The graph represents a network of 2,829 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, 23 May 2022 at 04:19 UTC.
The requested start date was Monday, 23 May 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 13-day, 11-hour, 38-minute period from Monday, 09 May 2022 at 00:21 UTC to Sunday, 22 May 2022 at 12:00 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 : 2829
Unique Edges : 2282
Edges With Duplicates : 6494
Total Edges : 8776
Number of Edge Types : 5
Retweet : 2859
MentionsInRetweet : 4305
Tweet : 547
Mentions : 1017
Replies to : 48
Self-Loops : 588
Reciprocated Vertex Pair Ratio : 0.0281783891723985
Reciprocated Edge Ratio : 0.0548122572291757
Connected Components : 149
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 2454
Maximum Edges in a Connected Component : 8262
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.724165
Graph Density : 0.000579220170161237
Modularity : 0.444265
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,829 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, 23 May 2022 at 04:19 UTC.
The requested start date was Monday, 23 May 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 13-day, 11-hour, 38-minute period from Monday, 09 May 2022 at 00:21 UTC to Sunday, 22 May 2022 at 12:00 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 Entire Graph:
[191] many,children [190] kills,many [190] children,safe [190] safe,effective [190] effective,vaccine [190] vaccine,give [190] give,hope [188] hope,change [188] change,tragic [187] #malaria,kills Top Word Pairs in Tweet in G1:
[46] take,#malaria [46] #malaria,pill [33] fight,against [28] forget,take [27] #tb,#malaria [24] malaria,report [23] clear,picture [23] picture,state [21] #chmm,2022 [21] 2022,#commonwealth Top Word Pairs in Tweet in G2:
[61] #hiv,#tb [44] #malaria,#hiv [42] globalfund,ed [42] ed,karolinskainst [42] karolinskainst,#malaria [42] #tb,control [42] control,#rwanda [42] #rwanda,partnership [42] partnership,between [42] between,gf Top Word Pairs in Tweet in G3:
[172] kills,many [172] many,children [172] children,safe [172] safe,effective [172] effective,vaccine [172] vaccine,give [172] give,hope [171] hope,change [171] change,tragic [170] #malaria,kills Top Word Pairs in Tweet in G4:
[50] #malaria,vaccine [47] first,#malaria [39] 2021,recommended [38] highlight,#2 [38] #2,2021 [38] recommended,use [38] use,first [38] vaccine,children [38] children,sub [38] sub,saharan Top Word Pairs in Tweet in G5:
[18] #malaria,parasites [16] looking,#datamanager [13] resistant,#malaria [12] director,professor [12] professor,philippe [12] philippe,guérin [12] #covid19,#malaria [12] #datamanager,work [12] research,themes [12] themes,including Top Word Pairs in Tweet in G6:
[21] during,daytime [17] diurnal,biting [17] #malaria,#mosquitoes [17] recent,work [17] work,reveals [17] reveals,significant [17] significant,fraction [17] fraction,bites [17] bites,occurring [17] occurring,during Top Word Pairs in Tweet in G7:
[99] spectacular,discovery [99] discovery,frischknechtlab [99] frischknechtlab,#malaria [99] #malaria,#sporozoites [99] #sporozoites,form [99] form,rotating [99] rotating,vortices [99] vortices,theoretical [99] theoretical,analysis [98] schwarzulrich,spectacular Top Word Pairs in Tweet in G8:
[72] #hiring,postdoc [72] postdoc,research [72] research,assistant [72] assistant,join [72] join,study [72] study,#malaria [72] #malaria,#vaccine [72] #vaccine,evidence [72] evidence,mouse [72] mouse,work Top Word Pairs in Tweet in G9:
[106] awareness,campaigns [106] campaigns,conducted [106] conducted,gvmc [106] gvmc,officials [106] officials,sensitize [106] sensitize,citizens [106] citizens,prevention [106] prevention,mosquito [106] mosquito,borne [106] borne,seasonal Top Word Pairs in Tweet in G10:
[28] insecticide,treated [28] treated,nets [28] #apti,fellow [28] interview,scienceafrica5 [26] dr,henrietta [26] henrietta,mensah [26] mensah,brown [26] brown,#apti [26] fellow,#biologist [26] #biologist,#ghana Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: