The graph represents a network of 3,704 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, 01 June 2020 at 04:56 UTC.
The requested start date was Monday, 01 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 10-day, 18-hour, 32-minute period from Wednesday, 20 May 2020 at 15:35 UTC to Sunday, 31 May 2020 at 10:07 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 : 3704
Unique Edges : 2793
Edges With Duplicates : 10115
Total Edges : 12908
Number of Edge Types : 5
Mentions : 1840
Retweet : 3720
MentionsInRetweet : 6544
Replies to : 167
Tweet : 637
Self-Loops : 751
Reciprocated Vertex Pair Ratio : 0.0300864986837157
Reciprocated Edge Ratio : 0.0584154801022271
Connected Components : 521
Single-Vertex Connected Components : 260
Maximum Vertices in a Connected Component : 2005
Maximum Edges in a Connected Component : 10194
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.356084
Graph Density : 0.000399390138986019
Modularity : 0.40175
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,704 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, 01 June 2020 at 04:56 UTC.
The requested start date was Monday, 01 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 10-day, 18-hour, 32-minute period from Wednesday, 20 May 2020 at 15:35 UTC to Sunday, 31 May 2020 at 10:07 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:
[74] #malaria,deaths [72] health,services [72] disruptions,essential [72] essential,health [72] services,imply [72] imply,more [72] more,760k [72] 760k,#malaria [72] deaths,2020 [72] 2020,worked Top Word Pairs in Tweet in G3:
[39] take,#malaria [38] #malaria,pill [37] covid,19 [37] #covid,19 [37] forget,take [37] #covid19,#malaria [37] remember,take [37] pill,hope [37] #hiv,#malaria [37] fármaco,contra Top Word Pairs in Tweet in G4:
[22] many,children [21] 2019,launched [12] launched,pilot [12] pilot,programme [11] programme,world [10] world,first [10] first,#malaria [10] #malaria,vaccine [9] vaccine,save [8] save,many Top Word Pairs in Tweet in G5:
[67] 1st,europeans [66] europeans,came [66] came,americas [66] americas,90 [66] 90,native [66] native,populations [66] populations,died [66] died,#measles [66] #measles,#flu [66] #flu,#smallpox Top Word Pairs in Tweet in G6:
[187] contra,#malaria [187] #vacuna,contra [187] #malaria,prioridad [187] prioridad,400 [187] 400,000 [187] 000,muertos [187] muertos,2018 [187] microbioblog,#vacuna [187] responding,#covid19 [187] #covid19,#pandemic Top Word Pairs in Tweet in G7:
[112] developing,countries [110] #tb,#malaria [107] #hiv,#tb [107] decades,progress [107] 1b,globalfund [107] globalfund,500m [107] 500m,pepfar [106] pepfar,emergency [9] countries,hardest [9] progress,towards Top Word Pairs in Tweet in G8:
[889] two,vaccines [751] vaccines,#malaria [668] #malaria,based [631] based,genetically [591] genetically,engineered [490] engineered,malaria [479] malaria,parasites [406] parasites,found [352] found,safe [352] safe,humans Top Word Pairs in Tweet in G9:
[55] #malaria,drug [55] nightlypolitics,flotus [55] flotus,joke [55] joke,#bebest [55] #bebest,campaign [55] campaign,lies [55] lies,deceit [55] deceit,#trump [55] #trump,#melaniagate [55] #hydroxychloroquine,#malaria Top Word Pairs in Tweet in G10:
[15] #sweetwormwood,combined [7] combined,#vitaminc [7] #vitamind3,#zincpicolinate [7] #zincpicolinate,#vitamink1 [7] characterization,200 [7] 200,antibodies [7] antibodies,bind [7] bind,#malaria [7] #malaria,parasite [7] parasite,protein 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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