The graph represents a network of 6,243 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 15:14 UTC.
The tweets in the network were tweeted over the 3481-day, 21-hour, 45-minute period from Tuesday, 02 July 2013 at 03:14 UTC to Friday, 13 January 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 : 6243
Unique Edges : 3243
Edges With Duplicates : 9904
Total Edges : 13147
Number of Edge Types : 9
Retweet : 2798
MentionsInRetweet : 3478
MentionsInReplyTo : 3012
Mentions : 666
Replies to : 1876
Tweet : 1106
MentionsInQuote : 61
Quote : 142
MentionsInQuoteReply : 8
Self-Loops : 1432
Reciprocated Vertex Pair Ratio : 0.0408893034825871
Reciprocated Edge Ratio : 0.0785660941000747
Connected Components : 1342
Single-Vertex Connected Components : 490
Maximum Vertices in a Connected Component : 1202
Maximum Edges in a Connected Component : 3673
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.488772
Graph Density : 0.000171804083502071
Modularity : 0.522089
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,243 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 15:14 UTC.
The tweets in the network were tweeted over the 3481-day, 21-hour, 45-minute period from Tuesday, 02 July 2013 at 03:14 UTC to Friday, 13 January 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:
[782] contra,malaria [774] vacuna,contra [774] monos,búho [769] desarrollar,vacuna [769] utilizados,cali [769] malaria,viven [769] búho,utilizados [769] propio,excremento [769] excremento,mueren [769] viven,propio Top Word Pairs in Tweet in G1:
[769] contra,malaria [766] cali,desarrollar [766] malaria,viven [766] excremento,mueren [766] viven,propio [766] utilizados,cali [766] propio,excremento [766] vacuna,contra [766] desarrollar,vacuna [766] monos,búho Top Word Pairs in Tweet in G2:
[54] two,illegal [54] open,border [54] mexican,officials [54] illegal,aliens [53] officials,two [52] malaria,entered [52] aliens,malaria [51] update,mexican [51] border,update [29] biden's,open Top Word Pairs in Tweet in G3:
[232] anti,malaria [228] buy,anti [224] ciprofloxacin,abeg [215] bro,abeg [177] malaria,drug [175] help,buy [174] abeg,please [174] drug,ciprofloxacin [174] wake,morning [174] morning,fever Top Word Pairs in Tweet in G4:
[34] hiv,aids [20] ebola,free [18] diseases,hiv [18] aids,malaria [17] battling,diseases [17] free,let's [17] let's,forget [17] much,country [17] forget,still [17] still,battling Top Word Pairs in Tweet in G5:
[235] illegal,aliens [234] aliens,malaria [234] border,update [234] two,illegal [234] open,border [234] officials,two [234] update,mexican [234] mexican,officials [232] malaria,entered [118] biden's,open Top Word Pairs in Tweet in G6:
[153] hiv,aids [153] questions,hiv [147] patients,hiv [147] answer,questions [147] #tuberculosis,patients [147] working,onecampaign [147] onecampaign,answer [147] hiv,working [147] aids,tuberculosis [146] aproko_doctor,#tuberculosis Top Word Pairs in Tweet in G7:
[58] #meded,#malaria [58] algorithm,treatment [58] decision,algorithm [58] #medtwitter,#foamed [58] #foamed,#meded [58] malaria,#medtwitter [58] treatment,malaria [57] manualomedicine,decision [19] ring,forms [18] five,different Top Word Pairs in Tweet in G8:
[91] malaria,parasites [41] male,female [38] funded,phd [38] phd,postdoc [38] exciting,biology [38] erc,funded [38] ko,screen [38] gene,ko [38] postdoc,positions [38] biology,malaria Top Word Pairs in Tweet in G9:
[43] lives,thousands [43] thousands,kastina [43] 2022,insecurity [43] claimed,lives [43] insecurity,claimed [43] state,northwest [43] kastina,state [43] dear,northerners [43] northwest,highest [43] highest,death Top Word Pairs in Tweet in G10:
[19] dengu,malaria [16] aaj,embed [16] pariyojna,duara [16] embed,pariyojna [15] ki,jankari [15] malaria,ki [13] ibibhar,aaj [12] ko,dengu [10] par,cammunity [10] cammunity,ki 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: