The graph represents a network of 8,963 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 Friday, 16 December 2022 at 15:16 UTC.
The requested start date was Friday, 16 December 2022 at 01:01 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 2-day, 16-hour, 59-minute period from Tuesday, 13 December 2022 at 08:00 UTC to Friday, 16 December 2022 at 01:00 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 : 8963
Unique Edges : 5450
Edges With Duplicates : 10101
Total Edges : 15551
Number of Edge Types : 5
Tweet : 1447
Replies to : 1584
Mentions : 2486
Retweet : 4395
MentionsInRetweet : 5639
Self-Loops : 1484
Reciprocated Vertex Pair Ratio : 0.0224925407390406
Reciprocated Edge Ratio : 0.0439955106621773
Connected Components : 2008
Single-Vertex Connected Components : 792
Maximum Vertices in a Connected Component : 2366
Maximum Edges in a Connected Component : 6035
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.573373
Graph Density : 0.000110922428173869
Modularity : 0.583065
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,963 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 Friday, 16 December 2022 at 15:16 UTC.
The requested start date was Friday, 16 December 2022 at 01:01 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 2-day, 16-hour, 59-minute period from Tuesday, 13 December 2022 at 08:00 UTC to Friday, 16 December 2022 at 01:00 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:
[488] malaria,already [487] intense,malaria [486] well,having [486] knowing,fully [486] 11pm,knowing [486] called,11pm [486] go,called [486] fully,well [486] already,asleep [486] having,intense Top Word Pairs in Tweet in G1:
[46] penyakit,malaria [42] #lukasdankkbpenjahat,#lawanopm [41] kabupaten,jayapura [40] mewujudkan,bumi [40] untuk,mewujudkan [40] bebas,penyakit [40] malaria,pada [39] bumi,'kenambai [39] 'kenambai,umbai' [39] terus,berupaya Top Word Pairs in Tweet in G2:
[63] fight,against [47] zero,malaria [46] malaria,control [40] against,malaria [37] malaria,visit [33] malaria,report [31] sub,saharan [31] world,malaria [30] touching,hearts [30] hearts,zero Top Word Pairs in Tweet in G3:
[480] intense,malaria [479] fully,well [479] ll,never [479] already,asleep [479] called,11pm [479] never,go [479] 11pm,knowing [479] knowing,fully [479] having,intense [479] malaria,already Top Word Pairs in Tweet in G4:
[330] health,facilities [330] situation,health [330] lacking,malaria [330] critical,pharmaceutical [330] #tigray,worse [330] worse,critical [330] facilities,#tigray [330] pharmaceutical,suplies [330] suplies,lacking [329] profkindeya,situation Top Word Pairs in Tweet in G5:
[242] question,fine [242] fine,guy [242] guy,question [242] girl,fine [242] girl,girl [242] fine,fine [241] shonibareee,girl [241] fine,quest [46] alert,don [46] cause,malaria Top Word Pairs in Tweet in G6:
[170] settles,trump [170] jacklyons1952,halfwaypost [170] dust,settles [170] sentenced,fanfuckingtastic [170] convicted,sentenced [170] halfwaypost,dust [170] trump,indicted [170] indicted,convicted [5] malaria,flew [5] york,shopping Top Word Pairs in Tweet in G7:
[128] once,released [128] gates,once [128] during,ted [128] talk,saying [128] audience,talking [128] bill,gates [128] malaria,during [128] released,mosquitos [128] ted,talk [128] talking,malaria Top Word Pairs in Tweet in G8:
[2] outriderted,desuetudine [2] mikey007007,robertleffel [2] brad_spielman,tax_dodge_hodge [2] swepal1,finkley1 [2] harrismodche,abrahamibnezra [2] awakenotawoke,victornakba [2] until,early [2] felixcatus8,32wj [2] rabbiisaacfasi,ajewfromjudea [2] screenstarr,jonathanweissb3 Top Word Pairs in Tweet in G9:
[47] crianças,yanomami [41] causas,evitáveis [39] evitáveis,média [39] yanomami,morrem [39] mais,causas [39] mostra,agenciapublica [39] 10x,mais [39] média,nacional [39] grave,crianças [39] quase,10x Top Word Pairs in Tweet in G10:
[114] bee,important [114] malaria,queen [114] queen,bee [114] causes,malaria [114] mosquito,causes [114] human,beings [114] female,anopheles [114] anopheles,mosquito [114] colony,human [114] important,colony Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: