The graph represents a network of 4,179 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 2031-day, 14-hour, 13-minute period from Saturday, 17 June 2017 at 09:15 UTC to Sunday, 08 January 2023 at 23:28 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 : 4179
Unique Edges : 2792
Edges With Duplicates : 8649
Total Edges : 11441
Number of Edge Types : 9
Retweet : 3477
MentionsInRetweet : 4888
Quote : 123
MentionsInQuote : 164
Tweet : 923
Mentions : 1251
MentionsInReplyTo : 402
Replies to : 209
MentionsInQuoteReply : 4
Self-Loops : 1272
Reciprocated Vertex Pair Ratio : 0.027147704947312
Reciprocated Edge Ratio : 0.0528603721091984
Connected Components : 528
Single-Vertex Connected Components : 301
Maximum Vertices in a Connected Component : 2377
Maximum Edges in a Connected Component : 7891
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.877256
Graph Density : 0.000329384046678032
Modularity : 0.45229
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,179 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 2031-day, 14-hour, 13-minute period from Saturday, 17 June 2017 at 09:15 UTC to Sunday, 08 January 2023 at 23:28 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:
[331] #hiv,#malaria [308] #malaria,endemisch [307] recht,indem [307] fakten,ausspricht [307] einfache,fakten [307] sowas,recht [307] ausspricht,#hiv [307] mann,sowas [307] indem,einfache [302] endemisch,rechtfertigt Top Word Pairs in Tweet in G1:
[68] #malaria,cases [41] global,efforts [38] fight,against [38] #malaria,control [30] mesamalaria,#malaria [28] #malaria,elimination [26] funding,model [26] globalfund,funding [25] 95,#malaria [23] world,malaria Top Word Pairs in Tweet in G2:
[306] fakten,ausspricht [306] indem,einfache [306] ausspricht,#hiv [306] recht,indem [306] mann,sowas [306] #hiv,#malaria [306] sowas,recht [306] einfache,fakten [305] #malaria,endemisch [301] endemisch,rechtfertigt Top Word Pairs in Tweet in G3:
[63] take,#malaria [62] #malaria,pill [31] forget,take [31] pill,hope [31] remember,take [23] र,य [18] छत,त [18] त,सगढ [18] क,त [17] मल,र Top Word Pairs in Tweet in G4:
[151] fight,against [151] against,#malaria [150] millions,more [150] people,access [150] access,powerful [150] powerful,tool [150] milestone,fight [150] #malaria,millions [150] more,people [150] major,milestone Top Word Pairs in Tweet in G5:
[72] soon,looking [72] looking,perfect [72] #postdoc,2023 [72] submitting,thesis [72] first,#postdoc [72] #malaria,serosurveillance [72] perfect,first [72] experience,#malaria [72] 2023,experience [72] thesis,soon Top Word Pairs in Tweet in G6:
[30] #malaria,vaccine [29] deputy,director [29] first,#malaria [25] kills,three [25] three,people [25] #malaria,kills [23] day,accounts [23] admissions,upcoming [23] hospital,admissions [23] people,malawi Top Word Pairs in Tweet in G7:
[45] #malaria,cases [33] cases,deaths [33] deaths,remained [33] 19,#malaria [33] impact,covid [33] covid,19 [33] remained,stable [31] ungeneva,despite [30] decreased,2021 [30] shows,malaria Top Word Pairs in Tweet in G8:
[12] african,conversations [10] conversations,program [9] transformative,technologies [9] technologies,such [9] #malaria,african [9] case,transformative [9] drives,control [9] such,gene [9] control,#malaria [9] medidas,preventivas Top Word Pairs in Tweet in G9:
[25] access,effective [25] barriers,access [18] community,groups [17] #chvs,facilitate [17] facilitate,health [17] health,dialogues [17] dialogues,improve [15] #tuberculosis,#malaria [15] breaking,barriers [15] #malaria,#tuberculosis Top Word Pairs in Tweet in G10:
[14] #vaccine,shows [14] west,african [14] safety,efficacy [14] african,adults [14] shows,safety [14] battle,against [14] chain,polymer [14] adults,ummedschool [14] ummedschool,sciencetm [14] #malaria,#vaccine Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: