The graph represents a network of 2,401 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 June 2022 at 04:19 UTC.
The requested start date was Monday, 13 June 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, 9-hour, 54-minute period from Monday, 30 May 2022 at 01:22 UTC to Sunday, 12 June 2022 at 11:16 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 : 2401
Unique Edges : 2161
Edges With Duplicates : 6764
Total Edges : 8925
Number of Edge Types : 5
Retweet : 2842
MentionsInRetweet : 4252
Replies to : 31
Mentions : 1211
Tweet : 589
Self-Loops : 625
Reciprocated Vertex Pair Ratio : 0.029688972667295
Reciprocated Edge Ratio : 0.0576659038901602
Connected Components : 128
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 2132
Maximum Edges in a Connected Component : 8566
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.5911
Graph Density : 0.000758364570317923
Modularity : 0.37844
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,401 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 June 2022 at 04:19 UTC.
The requested start date was Monday, 13 June 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, 9-hour, 54-minute period from Monday, 30 May 2022 at 01:22 UTC to Sunday, 12 June 2022 at 11:16 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:
[237] world,leaders [166] #tb,#malaria [146] #malaria,#ntds [126] fight,against [116] ending,#malaria [115] pledge,canada [114] needs,billion [114] billion,pledge [108] globalfund,needs [107] face,#covid Top Word Pairs in Tweet in G1:
[73] world,leaders [43] take,#malaria [43] #malaria,pill [42] ending,#malaria [41] needs,billion [41] billion,pledge [41] pledge,canada [40] globalfund,needs [40] canada,harjitsajjan [40] harjitsajjan,face Top Word Pairs in Tweet in G2:
[78] #tb,#malaria [73] world,leaders [49] #malaria,#ntds [46] #aids,#tb [46] ending,#malaria [35] investments,globalfund [35] two,decades [35] 10,6m [35] 6m,lives [35] lives,prevented Top Word Pairs in Tweet in G3:
[75] world,leaders [59] #malaria,#ntds [44] community,champions [42] philanthropists,scientific [42] scientific,experts [42] influencers,community [41] leaders,philanthropists [41] experts,global [41] global,influencers [41] fredros_inc,anopheles Top Word Pairs in Tweet in G4:
[74] pledge,canada [73] needs,billion [73] billion,pledge [68] globalfund,needs [67] face,#covid [67] #covid,time [66] canada,harjitsajjan [66] harjitsajjan,face [65] #hiv,#malaria [63] #tuberculosis,#hiv Top Word Pairs in Tweet in G5:
[50] diseases,such [50] #dengue,#malaria [49] simple,measures [49] measures,take [49] take,protect [49] protect,yourself [49] yourself,family [49] family,diseases [49] such,#dengue [48] whowpro,simple Top Word Pairs in Tweet in G6:
[41] protein,synthesis [40] nucleophilic,prodrug [40] prodrug,ml901 [40] ml901,found [40] found,inhibit [40] inhibit,protein [40] synthesis,parasite [40] parasite,causes [40] causes,malaria [38] sciencemagazine,nucleophilic Top Word Pairs in Tweet in G7:
[44] very,pleased [44] pleased,present [44] present,recent [44] recent,study [44] study,#endocytosis [44] #endocytosis,#apicomplexans [44] #apicomplexans,draws [44] draws,#k13 [44] #k13,drug [44] drug,resistance Top Word Pairs in Tweet in G8:
[5] #dengue,#malaria [3] malaria,free [3] mosquito,nets [3] ग,य [3] #manilapestcontrol,#pestfree [3] #pestfree,#malaria [3] #malaria,#scabies [3] #scabies,#foodsafety [3] #foodsafety,#cleaning [3] #cleaning,#servicesoffered Top Word Pairs in Tweet in G9:
[15] june,#antimalariamonth [13] meraindiaicmr,june [9] #malariafreeindia,#endmalaria [9] #endmalaria,#vectorbornediseases [9] nimr_delhi,meraindiaicmr [9] read,online [9] online,first [7] #zeromalaria,#communityparticipation [7] #malaria,#health [7] #health,#education Top Word Pairs in Tweet in G10:
[18] 35,years [16] #malaria,vaccine [14] world,first [13] malaria,vaccine [13] global,health [11] took,35 [10] #hepatitis,visited [10] visited,global [10] health,campus [10] campus,gavi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: