The graph represents a network of 3,541 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 1526-day, 2-hour, 33-minute period from Sunday, 06 January 2019 at 21:19 UTC to Sunday, 12 March 2023 at 23:52 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 : 3541
Unique Edges : 2650
Edges With Duplicates : 9018
Total Edges : 11668
Number of Edge Types : 9
Retweet : 3531
MentionsInRetweet : 5093
Tweet : 798
Mentions : 1470
MentionsInQuote : 167
Quote : 131
Replies to : 203
MentionsInReplyTo : 274
MentionsInQuoteReply : 1
Self-Loops : 1234
Reciprocated Vertex Pair Ratio : 0.0471444998083557
Reciprocated Edge Ratio : 0.0900439238653001
Connected Components : 446
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 2435
Maximum Edges in a Connected Component : 9658
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.182144
Graph Density : 0.000435894613063755
Modularity : 0.409024
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,541 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 05:19 UTC.
The tweets in the network were tweeted over the 1526-day, 2-hour, 33-minute period from Sunday, 06 January 2019 at 21:19 UTC to Sunday, 12 March 2023 at 23:52 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:
[287] र,य [266] य,क [249] मल,र [196] र,म [180] climate,change [176] against,#malaria [174] fight,against [166] ब,ड [147] ड,ग [138] ग,क Top Word Pairs in Tweet in G1:
[79] against,#malaria [75] fight,against [52] sub,saharan [46] pregnant,women [42] saharan,africa [40] indoor,residual [40] anopheles,stephensi [40] residual,spraying [40] malaria,elimination [40] malariayouthke,malaria Top Word Pairs in Tweet in G2:
[66] aims_rwanda,#callforapplications [65] burden,#malaria [65] fully,funded [65] #malaria,#africa [65] funded,#phd [64] reducing,burden [64] #africa,join [64] #callforapplications,passionate [64] join,fully [64] passionate,reducing Top Word Pairs in Tweet in G3:
[65] health,minister [48] #malaria,vaccine [41] strengthen,hospital [41] yesterday,discussed [41] need,strengthen [41] welcomed,armindo [41] minister,#mozambique [41] #mozambique,yesterday [41] malaria,vaccine [41] tiago,health Top Word Pairs in Tweet in G4:
[53] #malaria,pill [53] take,#malaria [27] pill,hope [27] remember,take [26] forget,take [15] malaria,risk [14] risk,map [14] malaria,south [14] african,malaria [14] south,african Top Word Pairs in Tweet in G5:
[47] #tb,#malaria [38] #hiv,#tb [23] today,#zerodiscrimination [23] day,people [23] #zerodiscrimination,day [23] same,people [23] vulnerable,#hiv [23] people,vulnerable [23] #malaria,same [22] minister,nsanzimanasabin Top Word Pairs in Tweet in G6:
[51] indoor,residual [51] residual,spraying [47] prevent,breeding [47] homes,indoor [47] breeding,mosquitoes [47] advisory,remove [47] mosquito,bites [47] malaria,prevention [47] prevention,please [47] remove,stagnant Top Word Pairs in Tweet in G7:
[261] य,क [260] र,य [244] मल,र [195] र,म [166] ब,ड [144] ड,ग [137] ग,क [135] म,ल [125] व,र [122] य,जन Top Word Pairs in Tweet in G8:
[82] warmer,weather [82] due,warmer [82] increasingly,live [82] live,more [82] weather,hello [82] climate,change [82] multiple,models [82] predicted,mosquitos [82] mosquitos,increasingly [82] more,places Top Word Pairs in Tweet in G9:
[25] #malaria,vaccine [18] #malaria,#dengue [18] bites,spread [18] spread,#malaria [18] travelling,abroad [18] abroad,#mosquito [18] planning,travelling [18] #dengue,#chikungunya [18] #mosquito,bites [17] go,meet Top Word Pairs in Tweet in G10:
[24] vivax,#malaria [22] cure,vivax [22] radical,cure [22] #malaria,better [22] webinar,radical [20] better,presentations [14] #covid,#newborn [14] #newborn,care [14] editorial,#xxb15 [14] check,february 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 G7:
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: