The graph represents a network of 3,644 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, 13 July 2020 at 04:58 UTC.
The requested start date was Monday, 13 July 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 11-day, 20-hour, 41-minute period from Tuesday, 30 June 2020 at 13:06 UTC to Sunday, 12 July 2020 at 09:48 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 : 3644
Unique Edges : 2665
Edges With Duplicates : 9652
Total Edges : 12317
Number of Edge Types : 5
Retweet : 3770
MentionsInRetweet : 5681
Tweet : 534
Mentions : 2203
Replies to : 129
Self-Loops : 658
Reciprocated Vertex Pair Ratio : 0.025860498998361
Reciprocated Edge Ratio : 0.050417184448784
Connected Components : 362
Single-Vertex Connected Components : 181
Maximum Vertices in a Connected Component : 2642
Maximum Edges in a Connected Component : 10628
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.880288
Graph Density : 0.000424328509361743
Modularity : 0.425295
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 3,644 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, 13 July 2020 at 04:58 UTC.
The requested start date was Monday, 13 July 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 11-day, 20-hour, 41-minute period from Tuesday, 30 June 2020 at 13:06 UTC to Sunday, 12 July 2020 at 09:48 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:
[895] developing,countries [784] #tb,#malaria [742] #hiv,#tb [625] decades,progress [361] 1b,globalfund [355] towards,ending [355] approve,1b [354] progress,towards [353] countries,hardest [353] ending,#hiv Top Word Pairs in Tweet in G1:
[87] 15,years [68] malaria,libre [64] #malaria,community [62] open,source [61] libre,open [58] drug,discovery [57] good,news [57] news,#malaria [56] source,collaborative [56] collaborative,drug Top Word Pairs in Tweet in G2:
[143] looking,exciting [143] exciting,phd [143] phd,opportunity [143] opportunity,#parasitology [143] #parasitology,year [143] year,fellowship [143] fellowship,available [143] available,montpellier [143] montpellier,dissect [143] dissect,dna Top Word Pairs in Tweet in G3:
[220] non,#covid [172] ample,precautions [172] stay,protected [172] protected,#malaria [155] diagnosis,treatment [155] treatment,#malaria [155] available,free [155] free,cost [147] mohfw_india,diagnosis [146] attack,times Top Word Pairs in Tweet in G4:
[24] take,#malaria [24] #malaria,pill [13] covid,19 [12] forget,take [12] remember,take [12] pill,hope [9] #media,confirmations [9] confirmations,#disease [9] #disease,southern [9] southern,part Top Word Pairs in Tweet in G5:
[889] developing,countries [699] #tb,#malaria [667] #hiv,#tb [610] decades,progress [360] 1b,globalfund [353] approve,1b [351] countries,hardest [351] progress,towards [351] towards,ending [351] ending,#hiv Top Word Pairs in Tweet in G6:
[32] diseases,#measles [32] #measles,#polio [32] #polio,#malaria [32] #malaria,thrive [32] thrive,immunization [32] immunization,paused [32] paused,supply [32] supply,chains [30] chains,medical [30] medical,supplies Top Word Pairs in Tweet in G7:
[149] someone,asked [147] dratangwho,someone [134] people,#genotypeaa [134] #genotypeaa,more [134] more,prone [129] answer,thread [128] asked,people [128] prone,#malaria [128] #malaria,let's [128] let's,quickly Top Word Pairs in Tweet in G8:
[128] cheaper,way [128] way,treat [128] treat,malaria [128] malaria,450 [128] 450,month [128] month,malaria [128] malaria,protection [128] protection,plan [128] plan,includes [128] includes,rapid Top Word Pairs in Tweet in G9:
[51] #hiv,#tb [49] #tb,#malaria [33] impact,#covid19 [20] #malaria,programs [19] #covid19,#hiv [19] programs,africa [19] africa,mitigate [19] mitigate,disruption [18] kelinkenya,impact [16] disruption,servic Top Word Pairs in Tweet in G10:
[54] #covid19,present [54] present,#malaria [54] #malaria,symptoms [54] symptoms,way [54] way,sure [54] sure,#gettested [54] #gettested,feel [54] feel,unwell [54] unwell,please [53] whonigeria,#covid19 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: