The graph represents a network of 5,932 Twitter users whose recent tweets contained "Malaria", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 15:15 UTC.
The tweets in the network were tweeted over the 1576-day, 7-hour, 59-minute period from Wednesday, 14 November 2018 at 17:00 UTC to Friday, 10 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5932
Unique Edges : 3406
Edges With Duplicates : 9953
Total Edges : 13359
Number of Edge Types : 9
Retweet : 3092
MentionsInRetweet : 3965
Replies to : 1491
MentionsInReplyTo : 2783
Tweet : 986
Mentions : 763
Quote : 155
MentionsInQuote : 82
MentionsInQuoteReply : 42
Self-Loops : 1419
Reciprocated Vertex Pair Ratio : 0.0368747166389603
Reciprocated Edge Ratio : 0.0711266579215858
Connected Components : 1091
Single-Vertex Connected Components : 364
Maximum Vertices in a Connected Component : 1152
Maximum Edges in a Connected Component : 3889
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.224346
Graph Density : 0.000195010660355382
Modularity : 0.513831
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,932 Twitter users whose recent tweets contained "Malaria", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 15:15 UTC.
The tweets in the network were tweeted over the 1576-day, 7-hour, 59-minute period from Wednesday, 14 November 2018 at 17:00 UTC to Friday, 10 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[815] malaria,last [805] symptoms,malaria [801] last,cum [801] headaches,symptoms [756] bod_republic,headaches [271] malaria,vaccine [161] dengue,malaria [152] mosquitos,infectados [152] malaria,transmite [152] infectados,informate Top Word Pairs in Tweet in G1:
[758] last,cum [757] symptoms,malaria [757] headaches,symptoms [757] malaria,last [752] bod_republic,headaches [2] wey,dey [2] headache,wey [2] everyday,don [2] bod_republic,malaria [2] dey,hot Top Word Pairs in Tweet in G2:
[68] women,girls [67] fight,against [49] bed,nets [48] against,#malaria [44] malaria,vaccine [43] around,world [39] health,societal [39] societal,economic [37] female,scientists [36] world,making Top Word Pairs in Tweet in G3:
[32] symptoms,malaria [32] malaria,vaccine [32] headaches,symptoms [32] malaria,last [31] last,cum [17] dengue,malaria [16] first,malaria [16] world,first [11] against,malaria [9] use,world Top Word Pairs in Tweet in G4:
[152] infectados,informate [152] picadura,mosquitos [152] través,picadura [152] informate,únete [152] malaria,transmite [152] sabías,malaria [152] transmite,través [152] mosquitos,infectados [152] únete,nuestra [150] isp_bolivar,sabías Top Word Pairs in Tweet in G5:
[86] malaria,aa [85] very,prone [85] known,fact [85] ss,really [85] people,ss [85] fact,people [85] add,known [85] really,malaria [85] aa,very [85] prone,malaria Top Word Pairs in Tweet in G6:
[15] bill,gates [9] malaria,vaccine [7] harmful,malaria [7] way,below [7] malaria,cholera [7] change,worsen [7] approved,harmful [7] cholera,situation [7] africa,experts [7] worsen,malaria Top Word Pairs in Tweet in G7:
[101] malaria,vaccine [89] vaccine,kenya [89] 400,000 [89] received,malaria [85] 000,children' [85] children',received [84] agency,youtube [84] kenya,afp [84] afp,source [84] source,afp Top Word Pairs in Tweet in G8:
[19] naija_pr,lil [19] lil,malaria [11] please,help [9] buy,drugs [8] malaria,drugs [7] ment,malaria [6] pls,sir [6] buy,malaria [5] sir,sick [5] female,anopheles Top Word Pairs in Tweet in G9:
[58] wonders,suddenly [57] africans,look [57] suddenly,rest [57] meticulously,build [57] plan,meticulously [57] rest,world [57] world,plan [57] build,toward [57] toward,success [57] look,wonders Top Word Pairs in Tweet in G10:
[55] fredsimontlm,george [54] before,dying [54] dying,sudden [44] sudden,case [44] exposed,much [44] george,never [44] held,back [44] church,before [44] back,exposed [44] evil,plaguing 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: