The graph represents a network of 5,452 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 15:12 UTC.
The tweets in the network were tweeted over the 1394-day, 14-hour, 37-minute period from Wednesday, 06 March 2019 at 10:22 UTC to Friday, 30 December 2022 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 : 5452
Unique Edges : 2272
Edges With Duplicates : 9882
Total Edges : 12154
Number of Edge Types : 9
Retweet : 4072
MentionsInRetweet : 4359
Tweet : 549
Quote : 61
MentionsInReplyTo : 1440
Replies to : 697
Mentions : 931
MentionsInQuoteReply : 23
MentionsInQuote : 22
Self-Loops : 696
Reciprocated Vertex Pair Ratio : 0.0196322842006856
Reciprocated Edge Ratio : 0.0385085574572127
Connected Components : 685
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 2233
Maximum Edges in a Connected Component : 4611
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.868723
Graph Density : 0.00022019693089087
Modularity : 0.509821
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,452 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 15:12 UTC.
The tweets in the network were tweeted over the 1394-day, 14-hour, 37-minute period from Wednesday, 06 March 2019 at 10:22 UTC to Friday, 30 December 2022 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:
[2036] malaria,go [2034] small,dey [2034] dey,rest [2034] offline,small [2033] boy,malaria [2032] see,girl [2032] dey,offline [2032] girl,dey [2032] hide,tell [2032] tell,boy Top Word Pairs in Tweet in G1:
[2027] malaria,go [2027] dey,hide [2027] hide,tell [2027] offline,small [2027] small,dey [2027] girl,dey [2027] see,girl [2027] dey,offline [2027] go,dey [2027] tell,boy Top Word Pairs in Tweet in G2:
[395] immer,überall [395] endemisch,bedeutet [394] überall,erwarten [394] malaria,afrika [394] erwarten,hiv [394] afrika,endemisch [394] erreger,immer [394] hiv,malaria [394] endemisch,die [394] bedeutet,erreger Top Word Pairs in Tweet in G3:
[443] people,forcibly [443] measles,malaria [443] displaced,fano [443] oromo,people [443] diarrhea,measles [443] forcibly,displaced [443] terrorists,being [443] fano,terrorists [443] exposed,diarrhea [443] being,exposed Top Word Pairs in Tweet in G4:
[9] agency,75 [9] management,agency [9] people,treated [9] lagos,state [9] 976,cases [9] 265,people [9] lashma,lagos [9] treated,dental [9] state,health [9] administration,mr Top Word Pairs in Tweet in G5:
[182] recht,indem [182] fakten,ausspricht [182] #hiv,#malaria [182] ausspricht,#hiv [182] mann,sowas [182] indem,einfache [182] sowas,recht [182] einfache,fakten [178] #malaria,endemisch [178] endemisch,rechtfertigt Top Word Pairs in Tweet in G6:
[175] lagos,state [174] state,health [169] 343,people [169] 75,343 [165] health,management [165] management,agency [163] lashma,lagos [140] agency,75 [117] people,treated [104] administration,mr Top Word Pairs in Tweet in G7:
[101] cancer,dysentery [101] malaria,pneumonia [101] skin,cancer [101] two,plane [101] hepatitis,diabetes [101] pneumonia,anthrax [101] anthrax,skin [101] survived,malaria [101] diabetes,two [101] anemia,hepatitis Top Word Pairs in Tweet in G8:
[8] fight,against [8] community,health [7] end,malaria [6] manatíes,últimas [6] últimas,sirenas [6] resting,place [6] hoy,#enportada [6] health,worker [6] biting,time [6] time,resting Top Word Pairs in Tweet in G9:
[3] marina72886813,buchinswantje [3] advokatin_b,grutterstephan [3] tina63283141,keksy19 [3] keksy19,marina72886813 [3] grutterstephan,tina63283141 [3] alexa122021,swantjebuchin [3] buchinswantje,alexa122021 [2] vielleicht,googelt [2] _serverschrank,gluckspilz_sven [2] ernoemarianne,58brunobrunello Top Word Pairs in Tweet in G10:
[6] thingy665,ajewfromjudea [6] traseas7,bob_alian [6] ronisonit,wiseduck2 [6] ajewfromjudea,ronisonit [5] bgoerckerobert,ireneminkema [5] jonathanweissb3,harrismodche [5] abrahamibnezra,journalofajew [5] katsikajules,dwight9898 [5] victornakba,rabbiisaacfasi [5] dwight9898,muhamedbenzona 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 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: