The graph represents a network of 3,737 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, 25 May 2020 at 04:56 UTC.
The requested start date was Monday, 25 May 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 8-day, 19-hour, 0-minute period from Friday, 15 May 2020 at 15:00 UTC to Sunday, 24 May 2020 at 10:00 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 : 3737
Unique Edges : 3060
Edges With Duplicates : 10064
Total Edges : 13124
Number of Edge Types : 5
Retweet : 3638
MentionsInRetweet : 6624
Tweet : 624
Mentions : 2056
Replies to : 182
Self-Loops : 712
Reciprocated Vertex Pair Ratio : 0.0284436493738819
Reciprocated Edge Ratio : 0.0553139676465472
Connected Components : 546
Single-Vertex Connected Components : 261
Maximum Vertices in a Connected Component : 2143
Maximum Edges in a Connected Component : 10617
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.518137
Graph Density : 0.000411777244626482
Modularity : 0.409857
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,737 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, 25 May 2020 at 04:56 UTC.
The requested start date was Monday, 25 May 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 8-day, 19-hour, 0-minute period from Friday, 15 May 2020 at 15:00 UTC to Sunday, 24 May 2020 at 10:00 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:
[88] #malaria,drug [77] र,क [69] #covid19,#malaria [68] covid,19 [68] trump,taking [68] #dengue,#malaria [68] taking,#malaria [68] #lupus,#malaria [68] #hiv,#malaria [68] #hydroxychloroquine,#malaria Top Word Pairs in Tweet in G3:
[16] job,alert [10] ecrmalaria,job [9] stuck,home [9] home,read [8] read,#topcitedreviews [7] trendsparasitol,stuck [7] alert,billker [7] billker,lab [6] lab,sweden [6] sweden,fellowships Top Word Pairs in Tweet in G4:
[43] #malaria,vaccine [40] many,children [37] 2019,launched [37] launched,pilot [37] pilot,programme [32] programme,world [26] world,first [26] first,#malaria [26] vaccine,save [26] save,many Top Word Pairs in Tweet in G5:
[63] two,vaccines [63] vaccines,#malaria [62] #malaria,based [62] based,genetically [62] genetically,engineered [62] engineered,malaria [62] malaria,parasites [62] parasites,found [62] found,safe [62] safe,humans Top Word Pairs in Tweet in G6:
[48] molecular,genomics [48] genomics,bioinformatics [48] bioinformatics,skills [48] skills,currently [48] currently,australia [48] australia,looking [48] looking,short [48] short,term [48] term,contract [48] doctorbaz,molecular Top Word Pairs in Tweet in G7:
[59] #covid19,#malaria [59] proyecto,interdisciplinar [59] interdisciplinar,#covid19 [59] quieres,formar [59] formar,proyecto [59] #malaria,pierdas [59] pierdas,oportunidad [59] elenagomezdiaz,quieres [59] oportunidad,ofert [58] investigador,#postdoc Top Word Pairs in Tweet in G8:
[118] developing,countries [117] #tb,#malaria [117] #hiv,#tb [77] decades,progress [77] 1b,globalfund [77] globalfund,500m [77] 500m,pepfar [76] pepfar,emergency [76] countries,hardest [40] progress,towards Top Word Pairs in Tweet in G9:
[895] #vacuna,contra [755] contra,#malaria [674] #malaria,prioridad [637] prioridad,400 [595] 400,000 [494] 000,muertos [483] muertos,2018 [410] microbioblog,#vacuna [359] imagen,observan [359] observan,trofozoitos Top Word Pairs in Tweet in G10:
[102] #malaria,drug [102] drug,touted [102] linked,increased [102] increased,risk [102] #hidroxicloroquina,medicamento [102] medicamento,contra [102] contra,#malaria [101] #chloroquine,#hydroxychloroquine [3] #hydroxychloroquine,#malaria [3] drug,proving 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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