa [17] commitment,#fightforwhatcounts [17] #fightforwhatcounts,end [17] end,#hiv [17] #malaria,leading [17] leading,example [15] usa,ºðÿ [15] ºðÿ,commitment Top Word Pairs in Tweet in G10:
[35] libre,#malaria [24] msaludpy,#paraguay [19] #paraguay,primer [19] primer,paã [19] paã,sudamã [19] sudamã,rica [19] rica,lograr [19] lograr,certificaciã [19] certificaciã,libre [19] #malaria,importante Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: