The graph represents a network of 3,618 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 05:20 UTC.
The tweets in the network were tweeted over the 2311-day, 6-hour, 39-minute period from Saturday, 05 November 2016 at 17:47 UTC to Monday, 06 March 2023 at 00:27 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 : 3618
Unique Edges : 2589
Edges With Duplicates : 8941
Total Edges : 11530
Number of Edge Types : 9
Retweet : 3549
MentionsInRetweet : 4984
Tweet : 808
Replies to : 183
Mentions : 1420
MentionsInReplyTo : 250
MentionsInQuote : 202
Quote : 133
MentionsInQuoteReply : 1
Self-Loops : 1212
Reciprocated Vertex Pair Ratio : 0.0443679479824058
Reciprocated Edge Ratio : 0.0849661234206189
Connected Components : 437
Single-Vertex Connected Components : 255
Maximum Vertices in a Connected Component : 2560
Maximum Edges in a Connected Component : 9689
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.424941
Graph Density : 0.000417306457605378
Modularity : 0.415928
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,618 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 05:20 UTC.
The tweets in the network were tweeted over the 2311-day, 6-hour, 39-minute period from Saturday, 05 November 2016 at 17:47 UTC to Monday, 06 March 2023 at 00:27 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:
[184] climate,change [183] र,य [168] य,क [166] मल,र [137] against,#malaria [130] burden,#malaria [120] fight,against [119] र,म [112] #malaria,#africa [106] fully,funded Top Word Pairs in Tweet in G1:
[60] malaria,elimination [50] malaria,scorecard [49] best,malaria [49] scorecard,tool [46] honoured,today [46] today,receive [46] people,honoured [46] zambian,people [46] 2022,best [46] tool,award Top Word Pairs in Tweet in G2:
[68] fully,funded [68] aims_rwanda,#callforapplications [67] funded,#phd [67] #malaria,#africa [66] reducing,burden [66] join,fully [66] passionate,reducing [66] burden,#malaria [66] #callforapplications,passionate [66] #africa,join Top Word Pairs in Tweet in G3:
[54] #malaria,pill [54] take,#malaria [27] forget,take [27] pill,hope [27] remember,take [16] malaria,risk [15] risk,map [15] malaria,south [15] african,malaria [15] south,african Top Word Pairs in Tweet in G4:
[61] health,minister [39] discussed,need [39] #mozambique,yesterday [39] tiago,health [39] daniel,tiago [39] strengthen,hospital [39] minister,#mozambique [39] yesterday,discussed [39] welcomed,armindo [39] armindo,daniel Top Word Pairs in Tweet in G5:
[59] malaria,child [52] defeat,malaria [52] made,incredible [52] world,made [52] progress,fight [52] still,dies [52] incredible,progress [52] child,still [52] #malaria,minute [52] fight,defeat Top Word Pairs in Tweet in G6:
[37] malaria,vaccine [36] hospital,admissions [36] rollout,malaria [36] vaccine,western [36] 32,decrease [36] decrease,malaria [36] western,#kenya [36] #kenya,rollout [36] malaria,hospital [36] admissions,western Top Word Pairs in Tweet in G7:
[14] climate,change [13] #mosquitoes,transmit [13] transmit,#malaria [13] africa,moved [13] wednesday,march [13] dr,laurenbarendse [13] sub,saharan [13] malaria,africa [13] africa,#mosquitoes [13] laurenbarendse,h3d_uct Top Word Pairs in Tweet in G8:
[164] य,क [163] र,य [160] मल,र [117] र,म [105] ब,ड [88] ड,ग [88] व,र [83] ग,क [80] पर,य [80] म,ल Top Word Pairs in Tweet in G9:
[80] warmer,weather [80] due,warmer [80] increasingly,live [80] live,more [80] weather,hello [80] climate,change [80] multiple,models [80] predicted,mosquitos [80] mosquitos,increasingly [80] more,places Top Word Pairs in Tweet in G10:
[15] #mosquito,bites [15] #dengue,#chikungunya [15] bites,spread [15] #malaria,#dengue [15] travelling,abroad [15] abroad,#mosquito [15] planning,travelling [15] spread,#malaria [11] support,research [11] #malaria,#nmfi 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 G8:
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: