The graph represents a network of 4,289 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, 15 August 2022 at 04:20 UTC.
The requested start date was Monday, 15 August 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, 4-minute period from Monday, 01 August 2022 at 00:55 UTC to Sunday, 14 August 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 : 4289
Unique Edges : 2428
Edges With Duplicates : 12291
Total Edges : 14719
Number of Edge Types : 5
Mentions : 1797
Retweet : 5477
MentionsInRetweet : 6679
Tweet : 648
Replies to : 118
Self-Loops : 691
Reciprocated Vertex Pair Ratio : 0.0220647447253986
Reciprocated Edge Ratio : 0.0431768042861645
Connected Components : 222
Single-Vertex Connected Components : 97
Maximum Vertices in a Connected Component : 3700
Maximum Edges in a Connected Component : 13891
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.87741
Graph Density : 0.000345055730904814
Modularity : 0.378091
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 4,289 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, 15 August 2022 at 04:20 UTC.
The requested start date was Monday, 15 August 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, 4-minute period from Monday, 01 August 2022 at 00:55 UTC to Sunday, 14 August 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:
[1385] #malaria,outbreak [788] know,#malaria [788] outbreak,#tigray [788] #tigray,ethiopia [782] under,siege [780] ethiopia,tigray [780] tigray,remains [780] remains,under [780] siege,tigrayans [778] tigrayans,face Top Word Pairs in Tweet in G1:
[1346] #malaria,outbreak [769] know,#malaria [769] outbreak,#tigray [769] #tigray,ethiopia [763] ethiopia,tigray [763] tigray,remains [763] remains,under [763] under,siege [763] siege,tigrayans [761] tigrayans,face Top Word Pairs in Tweet in G2:
[92] fight,against [83] against,#malaria [76] #malaria,molecular [76] molecular,entomology [76] entomology,training [65] cam_crid,dr [60] malaria,surveillance [60] surveillance,africa [52] #youth,#africa [49] #malaria,mosquitoes Top Word Pairs in Tweet in G3:
[103] àª,ઠ[49] #dengue,#malaria [38] monoclonal,antibody [35] take,#malaria [35] #malaria,pill [32] र,य [29] म,र [27] ब,म [23] against,#malaria [23] फ,ल Top Word Pairs in Tweet in G4:
[438] zonal,commissioner [428] gvmc,dr [388] friday,dry [384] dry,day [275] day,program [268] dr,kslg [268] kslg,sastry [268] awareness,friday [268] program,prevention [264] cmoh,gvmc Top Word Pairs in Tweet in G5:
[217] condiciones,vida [211] vida,muchas [211] muchas,personas [211] visto,afectadas [206] personas,callao [206] callao,bolívar [206] bolívar,#venezuela [206] #venezuela,visto [205] cicr_es,condiciones [205] afectadas,violenci Top Word Pairs in Tweet in G6:
[45] health,services [43] due,improved [43] improved,health [43] health,systems [43] systems,better [43] better,essential [43] essential,health [43] services,#africans [43] #africans,living [43] living,longer Top Word Pairs in Tweet in G7:
[34] mybmc,mid_day [34] mybmcwardhw,mybmcgardens [34] mybmcgardens,mybmcswm [34] mybmcswm,mybmchealthdept [34] mybmchealthdept,#joggerspark [33] #joggerspark,bandra [33] mumbaimatterz,iqbalsinghchah2 [33] iqbalsinghchah2,mybmc [33] mid_day,#mybmc [33] #mybmc,cmomaharashtra Top Word Pairs in Tweet in G8:
[40] looking,#datamanager [24] come,work [21] #datamanager,varied [21] varied,role [21] role,working [21] working,health [21] health,related [21] related,datasets [19] #datamanager,work [19] research,themes Top Word Pairs in Tweet in G9:
[51] malaria,parasites [49] looking,phd [49] phd,student [49] student,work [49] work,glycosylation [49] glycosylation,malaria [49] parasites,more [49] more,information [48] drboddey,looking [16] single,dose Top Word Pairs in Tweet in G10:
[5] #dengue,#malaria [5] jago,hinduo [4] #malaria,#yellowfever [4] hinduo,jago [3] against,malaria [3] šà,šà [3] ÿà,ÿà [3] #malaria,#covid19 [3] #malaria,#health [3] #malaria,#dengue Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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 G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: